Tim Menzies

491 papers A* 37A 24B 8C 9Misc 1Journal 306Unranked 90
YearRankTypeTitle / Venue / Authors
2026 J jnl
Beyond the Prompt: Assessing Domain Knowledge Strategies for High-Dimensional LLM Optimization in Software Engineering.
CoRR
Srinath Srinivasan, Tim Menzies
2026 J jnl
Can Causality Cure Confusion Caused By Correlation (in Software Analytics)?
CoRR
Amirali Rayegan, Tim Menzies
2026 J jnl
From Brittle to Robust: Improving LLM Annotations for SE Optimization.
CoRR
Lohith Senthilkumar, Tim Menzies
2026 J jnl
From Verification to Herding: Exploiting Software's Sparsity of Influence.
CoRR
Tim Menzies, Kishan Kumar Ganguly
2026 J jnl
SE Journals in 2036: Looking Back at the Future We Need to Have.
CoRR
Tim Menzies, Paris Avgeriou, Robert Feldt, Mauro Pezzè, Abhik Roychoudhury, Miroslaw Staron, Sebastián Uchitel, Thomas Zimmermann
2026 J jnl
SmartOracle - An Agentic Approach to Mitigate Noise in Differential Oracles.
CoRR
Srinath Srinivasan, Tim Menzies, Marcelo d'Amorim
2025 J jnl
AI in State Courts: Navigating Innovation and Ethics With Andrea Miller.
IEEE Softw.
Brittany Johnson, Tim Menzies
2025 J jnl
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets.
CoRR
Kishan Kumar Ganguly, Tim Menzies
2025 J jnl
Can Large Language Models Improve SE Active Learning via Warm-Starts?
CoRR
Lohith Senthilkumar, Tim Menzies
2025 J jnl
Ethics: How Far Have We Come?
IEEE Softw.
Brittany Johnson, Tim Menzies
2025 J jnl
From Coverage to Causes: Data-Centric Fuzzing for JavaScript Engines.
CoRR
Kishan Kumar Ganguly, Tim Menzies
2025 J jnl
How Low Can You Go? The Data-Light SE Challenge.
CoRR
Kishan Kumar Ganguly, Tim Menzies
2025 J jnl
Is Hyper-Parameter Optimization Different for Software Analytics?
IEEE Trans. Software Eng.
Rahul Yedida, Tim Menzies
2025 J jnl
Less Noise, More Signal: DRR for Better Optimizations of SE Tasks.
CoRR
Andre Lustosa, Tim Menzies
2025 J jnl
MOOT: a Repository of Many Multi-Objective Optimization Tasks.
CoRR
Tim Menzies, Tao Chen, Yulong Ye, Kishan Kumar Ganguly, Amirali Rayegan, Srinath Srinivasan, Andre Lustosa
2025 J jnl
Minimal Data, Maximum Clarity: A Heuristic for Explaining Optimization.
CoRR
Amirali Rayegan, Tim Menzies
2025 J jnl
Report from the ASE 2024 Workshop on Replications and Negative Results.
ACM SIGSOFT Softw. Eng. Notes
Rahul Yedida, Tim Menzies
2025 J jnl
Retrospective: Data Mining Static Code Attributes to Learn Defect Predictors.
CoRR
Tim Menzies
2025 J jnl
Retrospective: Data Mining Static Code Attributes to Learn Defect Predictors.
IEEE Trans. Software Eng.
Tim Menzies
2025 J jnl
Shaky Structures: The Wobbly World of Causal Graphs in Software Analytics.
CoRR
Jeremy Hulse, Nasir U. Eisty, Tim Menzies
2025 J jnl
Shaky structures: The wobbly world of causal graphs in software analytics.
Empir. Softw. Eng.
Jeremy Hulse, Nasir U. Eisty, Tim Menzies
2025 J jnl
Smart Cuts: Enhance Active Learning for Vulnerability Detection by Pruning Bad Seeds.
CoRR
Xiang Lan, Tim Menzies, Bowen Xu
2025 J jnl
Software Engineering Principles for Fairer Systems: Experiments with GroupCART.
CoRR
Kewen Peng, Hao Zhuo, Yicheng Yang, Tim Menzies
2025 J jnl
SparseCoder: Advancing source code analysis with sparse attention and learned token pruning.
Empir. Softw. Eng.
Xueqi Yang, Mariusz Jakubowski, Li Kang, Haojie Yu, Tim Menzies
2025 J jnl
The Case for Compact AI.
Commun. ACM
Tim Menzies
2025 J jnl
The Ethical Engineer's Dilemma: An Interview With Jim Herbsleb.
IEEE Softw.
Brittany Johnson, Tim Menzies
2024 J jnl
A brief note, with thanks, on the contributions of Guenther Ruhe.
Inf. Softw. Technol.
Tim Menzies
2024 J jnl
AI Over-Hype: A Dangerous Threat (and How to Fix It).
IEEE Softw.
Brittany Johnson, Tim Menzies
2024 J jnl
Are You Trapped in the Configuration Abyss? An Interview With Prof. Sven Apel.
IEEE Softw.
Brittany Johnson, Tim Menzies
2024 J jnl
Ethics: Why Software Engineers Can't Afford to Look Away.
IEEE Softw.
Brittany Johnson, Tim Menzies
2024 J jnl
FairBalance: How to Achieve Equalized Odds With Data Pre-Processing.
IEEE Trans. Software Eng.
Zhe Yu, Joymallya Chakraborty, Tim Menzies
2024 J jnl
Fighting for What's Right: An Interview With Marc Canellas.
IEEE Softw.
Brittany Johnson, Tim Menzies
2024 J jnl
Learning from Very Little Data: On the Value of Landscape Analysis for Predicting Software Project Health.
ACM Trans. Softw. Eng. Methodol.
Andre Lustosa, Tim Menzies
2024 J jnl
Mining Temporal Attack Patterns from Cyberthreat Intelligence Reports.
CoRR
Md. Rayhanur Rahman, Brandon Wroblewski, Quinn Matthews, Brantley Morgan, Tim Menzies, Laurie A. Williams
2024 J jnl
Powering Down: An Interview With Federica Sarro on Tackling Energy Consumption in AI-Powered Software Systems.
IEEE Softw.
Tim Menzies, Brittany Johnson
2024 — ed.
Proceedings of the 4th International Workshop on Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things, SEA4DQ 2024, Porto de Galinhas, Brazil, 15 July 2024
SEA4DQ@SIGSOFT FSE
Tim Menzies, Bowen Xu, Hong Jin Kang, Jie M. Zhang
2024 J jnl
SEA4DQ 2024 Workshop Summary.
ACM SIGSOFT Softw. Eng. Notes
Tim Menzies, Bowen Xu, Hong Jin Kang, Jie M. Zhang, Jiri Gesi, Sagar Sen, Beatriz Cassoli, Nicolas Jourdan, Jieke Shi, Phu Hong Nguyen, Valentina Golendukhina
2024 J jnl
SMOOTHIE: A Theory of Hyper-parameter Optimization for Software Analytics.
CoRR
Rahul Yedida, Tim Menzies
2024 J jnl
Scoping Software Engineering for AI: The TSE Perspective.
IEEE Trans. Software Eng.
Sebastián Uchitel, Marsha Chechik, Massimiliano Di Penta, Bram Adams, Nazareno Aguirre, Gabriele Bavota, Domenico Bianculli, Kelly Blincoe, Ana Cavalcanti, Yvonne Dittrich, Filomena Ferrucci, Rashina Hoda, Liguo Huang, David Lo, Michael R. Lyu, Lei Ma, Jonathan I. Maletic, Leonardo Mariani, Collin McMillan, Tim Menzies, Martin Monperrus, Ana Moreno, Nachiappan Nagappan, Liliana Pasquale, Patrizio Pelliccione, Michael Pradel, Rahul Purandare, Sukyoung Ryu, Mehrdad Sabetzadeh, Alexander Serebrenik, Jun Sun, Chakkrit Kla Tantithamthavorn, Christoph Treude, Manuel Wimmer, Yingfei Xiong, Tao Yue, Andy Zaidman, Tao Zhang, Hao Zhong
2024 J jnl
Streamlining Software Reviews: Efficient Predictive Modeling with Minimal Examples.
CoRR
Tim Menzies, Andre Lustosa
2024 J jnl
The Power of Positionality - Why Accessibility? An Interview With Kevin Moran and Arun Krishnavajjala.
IEEE Softw.
Brittany Johnson, Tim Menzies
2024 J jnl
Trading Off Scalability, Privacy, and Performance in Data Synthesis.
IEEE Access
Xiao Ling, Tim Menzies, Christopher J. Hazard, Jack Shu, Jacob Beel
2024 J jnl
When less is more: on the value of "co-training" for semi-supervised software defect predictors.
Empir. Softw. Eng.
Suvodeep Majumder, Joymallya Chakraborty, Tim Menzies
2024 J jnl
iSNEAK: Partial Ordering as Heuristics for Model- Based Reasoning in Software Engineering.
IEEE Access
Andre Lustosa, Tim Menzies
2023 J jnl
"The Best Data Are Fake Data?": An Interview With Chris Hazard.
IEEE Softw.
Tim Menzies, Chris Hazard
2023 J jnl
(Re)Use of Research Results (Is Rampant).
Commun. ACM
Maria Teresa Baldassarre, Neil A. Ernst, Ben Hermann, Tim Menzies, Rahul Yedida
2023 J jnl
A Tale of Two Cities: Data and Configuration Variances in Robust Deep Learning.
IEEE Internet Comput.
Guanqin Zhang, Jiankun Sun, Feng Xu, Yulei Sui, H. M. N. Dilum Bandara, Shiping Chen, Tim Menzies
2023 J jnl
An expert system for redesigning software for cloud applications.
Expert Syst. Appl.
Rahul Yedida, Rahul Krishna, Anup K. Kalia, Tim Menzies, Jin Xiao, Maja Vukovic
2023 J jnl
Assessing the Early Bird Heuristic (for Predicting Project Quality).
ACM Trans. Softw. Eng. Methodol.
N. C. Shrikanth, Tim Menzies
2023 J jnl
Don't Lie to Me: Avoiding Malicious Explanations With STEALTH.
IEEE Softw.
Lauren Alvarez, Tim Menzies
2023 J jnl
Don't Lie to Me: Avoiding Malicious Explanations with STEALTH.
CoRR
Lauren Alvarez, Tim Menzies
2023 J jnl
Fair Enough: Searching for Sufficient Measures of Fairness.
ACM Trans. Softw. Eng. Methodol.
Suvodeep Majumder, Joymallya Chakraborty, Gina R. Bai, Kathryn T. Stolee, Tim Menzies
2023 J jnl
FairMask: Better Fairness via Model-Based Rebalancing of Protected Attributes.
IEEE Trans. Software Eng.
Kewen Peng, Joymallya Chakraborty, Tim Menzies
2023 J jnl
Finding Trends in Software Research.
IEEE Trans. Software Eng.
George Mathew, Amritanshu Agrawal, Tim Menzies
2023 J jnl
How to "Sell" Ethics (Using AI): An Interview With Alexander Serebrenik.
IEEE Softw.
Tim Menzies
2023 J jnl
How to Find Actionable Static Analysis Warnings: A Case Study With FindBugs.
IEEE Trans. Software Eng.
Rahul Yedida, Hong Jin Kang, Huy Tu, Xueqi Yang, David Lo, Tim Menzies
2023 J jnl
Less, but Stronger: On the Value of Strong Heuristics in Semi-supervised Learning for Software Analytics.
CoRR
Huy Tu, Tim Menzies
2023 — conf
Model Review: A PROMISEing Opportunity.
PROMISE
Tim Menzies
2023 J jnl
Model Review: A PROMISEing Opportunity.
CoRR
Tim Menzies
2023 J jnl
On the Benefits of Semi-Supervised Test Case Generation for Cyber-Physical Systems.
CoRR
Xiao Ling, Tim Menzies
2023 J jnl
Optimizing Predictions for Very Small Data Sets: a case study on Open-Source Project Health Prediction.
CoRR
Andre Lustosa, Tim Menzies
2023 J jnl
Partial Orderings as Heuristic for Multi-Objective Model-Based Reasoning.
CoRR
Andre Lustosa, Tim Menzies
2023 J jnl
SparseCoder: Advancing Source Code Analysis with Sparse Attention and Learned Token Pruning.
CoRR
Xueqi Yang, Mariusz Jakubowski, Kelly Kang, Haojie Yu, Tim Menzies
2023 J jnl
The Engineering Mindset Is an Ethical Mindset (We Just Don't Teach It That Way... Yet).
IEEE Softw.
Tim Menzies, Brittany Johnson, David L. Roberts, Lauren Alvarez
2023 J jnl
Trading Off Scalability, Privacy, and Performance in Data Synthesis.
CoRR
Xiao Ling, Tim Menzies, Christopher J. Hazard, Jack Shu, Jacob Beel
2023 J jnl
Unfairness Is Everywhere, so What to Do? An Interview With Jeanna Matthews.
IEEE Softw.
Brittany Johnson, Tim Menzies
2023 J jnl
VEER: enhancing the interpretability of model-based optimizations.
Empir. Softw. Eng.
Kewen Peng, Christian Kaltenecker, Norbert Siegmund, Sven Apel, Tim Menzies
2023 J jnl
What Not to Test (For Cyber-Physical Systems).
IEEE Trans. Software Eng.
Xiao Ling, Tim Menzies
2022 J jnl
A Tale of Two Cities: Data and Configuration Variances in Robust Deep Learning.
CoRR
Guanqin Zhang, Jiankun Sun, Feng Xu, H. M. N. Dilum Bandara, Shiping Chen, Yulei Sui, Tim Menzies
2022 J jnl
Artificial Intelligence and Software Engineering: Are We Ready?
Computer
Atif Mashkoor, Tim Menzies, Alexander Egyed, Rudolf Ramler
2022 J jnl
Assessing expert system-assisted literature reviews with a case study.
Expert Syst. Appl.
Zhe Yu, Jeffrey C. Carver, Gregg Rothermel, Tim Menzies
2022 J jnl
Better Data Labelling With EMBLEM (and how that Impacts Defect Prediction).
IEEE Trans. Software Eng.
Huy Tu, Zhe Yu, Tim Menzies
2022 A conf
Dazzle: Using Optimized Generative Adversarial Networks to Address Security Data Class Imbalance Issue.
MSR
Rui Shu, Tianpei Xia, Laurie A. Williams, Tim Menzies
2022 J jnl
Dazzle: Using Optimized Generative Adversarial Networks to Address Security Data Class Imbalance Issue.
CoRR
Rui Shu, Tianpei Xia, Laurie A. Williams, Tim Menzies
2022 J jnl
DebtFree: Minimizing Labeling Cost in Self-Admitted Technical Debt Identification using Semi-Supervised Learning.
CoRR
Huy Tu, Tim Menzies
2022 J jnl
DebtFree: minimizing labeling cost in self-admitted technical debt identification using semi-supervised learning.
Empir. Softw. Eng.
Huy Tu, Tim Menzies
2022 J jnl
Defect Reduction Planning (Using TimeLIME).
IEEE Trans. Software Eng.
Kewen Peng, Tim Menzies
2022 J jnl
Do I really need all this work to find vulnerabilities?
Empir. Softw. Eng.
Sarah Elder, Nusrat Zahan, Rui Shu, Monica Metro, Valeri Kozarev, Tim Menzies, Laurie A. Williams
2022 J jnl
Do I really need all this work to find vulnerabilities? An empirical case study comparing vulnerability detection techniques on a Java application.
CoRR
Sarah Elder, Nusrat Zahan, Rui Shu, Monica Metro, Valeri Kozarev, Tim Menzies, Laurie A. Williams
2022 J jnl
How Different is Test Case Prioritization for Open and Closed Source Projects?
IEEE Trans. Software Eng.
Xiao Ling, Rishabh Agrawal, Tim Menzies
2022 J jnl
How to Find Actionable Static Analysis Warnings.
CoRR
Rahul Yedida, Hong Jin Kang, Huy Tu, Xueqi Yang, David Lo, Tim Menzies
2022 A conf
How to Improve Deep Learning for Software Analytics (a case study with code smell detection).
MSR
Rahul Yedida, Tim Menzies
2022 J jnl
How to Improve Deep Learning for Software Analytics (a case study with code smell detection).
CoRR
Rahul Yedida, Tim Menzies
2022 J jnl
Identifying Self-Admitted Technical Debts With Jitterbug: A Two-Step Approach.
IEEE Trans. Software Eng.
Zhe Yu, Fahmid Morshed Fahid, Huy Tu, Tim Menzies
2022 A conf
Methods for Stabilizing Models Across Large Samples of Projects (with case studies on Predicting Defect and Project Health).
MSR
Suvodeep Majumder, Tianpei Xia, Rahul Krishna, Tim Menzies
2022 J jnl
Omni: automated ensemble with unexpected models against adversarial evasion attack.
Empir. Softw. Eng.
Rui Shu, Tianpei Xia, Laurie A. Williams, Tim Menzies
2022 J jnl
On the Value of Oversampling for Deep Learning in Software Defect Prediction.
IEEE Trans. Software Eng.
Rahul Yedida, Tim Menzies
2022 J jnl
Predicting health indicators for open source projects (using hyperparameter optimization).
Empir. Softw. Eng.
Tianpei Xia, Wei Fu, Rui Shu, Rishabh Agrawal, Tim Menzies
2022 J jnl
Reducing the Cost of Training Security Classifier (via Optimized Semi-Supervised Learning).
CoRR
Rui Shu, Tianpei Xia, Huy Tu, Laurie A. Williams, Tim Menzies
2022 J jnl
Revisiting process versus product metrics: a large scale analysis.
Empir. Softw. Eng.
Suvodeep Majumder, Pranav Mody, Tim Menzies
2022 J jnl
Sequential Model Optimization for Software Effort Estimation.
IEEE Trans. Software Eng.
Tianpei Xia, Rui Shu, Xipeng Shen, Tim Menzies
2022 J jnl
Simpler Hyperparameter Optimization for Software Analytics: Why, How, When?
IEEE Trans. Software Eng.
Amritanshu Agrawal, Xueqi Yang, Rishabh Agrawal, Rahul Yedida, Xipeng Shen, Tim Menzies
2022 J jnl
The Secret to Better AI and Better Software (Is Requirements Engineering).
IEEE Softw.
Nelly Bencomo, Jin L. C. Guo, Rachel Harrison, Hans-Martin Heyn, Tim Menzies
2022 J jnl
When Less is More: On the Value of "Co-training" for Semi-Supervised Software Defect Predictors.
CoRR
Suvodeep Majumder, Joymallya Chakraborty, Tim Menzies
2021 J jnl
Assessing practitioner beliefs about software engineering.
Empir. Softw. Eng.
N. C. Shrikanth, William Nichols, Fahmid Morshed Fahid, Tim Menzies
2021 J jnl
Bias in Machine Learning Software: Why? How? What to do?
CoRR
Joymallya Chakraborty, Suvodeep Majumder, Tim Menzies
2021 — conf
Bias in machine learning software: why? how? what to do?
ESEC/SIGSOFT FSE
Joymallya Chakraborty, Suvodeep Majumder, Tim Menzies
2021 J jnl
Can We Achieve Fairness Using Semi-Supervised Learning?
CoRR
Joymallya Chakraborty, Huy Tu, Suvodeep Majumder, Tim Menzies
2021 J jnl
Characterizing Crowds to Better Optimize Worker Recommendation in Crowdsourced Testing.
IEEE Trans. Software Eng.
Junjie Wang, Song Wang, Jianfeng Chen, Tim Menzies, Qiang Cui, Miao Xie, Qing Wang
2021 J jnl
Crowdsourcing the State of the Art(ifacts).
CoRR
Maria Teresa Baldassarre, Neil A. Ernst, Ben Hermann, Tim Menzies, Rahul Yedida
2021 — conf
Documenting evidence of a replication of 'analyze this! 145 questions for data scientists in software engineering'.
ESEC/SIGSOFT FSE
Xueqi Yang, Tim Menzies
2021 — conf
Documenting evidence of a replication of 'populating a release history database from version control and bug tracking systems'.
ESEC/SIGSOFT FSE
Xueqi Yang, Tim Menzies
2021 — conf
Documenting evidence of a reproduction of 'is there a "golden" feature set for static warning identification? - an experimental evaluation'.
ESEC/SIGSOFT FSE
Xueqi Yang, Tim Menzies
2021 — conf
Documenting evidence of a reuse of '"why should I trust you?": explaining the predictions of any classifier'.
ESEC/SIGSOFT FSE
Kewen Peng, Tim Menzies
2021 — conf
Documenting evidence of a reuse of 'RefactoringMiner 2.0'.
ESEC/SIGSOFT FSE
Andre Lustosa, Tim Menzies
2021 — conf
Documenting evidence of a reuse of 'a systematic literature review of techniques and metrics to reduce the cost of mutation testing'.
ESEC/SIGSOFT FSE
Andre Lustosa, Tim Menzies
2021 — conf
Documenting evidence of a reuse of 'a systematic study of the class imbalance problem in convolutional neural networks'.
ESEC/SIGSOFT FSE
Rahul Yedida, Tim Menzies
2021 — conf
Documenting evidence of a reuse of 'on the number of linear regions of deep neural networks'.
ESEC/SIGSOFT FSE
Rahul Yedida, Tim Menzies
2021 — conf
Documenting evidence of a reuse of 'what is a feature? a qualitative study of features in industrial software product lines'.
ESEC/SIGSOFT FSE
Kewen Peng, Tim Menzies
2021 A* conf
Early Life Cycle Software Defect Prediction. Why? How?
ICSE
N. C. Shrikanth, Suvodeep Majumder, Tim Menzies
2021 J jnl
FRUGAL: Unlocking SSL for Software Analytics.
CoRR
Huy Tu, Tim Menzies
2021 A* conf
FRUGAL: Unlocking Semi-Supervised Learning for Software Analytics.
ASE
Huy Tu, Tim Menzies
2021 J jnl
Fair Enough: Searching for Sufficient Measures of Fairness.
CoRR
Suvodeep Majumder, Joymallya Chakraborty, Gina R. Bai, Kathryn T. Stolee, Tim Menzies
2021 — conf
Fairer Software Made Easier (using "Keys").
ASE Workshops
Tim Menzies, Kewen Peng, Andre Lustosa
2021 J jnl
Fairer Software Made Easier (using "Keys").
CoRR
Tim Menzies, Kewen Peng, Andre Lustosa
2021 J jnl
Faster Multi-Goal Simulation-Based Testing Using DoLesS (Domination with Least Square Approximation).
CoRR
Xiao Ling, Tim Menzies
2021 J jnl
Faster SAT Solving for Software with Repeated Structures (with Case Studies on Software Test Suite Minimization).
CoRR
Jianfeng Chen, Xipeng Shen, Tim Menzies
2021 J jnl
How to "DODGE" Complex Software Analytics.
IEEE Trans. Software Eng.
Amritanshu Agrawal, Wei Fu, Di Chen, Xipeng Shen, Tim Menzies
2021 J jnl
How to Better Distinguish Security Bug Reports (Using Dual Hyperparameter Optimization).
Empir. Softw. Eng.
Rui Shu, Tianpei Xia, Jianfeng Chen, Laurie A. Williams, Tim Menzies
2021 J jnl
Improving Vulnerability Inspection Efficiency Using Active Learning.
IEEE Trans. Software Eng.
Zhe Yu, Christopher Theisen, Laurie A. Williams, Tim Menzies
2021 J jnl
Learning to recognize actionable static code warnings (is intrinsically easy).
Empir. Softw. Eng.
Xueqi Yang, Jianfeng Chen, Rahul Yedida, Zhe Yu, Tim Menzies
2021 A* conf
Lessons learned from hyper-parameter tuning for microservice candidate identification.
ASE
Rahul Yedida, Rahul Krishna, Anup K. Kalia, Tim Menzies, Jin Xiao, Maja Vukovic
2021 J jnl
Lessons learned from hyper-parameter tuning for microservice candidate identification.
CoRR
Rahul Yedida, Rahul Krishna, Anup K. Kalia, Tim Menzies, Jin Xiao, Maja Vukovic
2021 J jnl
Mining Scientific Workflows for Anomalous Data Transfers.
CoRR
Huy Tu, George Papadimitriou, Mariam Kiran, Cong Wang, Anirban Mandal, Ewa Deelman, Tim Menzies
2021 A conf
Mining Workflows for Anomalous Data Transfers.
MSR
Huy Tu, George Papadimitriou, Mariam Kiran, Cong Wang, Anirban Mandal, Ewa Deelman, Tim Menzies
2021 J jnl
Partitioning Cloud-based Microservices (via Deep Learning).
CoRR
Rahul Yedida, Rahul Krishna, Anup K. Kalia, Tim Menzies, Jin Xiao, Maja Vukovic
2021 J jnl
PyTorrent: A Python Library Corpus for Large-scale Language Models.
CoRR
Mehdi Bahrami, N. C. Shrikanth, Shade Ruangwan, Lei Liu, Yuji Mizobuchi, Masahiro Fukuyori, Wei-Peng Chen, Kazuki Munakata, Tim Menzies
2021 J jnl
Shockingly Simple: "KEYS" for Better AI for SE.
IEEE Softw.
Tim Menzies
2021 — conf
Structuring a Comprehensive Software Security Course Around the OWASP Application Security Verification Standard.
ICSE (SEET)
Sarah Elder, Nusrat Zahan, Valeri Kozarev, Rui Shu, Tim Menzies, Laurie A. Williams
2021 J jnl
Structuring a Comprehensive Software Security Course Around the OWASP Application Security Verification Standard.
CoRR
Sarah Elder, Nusrat Zahan, Val Kozarev, Rui Shu, Tim Menzies, Laurie A. Williams
2021 J jnl
The Early Bird Catches the Worm: Better Early Life Cycle Defect Predictors.
CoRR
N. C. Shrikanth, Tim Menzies
2021 J jnl
Understanding static code warnings: An incremental AI approach.
Expert Syst. Appl.
Xueqi Yang, Zhe Yu, Junjie Wang, Tim Menzies
2021 J jnl
VEER: Disagreement-Free Multi-objective Configuration.
CoRR
Kewen Peng, Christian Kaltenecker, Norbert Siegmund, Sven Apel, Tim Menzies
2021 J jnl
When SIMPLE is better than complex: A case study on deep learning for predicting Bugzilla issue close time.
CoRR
Rahul Yedida, Xueqi Yang, Tim Menzies
2021 J jnl
Whence to Learn? Transferring Knowledge in Configurable Systems Using BEETLE.
IEEE Trans. Software Eng.
Rahul Krishna, Vivek Nair, Pooyan Jamshidi, Tim Menzies
2021 J jnl
xFAIR: Better Fairness via Model-based Rebalancing of Protected Attributes.
CoRR
Kewen Peng, Joymallya Chakraborty, Tim Menzies
2020 J jnl
Assessing Practitioner Beliefs about Software Engineering.
CoRR
N. C. Shrikanth, William Nichols, Fahmid Morshed Fahid, Tim Menzies
2020 — conf
Assessing practitioner beliefs about software defect prediction.
ICSE (SEIP)
N. C. Shrikanth, Tim Menzies
2020 J jnl
Better software analytics via "DUO": Data mining algorithms using/used-by optimizers.
Empir. Softw. Eng.
Amritanshu Agrawal, Tim Menzies, Leandro L. Minku, Markus Wagner, Zhe Yu
2020 J jnl
Defect Reduction Planning (using TimeLIME).
CoRR
Kewen Peng, Tim Menzies
2020 J jnl
Early Life Cycle Software Defect Prediction. Why? How?
CoRR
N. C. Shrikanth, Suvodeep Majumder, Tim Menzies
2020 J jnl
Expert Perspectives on AI.
IEEE Softw.
Anita D. Carleton, Erin Harper, Michael R. Lyu, Sigrid Eldh, Tao Xie, Tim Menzies
2020 J jnl
Fairway: SE Principles for Building Fairer Software.
CoRR
Joymallya Chakraborty, Suvodeep Majumder, Zhe Wu, Tim Menzies
2020 — conf
Fairway: a way to build fair ML software.
ESEC/SIGSOFT FSE
Joymallya Chakraborty, Suvodeep Majumder, Zhe Yu, Tim Menzies
2020 J jnl
Finding Faster Configurations Using FLASH.
IEEE Trans. Software Eng.
Vivek Nair, Zhe Yu, Tim Menzies, Norbert Siegmund, Sven Apel
2020 J jnl
How Different is Test Case Prioritization for Open and Closed Source Projects?
CoRR
Xiao Ling, Rishabh Agrawal, Tim Menzies
2020 J jnl
How to Improve AI Tools (by Adding in SE Knowledge): Experiments with the TimeLIME Defect Reduction Tool.
CoRR
Kewen Peng, Tim Menzies
2020 J jnl
How to Recognize Actionable Static Code Warnings (Using Linear SVMs).
CoRR
Xueqi Yang, Jianfeng Chen, Rahul Yedida, Zhe Yu, Tim Menzies
2020 J jnl
Identifying Self-Admitted Technical Debts with Jitterbug: A Two-step Approach.
CoRR
Zhe Yu, Fahmid Morshed Fahid, Huy Tu, Tim Menzies
2020 J jnl
Improving Deep Learning for Defect Prediction (using the GHOST Hyperparameter Optimizer).
CoRR
Rahul Yedida, Tim Menzies
2020 J jnl
Learning actionable analytics from multiple software projects.
Empir. Softw. Eng.
Rahul Krishna, Tim Menzies
2020 A* conf
Making Fair ML Software using Trustworthy Explanation.
ASE
Joymallya Chakraborty, Kewen Peng, Tim Menzies
2020 J jnl
Making Fair ML Software using Trustworthy Explanation.
CoRR
Joymallya Chakraborty, Kewen Peng, Tim Menzies
2020 J jnl
Omni: Automated Ensemble with Unexpected Models against Adversarial Evasion Attack.
CoRR
Rui Shu, Tianpei Xia, Laurie A. Williams, Tim Menzies
2020 — ed.
PROMISE '20: 16th International Conference on Predictive Models and Data Analytics in Software Engineering, Virtual Event, USA, November 8-9, 2020
PROMISE
Leandro L. Minku, Tim Menzies, Meiyappan Nagappan
2020 J jnl
Predicting Project Health for Open Source Projects (using the DECART Hyperparameter Optimizer).
CoRR
Tianpei Xia, Wei Fu, Rui Shu, Tim Menzies
2020 J jnl
Revisiting Process versus Product Metrics: a Large Scale Analysis.
CoRR
Suvodeep Majumder, Pranav Mody, Tim Menzies
2020 J jnl
The AI Effect: Working at the Intersection of AI and SE.
IEEE Softw.
Anita D. Carleton, Erin Harper, Tim Menzies, Tao Xie, Sigrid Eldh, Michael R. Lyu
2020 J jnl
The Changing Nature of Computational Science Software.
CoRR
Huy Tu, Rishabh Agrawal, Tim Menzies
2020 J jnl
The Five Laws of SE for AI.
IEEE Softw.
Tim Menzies
2020 — conf
What disconnects practitioner belief and empirical evidence?
ICSE (Companion Volume)
N. C. Shrikanth, Tim Menzies
2020 J jnl
iSENSE2.0: Improving Completion-aware Crowdtesting Management with Duplicate Tagger and Sanity Checker.
ACM Trans. Softw. Eng. Methodol.
Junjie Wang, Ye Yang, Tim Menzies, Qing Wang
2019 J jnl
"Bad smells" in software analytics papers.
Inf. Softw. Technol.
Tim Menzies, Martin J. Shepperd
2019 J jnl
"Sampling" as a Baseline Optimizer for Search-Based Software Engineering.
IEEE Trans. Software Eng.
Jianfeng Chen, Vivek Nair, Rahul Krishna, Tim Menzies
2019 J jnl
A Deep Learning Model for Estimating Story Points.
IEEE Trans. Software Eng.
Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Aditya Ghose, Tim Menzies
2019 J jnl
An Expert System for Learning Software Engineering Knowledge (with Case Studies in Understanding Static Code Warning).
CoRR
Xueqi Yang, Zhe Yu, Junjie Wang, Tim Menzies
2019 J jnl
Assessing Developer Beliefs: A Reply to "Perceptions, Expectations, and Challenges in Defect Prediction".
CoRR
N. C. Shrikanth, Tim Menzies
2019 J jnl
Assessing Practitioner Beliefs.
CoRR
N. C. Shrikanth, Tim Menzies
2019 J jnl
Bellwethers: A Baseline Method for Transfer Learning.
IEEE Trans. Software Eng.
Rahul Krishna, Tim Menzies
2019 J jnl
Better Security Bug Report Classification via Hyperparameter Optimization.
CoRR
Rui Shu, Tianpei Xia, Laurie A. Williams, Tim Menzies
2019 J jnl
Better Technical Debt Detection via SURVEYing.
CoRR
Fahmid M. Fahid, Zhe Yu, Tim Menzies
2019 J jnl
Enhanced Labeling of Issue Reports (with F
CoRR
Huy Tu, Tim Menzies
2019 J jnl
FAST
Expert Syst. Appl.
Zhe Yu, Tim Menzies
2019 J jnl
Faster Creation of Smaller Test Suites (with SNAP).
CoRR
Jianfeng Chen, Tim Menzies
2019 J jnl
How to "DODGE" Complex Software Analytics?
CoRR
Amritanshu Agrawal, Wei Fu, Di Chen, Xipeng Shen, Tim Menzies
2019 J jnl
Images don't lie: Duplicate crowdtesting reports detection with screenshot information.
Inf. Softw. Technol.
Junjie Wang, Mingyang Li, Song Wang, Tim Menzies, Qing Wang
2019 J jnl
Improved Recognition of Security Bugs via Dual Hyperparameter Optimization.
CoRR
Rui Shu, Tianpei Xia, Jianfeng Chen, Laurie A. Williams, Tim Menzies
2019 J jnl
Is AI different for SE?
CoRR
Amritanshu Agrawal, Tim Menzies
2019 J jnl
Learning GENERAL Principles from Hundreds of Software Projects.
CoRR
Suvodeep Majumder, Rahul Krishna, Tim Menzies
2019 J jnl
Predicting Breakdowns in Cloud Services (with SPIKE).
CoRR
Jianfeng Chen, Joymallya Chakraborty, Philip Clark, Kevin Haverlock, Snehit Cherian, Tim Menzies
2019 — conf
Predicting breakdowns in cloud services (with SPIKE).
ESEC/SIGSOFT FSE
Jianfeng Chen, Joymallya Chakraborty, Philip Clark, Kevin Haverlock, Snehit Cherian, Tim Menzies
2019 — ed.
Proceedings of the 7th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering, RAISE@ICSE 2019, Montreal, QC, Canada, May 28, 2019
RAISE@ICSE
Tim Menzies, Burak Turhan
2019 J jnl
Replication Can Improve Prior Results: A GitHub Study of Pull Request Acceptance.
CoRR
Di Chen, Kathryn T. Stolee, Tim Menzies
2019 A conf
Replication can improve prior results: a GitHub study of pull request acceptance.
ICPC
Di Chen, Kathryn T. Stolee, Tim Menzies
2019 J jnl
Searching for Better Test Case Prioritization Schemes: a Case Study of AI-assisted Systematic Literature Review.
CoRR
Zhe Yu, Jeffrey C. Carver, Gregg Rothermel, Tim Menzies
2019 J jnl
Sequential Model Optimization for Software Process Control.
CoRR
Tianpei Xia, Jianfeng Chen, Rui Shu, Tim Menzies
2019 J jnl
Software Engineering for Fairness: A Case Study with Hyperparameter Optimization.
CoRR
Joymallya Chakraborty, Tianpei Xia, Fahmid M. Fahid, Tim Menzies
2019 J jnl
TERMINATOR: Better Automated UI Test Case Prioritization.
CoRR
Zhe Yu, Fahmid M. Fahid, Tim Menzies, Gregg Rothermel, Kyle Patrick, Snehit Cherian
2019 — conf
TERMINATOR: better automated UI test case prioritization.
ESEC/SIGSOFT FSE
Zhe Yu, Fahmid M. Fahid, Tim Menzies, Gregg Rothermel, Kyle Patrick, Snehit Cherian
2019 — conf
Take control: on the unreasonable effectiveness of software analytics.
ICSE (SEIP)
Tim Menzies
2019 J jnl
Whence to Learn? Transferring Knowledge in Configurable Systems using BEETLE.
CoRR
Rahul Krishna, Vivek Nair, Pooyan Jamshidi, Tim Menzies
2019 J jnl
Why Software Projects need Heroes (Lessons Learned from 1100+ Projects).
CoRR
Suvodeep Majumder, Joymallya Chakraborty, Amritanshu Agrawal, Tim Menzies
2019 A* conf
iSENSE: completion-aware crowdtesting management.
ICSE
Junjie Wang, Ye Yang, Rahul Krishna, Tim Menzies, Qing Wang
2018 J jnl
500+ Times Faster Than Deep Learning (A Case Study Exploring Faster Methods for Text Mining StackOverflow).
CoRR
Suvodeep Majumder, Nikhila Balaji, Katie Brey, Wei Fu, Tim Menzies
2018 A conf
500+ times faster than deep learning: a case study exploring faster methods for text mining stackoverflow.
MSR
Suvodeep Majumder, Nikhila Balaji, Katie Brey, Wei Fu, Tim Menzies
2018 J jnl
Actionable Analytics for Software Engineering.
IEEE Softw.
Ye Yang, Davide Falessi, Tim Menzies, Jairus Hihn
2018 J jnl
Applications of Psychological Science for Actionable Analytics.
CoRR
Di Chen, Wei Fu, Rahul Krishna, Tim Menzies
2018 — conf
Applications of psychological science for actionable analytics.
ESEC/SIGSOFT FSE
Di Chen, Wei Fu, Rahul Krishna, Tim Menzies
2018 A conf
Arrow: Low-Level Augmented Bayesian Optimization for Finding the Best Cloud VM.
ICDCS
Chin-Jung Hsu, Vivek Nair, Vincent W. Freeh, Tim Menzies
2018 J jnl
Bad Smells in Software Analytics Papers.
CoRR
Rahul Krishna, Suvodeep Majumder, Tim Menzies, Martin J. Shepperd
2018 J jnl
Better Metrics for Ranking SE Researchers.
CoRR
George Mathew, Tim Menzies
2018 J jnl
Better Software Analytics via "DUO": Data Mining Algorithms Using/Used-by Optimizers.
CoRR
Amritanshu Agrawal, Tim Menzies, Leandro L. Minku, Markus Wagner, Zhe Yu
2018 J jnl
Beyond evolutionary algorithms for search-based software engineering.
Inf. Softw. Technol.
Jianfeng Chen, Vivek Nair, Tim Menzies
2018 J jnl
Building Better Quality Predictors Using "ε-Dominance".
CoRR
Wei Fu, Tim Menzies, Di Chen, Amritanshu Agrawal
2018 J jnl
Can You Explain That, Better? Comprehensible Text Analytics for SE Applications.
CoRR
Amritanshu Agrawal, Huy Tu, Tim Menzies
2018 J jnl
Cost-aware Vulnerability Prediction: the HARMLESS Approach.
CoRR
Zhe Yu, Christopher Theisen, Hyunwoo Sohn, Laurie A. Williams, Tim Menzies
2018 J jnl
Crowdtesting : When is The Party Over?
CoRR
Junjie Wang, Ye Yang, Zhe Yu, Tim Menzies, Qing Wang
2018 J jnl
Cutting Away the Confusion From Crowdtesting.
CoRR
Junjie Wang, Mingyang Li, Song Wang, Tim Menzies, Qing Wang
2018 J jnl
Data-Driven Search-based Software Engineering.
CoRR
Vivek Nair, Amritanshu Agrawal, Jianfeng Chen, Wei Fu, George Mathew, Tim Menzies, Leandro L. Minku, Markus Wagner, Zhe Yu
2018 A conf
Data-driven search-based software engineering.
MSR
Vivek Nair, Amritanshu Agrawal, Jianfeng Chen, Wei Fu, George Mathew, Tim Menzies, Leandro L. Minku, Markus Wagner, Zhe Yu
2018 J jnl
Effective Automated Decision Support for Managing Crowdtesting.
CoRR
Junjie Wang, Ye Yang, Rahul Krishna, Tim Menzies, Qing Wang
2018 J jnl
Faster discovery of faster system configurations with spectral learning.
Autom. Softw. Eng.
Vivek Nair, Tim Menzies, Norbert Siegmund, Sven Apel
2018 J jnl
Finding Faster Configurations using FLASH.
CoRR
Vivek Nair, Zhe Yu, Tim Menzies, Norbert Siegmund, Sven Apel
2018 J jnl
Finding better active learners for faster literature reviews.
Empir. Softw. Eng.
Zhe Yu, Nicholas A. Kraft, Tim Menzies
2018 J jnl
From Voice of Evidence to Redirections.
IEEE Softw.
Rafael Prikladnicki, Tim Menzies
2018 J jnl
Guest Editorial for the Special Section from the 9th International Symposium on Search Based Software Engineering.
Inf. Softw. Technol.
Justyna Petke, Tim Menzies
2018 J jnl
Heterogeneous Defect Prediction.
IEEE Trans. Software Eng.
Jaechang Nam, Wei Fu, Sunghun Kim, Tim Menzies, Lin Tan
2018 J jnl
Hyperparameter Optimization for Effort Estimation.
CoRR
Tianpei Xia, Rahul Krishna, Jianfeng Chen, George Mathew, Xipeng Shen, Tim Menzies
2018 — conf
Introduction to the Minitrack on Frontiers in AI and Software Engineering.
HICSS
Tim Menzies
2018 A* conf
Is "better data" better than "better data miners"?: on the benefits of tuning SMOTE for defect prediction.
ICSE
Amritanshu Agrawal, Tim Menzies
2018 — conf
Micky: A Cheaper Alternative for Selecting Cloud Instances.
IEEE CLOUD
Chin-Jung Hsu, Vivek Nair, Tim Menzies, Vincent W. Freeh
2018 J jnl
Micky: A Cheaper Alternative for Selecting Cloud Instances.
CoRR
Chin-Jung Hsu, Vivek Nair, Tim Menzies, Vincent W. Freeh
2018 — ed.
Proceedings of the 4th ACM SIGSOFT International Workshop on Software Analytics, SWAN@ESEC/SIGSOFT FSE 2018, Lake Buena Vista, FL, USA, November 5, 2018
SWAN@ESEC/SIGSOFT FSE
Olga Baysal, Tim Menzies
2018 — conf
RIOT: A Stochastic-Based Method for Workflow Scheduling in the Cloud.
IEEE CLOUD
Jianfeng Chen, Tim Menzies
2018 J jnl
Scout: An Experienced Guide to Find the Best Cloud Configuration.
CoRR
Chin-Jung Hsu, Vivek Nair, Tim Menzies, Vincent W. Freeh
2018 J jnl
Software Analytics: What's Next?
IEEE Softw.
Tim Menzies, Thomas Zimmermann
2018 J jnl
Software Engineering's Top Topics, Trends, and Researchers.
IEEE Softw.
George Mathew, Tim Menzies
2018 J jnl
The Unreasonable Effectiveness of Software Analytics.
IEEE Softw.
Tim Menzies
2018 J jnl
Total Recall, Language Processing, and Software Engineering.
CoRR
Zhe Yu, Tim Menzies
2018 — conf
Total recall, language processing, and software engineering.
NL4SE@ESEC/SIGSOFT FSE
Zhe Yu, Tim Menzies
2018 J jnl
Transfer Learning with Bellwethers to find Good Configurations.
CoRR
Vivek Nair, Rahul Krishna, Tim Menzies, Pooyan Jamshidi
2018 — conf
We don't need another hero?: the impact of "heroes" on software development.
ICSE (SEIP)
Amritanshu Agrawal, Akond Rahman, Rahul Krishna, Alexander Sobran, Tim Menzies
2018 — conf
What is the connection between issues, bugs, and enhancements?: lessons learned from 800+ software projects.
ICSE (SEIP)
Rahul Krishna, Amritanshu Agrawal, Akond Rahman, Alexander Sobran, Tim Menzies
2018 J jnl
What is wrong with topic modeling? And how to fix it using search-based software engineering.
Inf. Softw. Technol.
Amritanshu Agrawal, Wei Fu, Tim Menzies
2018 J jnl
Why Software Effort Estimation Needs SBSE.
CoRR
Tianpei Xia, Jianfeng Chen, George Mathew, Xipeng Shen, Tim Menzies
2017 J jnl
"Better Data" is Better than "Better Data Miners" (Benefits of Tuning SMOTE for Defect Prediction).
CoRR
Amritanshu Agrawal, Tim Menzies
2017 A conf
"SHORT"er Reasoning About Larger Requirements Models.
RE
George Mathew, Tim Menzies, Neil A. Ernst, John Klein
2017 J jnl
A guest editorial: special issue on search based software engineering and data mining.
Autom. Softw. Eng.
Marouane Kessentini, Tim Menzies
2017 J jnl
Are delayed issues harder to resolve? Revisiting cost-to-fix of defects throughout the lifecycle.
Empir. Softw. Eng.
Tim Menzies, William Nichols, Forrest Shull, Lucas Layman
2017 J jnl
Better Predictors for Issue Lifetime.
CoRR
Mitch Rees-Jones, Matthew Martin, Tim Menzies
2017 J jnl
Beyond Evolutionary Algorithms for Search-based Software Engineering.
CoRR
Jianfeng Chen, Vivek Nair, Tim Menzies
2017 J jnl
Continuous Integration: The Silver Bullet?
CoRR
Akond Rahman, Amritanshu Agrawal, Rahul Krishna, Alexander Sobran, Tim Menzies
2017 — conf
Data Balancing for Technologically Assisted Reviews: Undersampling or Reweighting.
CLEF (Working Notes)
Zhe Yu, Tim Menzies
2017 J jnl
Easy over Hard: A Case Study on Deep Learning.
CoRR
Wei Fu, Tim Menzies
2017 — conf
Easy over hard: a case study on deep learning.
ESEC/SIGSOFT FSE
Wei Fu, Tim Menzies
2017 J jnl
FLASH: A Faster Optimizer for SBSE Tasks.
CoRR
Vivek Nair, Zhe Yu, Tim Menzies
2017 J jnl
Faster Discovery of Faster System Configurations with Spectral Learning.
CoRR
Vivek Nair, Tim Menzies, Norbert Siegmund, Sven Apel
2017 J jnl
Learning Effective Changes For Software Projects.
CoRR
Rahul Krishna, Tim Menzies
2017 J jnl
Less is more: Minimizing code reorganization using XTREE.
Inf. Softw. Technol.
Rahul Krishna, Tim Menzies, Lucas Layman
2017 J jnl
Low-Level Augmented Bayesian Optimization for Finding the Best Cloud VM.
CoRR
Chin-Jung Hsu, Vivek Nair, Vincent W. Freeh, Tim Menzies
2017 J jnl
Negative results for software effort estimation.
Empir. Softw. Eng.
Tim Menzies, Ye Yang, George Mathew, Barry W. Boehm, Jairus Hihn
2017 — ed.
Proceedings of the 3rd ACM SIGSOFT International Workshop on Software Analytics, SWAN@ESEC/SIGSOFT FSE 2017, Paderborn, Germany, September 4, 2017
SWAN@ESEC/SIGSOFT FSE
Olga Baysal, Tim Menzies
2017 J jnl
RIOT: a Novel Stochastic Method for Rapidly Configuring Cloud-Based Workflows.
CoRR
Jianfeng Chen, Tim Menzies
2017 J jnl
Replicating and Scaling up Qualitative Analysis using Crowdsourcing: A Github-based Case Study.
CoRR
Di Chen, Kathryn T. Stolee, Tim Menzies
2017 J jnl
Revisiting Unsupervised Learning for Defect Prediction.
CoRR
Wei Fu, Tim Menzies
2017 — conf
Revisiting unsupervised learning for defect prediction.
ESEC/SIGSOFT FSE
Wei Fu, Tim Menzies
2017 B ed.
Search Based Software Engineering - 9th International Symposium, SSBSE 2017, Paderborn, Germany, September 9-11, 2017, Proceedings
SSBSE
Tim Menzies, Justyna Petke
2017 J jnl
Shorter Reasoning About Larger Requirements Models.
CoRR
George Mathew, Tim Menzies, Neil A. Ernst, John Klein
2017 J jnl
Simpler Transfer Learning (Using "Bellwethers").
CoRR
Rahul Krishna, Tim Menzies
2017 J jnl
TMAP: Discovering relevant API methods through text mining of API documentation.
J. Softw. Evol. Process.
Rahul Pandita, Raoul Jetley, Sithu D. Sudarsan, Tim Menzies, Laurie A. Williams
2017 J jnl
Testing Reading Tactics for Automated Reading Assistance: Is it Useful to Apply Old Knowledge?
CoRR
Zhe Yu, Tim Menzies
2017 — conf
Trends in topics at SE conferences (1993-2013).
ICSE (Companion Volume)
George Mathew, Amritanshu Agrawal, Tim Menzies
2017 J jnl
Using Bad Learners to find Good Configurations.
CoRR
Vivek Nair, Tim Menzies, Norbert Siegmund, Sven Apel
2017 — conf
Using Stakeholder Preferences to Make Better Architecture Decisions.
ICSA Workshops
Neil A. Ernst, John Klein, George Mathew, Tim Menzies
2017 — conf
Using bad learners to find good configurations.
ESEC/SIGSOFT FSE
Vivek Nair, Tim Menzies, Norbert Siegmund, Sven Apel
2017 J jnl
We Don't Need Another Hero? The Impact of "Heroes" on Software Development.
CoRR
Amritanshu Agrawal, Akond Rahman, Rahul Krishna, Alexander Sobran, Tim Menzies
2017 J jnl
What is the Connection Between Issues, Bugs, and Enhancements? (Lessons Learned from 800+ Software Projects).
CoRR
Rahul Krishna, Amritanshu Agrawal, Akond Rahman, Alexander Sobran, Tim Menzies
2016 J jnl
A deep learning model for estimating story points.
CoRR
Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Aditya Ghose, Tim Menzies
2016 B conf
An (Accidental) Exploration of Alternatives to Evolutionary Algorithms for SBSE.
SSBSE
Vivek Nair, Tim Menzies, Jianfeng Chen
2016 J jnl
Are Delayed Issues Harder to Resolve? Revisiting Cost-to-Fix of Defects throughout the Lifecycle.
CoRR
Tim Menzies, William Nichols, Forrest Shull, Lucas Layman
2016 — ch.
Correlation is not causation (or, when not to scream "Eureka!").
Perspectives on Data Science for Software Engineering
Tim Menzies
2016 — conf
How not to do it: anti-patterns for data science in software engineering.
ICSE (Companion Volume)
Tim Menzies
2016 J jnl
How to Read Less: Better Machine Assisted Reading Methods for Systematic Literature Reviews.
CoRR
Zhe Yu, Nicholas A. Kraft, Tim Menzies
2016 J jnl
Impacts of Bad ESP (Early Size Predictions) on Software Effort Estimation.
CoRR
George Mathew, Tim Menzies, Jairus Hihn
2016 J jnl
Is "Sampling" better than "Evolution" for Search-based Software Engineering?
CoRR
Jianfeng Chen, Vivek Nair, Rahul Krishna, Tim Menzies
2016 J jnl
Learning Mitigations for Pilot Issues When Landing Aircraft (via Multiobjective Optimization and Multiagent Simulations).
IEEE Trans. Hum. Mach. Syst.
Joseph Krall, Tim Menzies, Misty D. Davies
2016 J jnl
Negative Results for Software Effort Estimation.
CoRR
Tim Menzies, Ye Yang, George Mathew, Barry W. Boehm, Jairus Hihn
2016 — book
Perspectives on Data Science for Software Engineering
Perspectives on Data Science for Software Engineering
Tim Menzies, Laurie A. Williams, Thomas Zimmermann
2016 J jnl
Recommendations for Intelligent Code Reorganization.
CoRR
Rahul Krishna, Tim Menzies, Lucas Layman
2016 — ch.
Seven principles of inductive software engineering.
Perspectives on Data Science for Software Engineering
Tim Menzies
2016 A* conf
Too much automation? the bellwether effect and its implications for transfer learning.
ASE
Rahul Krishna, Tim Menzies, Wei Fu
2016 A conf
Topic modeling of NASA space system problem reports: research in practice.
MSR
Lucas Layman, Allen P. Nikora, Joshua Meek, Tim Menzies
2016 J jnl
Trends in Topics at SE Conferences (1993-2013).
CoRR
George Mathew, Amritanshu Agrawal, Tim Menzies
2016 J jnl
Tuning for Software Analytics: is it Really Necessary?
CoRR
Wei Fu, Tim Menzies, Xipeng Shen
2016 J jnl
Tuning for software analytics: Is it really necessary?
Inf. Softw. Technol.
Wei Fu, Tim Menzies, Xipeng Shen
2016 J jnl
What is Wrong with Topic Modeling? (and How to Fix it Using Search-based SE).
CoRR
Amritanshu Agrawal, Wei Fu, Tim Menzies
2016 J jnl
Why is Differential Evolution Better than Grid Search for Tuning Defect Predictors?
CoRR
Wei Fu, Vivek Nair, Tim Menzies
2015 — ed.
1st IEEE/ACM International Workshop on Big Data Software Engineering, BIGDSE 2015, Florence, Italy, May 23, 2015
BIGDSE@ICSE 2015
Luciano Baresi, Tim Menzies, Andreas Metzger, Thomas Zimmermann
2015 — conf
1st International Workshop on Big Data Software Engineering (BIGDSE 2015).
ICSE (2)
Luciano Baresi, Tim Menzies, Andreas Metzger, Thomas Zimmermann
2015 — conf
Actionable = Cluster + Contrast?
ASE Workshops
Rahul Krishna, Tim Menzies
2015 J jnl
Cross-Project Data for Software Engineering.
Computer
Tim Menzies
2015 — conf
Data Mining Methods and Cost Estimation Models: Why is it So Hard to Infuse New Ideas?
ASE Workshops
Jairus Hihn, Tim Menzies
2015 J jnl
GALE: Geometric Active Learning for Search-Based Software Engineering.
IEEE Trans. Software Eng.
Joseph Krall, Tim Menzies, Misty D. Davies
2015 J jnl
Guest editorial: special issue on realizing AI synergies in software engineering (part 2).
Autom. Softw. Eng.
Rachel Harrison, Tim Menzies
2015 J jnl
Guest editorial: special issue on realizing AI synergies in software engineering.
Autom. Softw. Eng.
Rachel Harrison, Tim Menzies
2015 J jnl
Guest editorial: special multi-issue on selected topics in Automated Software Engineering.
Autom. Softw. Eng.
Tim Menzies, Corina S. Pasareanu
2015 J jnl
Guest editorial: special multi-issue on selected topics in automated software engineering.
Autom. Softw. Eng.
Tim Menzies, Corina S. Pasareanu
2015 — conf
LACE2: Better Privacy-Preserving Data Sharing for Cross Project Defect Prediction.
ICSE (1)
Fayola Peters, Tim Menzies, Lucas Layman
2015 — ch.
Past, Present, and Future of Analyzing Software Data.
The Art and Science of Analyzing Software Data
Christian Bird, Tim Menzies, Thomas Zimmermann
2015 — book
The Art and Science of Analyzing Software Data
Christian Bird, Tim Menzies, Thomas Zimmermann
2015 — conf
The Art and Science of Analyzing Software Data; Quantitative Methods.
ICSE (2)
Tim Menzies, Leandro L. Minku, Fayola Peters
2015 J jnl
Transfer learning in effort estimation.
Empir. Softw. Eng.
Ekrem Kocaguneli, Tim Menzies, Emilia Mendes
2014 — conf
Analyzing software data: after the gold rush (a goldfish-bowl panel).
ICSE Companion
Tim Menzies, Christian Bird, Thomas Zimmermann
2014 — ch.
Data Mining.
Recommendation Systems in Software Engineering
Tim Menzies
2014 — conf
Learning the Task Management Space of an Aircraft Approach Model.
AAAI Spring Symposia
Joseph Krall, Tim Menzies, Misty D. Davies
2014 — ch.
Occam's Razor and Simple Software Project Management.
Software Project Management in a Changing World
Tim Menzies
2014 J jnl
Software Development Analytics (Dagstuhl Seminar 14261).
Dagstuhl Reports
Harald C. Gall, Tim Menzies, Laurie A. Williams, Thomas Zimmermann
2014 J jnl
Special issue on realizing artificial intelligence synergies in software engineering.
Softw. Qual. J.
Tim Menzies, Marjan Mernik
2013 A* conf
1st international workshop on data analysis patterns in software engineering (DAPSE 2013).
ICSE
Christian Bird, Tim Menzies, Thomas Zimmermann
2013 A* conf
2nd international workshop on realizing artificial intelligence synergies in software engineering (RAISE 2013).
ICSE
Rachel Harrison, Sol J. Greenspan, Tim Menzies, Marjan Mernik, Pedro Rangel Henriques, Daniela Carneiro da Cruz, Daniel Rodríguez
2013 J jnl
Active Learning and Effort Estimation: Finding the Essential Content of Software Effort Estimation Data.
IEEE Trans. Software Eng.
Ekrem Kocaguneli, Tim Menzies, Jacky Keung, David R. Cok, Raymond J. Madachy
2013 A* conf
Automatic query reformulations for text retrieval in software engineering.
ICSE
Sonia Haiduc, Gabriele Bavota, Andrian Marcus, Rocco Oliveto, Andrea De Lucia, Tim Menzies
2013 J jnl
Balancing Privacy and Utility in Cross-Company Defect Prediction.
IEEE Trans. Software Eng.
Fayola Peters, Tim Menzies, Liang Gong, Hongyu Zhang
2013 A conf
Better cross company defect prediction.
MSR
Fayola Peters, Tim Menzies, Andrian Marcus
2013 J jnl
Beyond Data Mining.
IEEE Softw.
Tim Menzies
2013 — conf
Beyond data mining; towards "idea engineering".
PROMISE
Tim Menzies
2013 — conf
Building a second opinion: learning cross-company data.
PROMISE
Ekrem Kocaguneli, Bojan Cukic, Tim Menzies, Huihua Lu
2013 A* conf
Class level fault prediction using software clustering.
ASE
Giuseppe Scanniello, Carmine Gravino, Andrian Marcus, Tim Menzies
2013 A* conf
Data science for software engineering.
ICSE
Tim Menzies, Ekrem Kocaguneli, Fayola Peters, Burak Turhan, Leandro L. Minku
2013 A* conf
Distributed development considered harmful?
ICSE
Ekrem Kocaguneli, Thomas Zimmermann, Christian Bird, Nachiappan Nagappan, Tim Menzies
2013 J jnl
Finding conclusion stability for selecting the best effort predictor in software effort estimation.
Autom. Softw. Eng.
Jacky Keung, Ekrem Kocaguneli, Tim Menzies
2013 — conf
Foreword.
DAPSE@ICSE
Christian Bird, Tim Menzies, Thomas Zimmermann
2013 J jnl
Guest editorial for the Special Section on BEST PAPERS from the 2011 conference on Predictive Models in Software Engineering (PROMISE).
Inf. Softw. Technol.
Tim Menzies
2013 J jnl
Incremental Development of Fault Prediction Models.
Int. J. Softw. Eng. Knowl. Eng.
Yue Jiang, Bojan Cukic, Tim Menzies, Jie Lin
2013 J jnl
Kernel methods for software effort estimation - Effects of different kernel functions and bandwidths on estimation accuracy.
Empir. Softw. Eng.
Ekrem Kocaguneli, Tim Menzies, Jacky W. Keung
2013 J jnl
Learning Project Management Decisions: A Case Study with Case-Based Reasoning versus Data Farming.
IEEE Trans. Software Eng.
Tim Menzies, Adam Brady, Jacky Keung, Jairus Hihn, Steve Williams, Oussama El-Rawas, Phillip Green II, Barry W. Boehm
2013 A conf
Learning from Open-Source Projects: An Empirical Study on Defect Prediction.
ESEM
Zhimin He, Fayola Peters, Tim Menzies, Ye Yang
2013 J jnl
Local versus Global Lessons for Defect Prediction and Effort Estimation.
IEEE Trans. Software Eng.
Tim Menzies, Andrew Butcher, David R. Cok, Andrian Marcus, Lucas Layman, Forrest Shull, Burak Turhan, Thomas Zimmermann
2013 A* conf
On the value of user preferences in search-based software engineering: a case study in software product lines.
ICSE
Abdel Salam Sayyad, Tim Menzies, Hany H. Ammar
2013 — conf
Optimum feature selection in software product lines: Let your model and values guide your search.
CMSBSE@ICSE
Abdel Salam Sayyad, Joseph Ingram, Tim Menzies, Hany H. Ammar
2013 J jnl
Predictive models in software engineering.
Empir. Softw. Eng.
Tim Menzies, Günes Koru
2013 A* conf
Scalable product line configuration: A straw to break the camel's back.
ASE
Abdel Salam Sayyad, Joseph Ingram, Tim Menzies, Hany H. Ammar
2013 J jnl
Software Analytics: So What?
IEEE Softw.
Tim Menzies, Thomas Zimmermann
2013 J jnl
Software effort models should be assessed via leave-one-out validation.
J. Syst. Softw.
Ekrem Kocaguneli, Tim Menzies
2013 J jnl
The Many Faces of Software Analytics.
IEEE Softw.
Tim Menzies, Thomas Zimmermann
2012 C conf
Crowd-Sourced Knowledge Bases.
PKAW
Yang Sok Kim, Byeong Ho Kang, Seung Hwan Ryu, Paul Compton, Soyeon Caren Han, Tim Menzies
2012 J jnl
Exploiting the Essential Assumptions of Analogy-Based Effort Estimation.
IEEE Trans. Software Eng.
Ekrem Kocaguneli, Tim Menzies, Ayse Bener, Jacky W. Keung
2012 A* conf
Goldfish bowl panel: Software development analytics.
ICSE
Tim Menzies, Thomas Zimmermann
2012 J jnl
Guest editorial: learning to organize testing.
Autom. Softw. Eng.
Ayse Basar Bener, Tim Menzies
2012 A* ed.
IEEE/ACM International Conference on Automated Software Engineering, ASE'12, Essen, Germany, September 3-7, 2012
ASE
Michael Goedicke, Tim Menzies, Motoshi Saeki
2012 J jnl
Learning Better Inspection Optimization Policies.
Int. J. Softw. Eng. Knowl. Eng.
Markus Lumpe, Rajesh Vasa, Tim Menzies, Rebecca Rush, Burak Turhan
2012 — conf
Learning to change projects.
PROMISE
Raymond Borges, Tim Menzies
2012 J jnl
On the Value of Ensemble Effort Estimation.
IEEE Trans. Software Eng.
Ekrem Kocaguneli, Tim Menzies, Jacky W. Keung
2012 A* conf
Privacy and utility for defect prediction: Experiments with MORPH.
ICSE
Fayola Peters, Tim Menzies
2012 J jnl
Report from the first international workshop on realizing artificial intelligence synergies in software engineering (RAISE 2012).
ACM SIGSOFT Softw. Eng. Notes
Rachel Harrison, Daniela Carneiro da Cruz, Pedro Rangel Henriques, Maria João Varanda Pereira, Shih-Hsi Liu, Tim Menzies, Marjan Mernik, Daniel Rodríguez
2012 — conf
Size doesn't matter?: on the value of software size features for effort estimation.
PROMISE
Ekrem Kocaguneli, Tim Menzies, Jairus Hihn, Byeong Ho Kang
2012 — conf
Software feature model recommendations using data mining.
RSSE@ICSE
Abdel Salam Sayyad, Hany H. Ammar, Tim Menzies
2012 J jnl
Special issue on repeatable results in software engineering prediction.
Empir. Softw. Eng.
Tim Menzies, Martin J. Shepperd
2011 J jnl
Exploring the Effort of General Software Project Activities with Data Mining.
Int. J. Softw. Eng. Knowl. Eng.
Topi Haapio, Tim Menzies
2011 J jnl
Genetic Algorithms for Randomized Unit Testing.
IEEE Trans. Software Eng.
James H. Andrews, Tim Menzies, Felix Chun Hang Li
2011 A conf
How to Find Relevant Data for Effort Estimation?
ESEM
Ekrem Kocaguneli, Tim Menzies
2011 J jnl
Learning patterns of university student retention.
Expert Syst. Appl.
Ashutosh Nandeshwar, Tim Menzies, Adam Nelson
2011 A* conf
Local vs. global models for effort estimation and defect prediction.
ASE
Tim Menzies, Andrew Butcher, Andrian Marcus, Thomas Zimmermann, David R. Cok
2011 — ed.
Proceedings of the 7th International Conference on Predictive Models in Software Engineering, PROMISE 2011, Banff, Alberta, Canada, September 20-21, 2011
PROMISE
Tim Menzies
2011 J jnl
Sharing experiments using open-source software.
Softw. Pract. Exp.
Adam Nelson, Tim Menzies, Gregory Gay
2011 — ch.
The Quest for Convincing Evidence.
Making Software
Tim Menzies, Forrest Shull
2010 J jnl
A second look at Faster, Better, Cheaper.
Innov. Syst. Softw. Eng.
Oussama El-Rawas, Tim Menzies
2010 J jnl
Automatically finding the control variables for complex system behavior.
Autom. Softw. Eng.
Gregory Gay, Tim Menzies, Misty D. Davies, Karen Gundy-Burlet
2010 J jnl
Case-Based Reasoning for Reducing Software Development Effort.
J. Softw. Eng. Appl.
Adam Brady, Tim Menzies, Oussama El-Rawas, Ekrem Kocaguneli, Jacky W. Keung
2010 — conf
Case-based reasoning vs parametric models for software quality optimization.
PROMISE
Adam Brady, Tim Menzies
2010 J jnl
Defect prediction from static code features: current results, limitations, new approaches.
Autom. Softw. Eng.
Tim Menzies, Zach Milton, Burak Turhan, Bojan Cukic, Yue Jiang, Ayse Basar Bener
2010 J jnl
Finding robust solutions in requirements models.
Autom. Softw. Eng.
Gregory Gay, Tim Menzies, Omid Jalali, Gregory E. Mundy, Beau Gilkerson, Martin S. Feather, James D. Kiper
2010 — conf
On the shoulders of giants.
FoSER
Earl T. Barr, Christian Bird, Eric Hyatt, Tim Menzies, Gregorio Robles
2010 — conf
On the value of learning from defect dense components for software defect prediction.
PROMISE
Hongyu Zhang, Adam Nelson, Tim Menzies
2010 J jnl
Practical considerations in deploying statistical methods for defect prediction: A case study within the Turkish telecommunications industry.
Inf. Softw. Technol.
Ayse Tosun, Ayse Basar Bener, Burak Turhan, Tim Menzies
2010 — ed.
Proceedings of the 6th International Conference on Predictive Models in Software Engineering, PROMISE 2010, Timisoara, Romania, September 12-13, 2010
PROMISE
Tim Menzies, Günes Koru
2010 B conf
Regularities in Learning Defect Predictors.
PROFES
Burak Turhan, Ayse Basar Bener, Tim Menzies
2010 — conf
Software is data too.
FoSER
Andrian Marcus, Tim Menzies
2010 J jnl
Stable rankings for different effort models.
Autom. Softw. Eng.
Tim Menzies, Omid Jalali, Jairus Hihn, Daniel Baker, Karen T. Lum
2010 A* conf
Text mining in supporting software systems risk assurance.
ASE
Liguo Huang, Daniel Port, Liang Wang, Tao Xie, Tim Menzies
2010 A* conf
When to use data from other projects for effort estimation.
ASE
Ekrem Kocaguneli, Gregory Gay, Tim Menzies, Ye Yang, Jacky W. Keung
2009 J jnl
Accurate estimates without local data?
Softw. Process. Improv. Pract.
Tim Menzies, Steve Williams, Oussama El-Rawas, Daniel Baker, Barry W. Boehm, Jairus Hihn, Karen T. Lum, Raymond J. Madachy
2009 A* conf
Applications of Simulation and AI Search: Assessing the Relative Merits of Agile vs Traditional Software Development.
ASE
Bryan Lemon, Aaron Riesbeck, Tim Menzies, Justin Price, Joseph D'Alessandro, Rikard Carlsson, Tomi Prifiti, Fayola Peters, Huihua Lu, Daniel Port
2009 — conf
Can we build software faster and better and cheaper?
PROMISE
Tim Menzies, Oussama El-Rawas, Jairus Hihn, Barry W. Boehm
2009 — conf
Data mining with software industry project data: A case study.
IADIS AC (2)
Topi Haapio, Tim Menzies
2009 J jnl
Explanation vs Performance in Data Mining: A Case Study with Predicting Runaway Projects.
J. Softw. Eng. Appl.
Tim Menzies, Osamu Mizuno, Yasunari Takagi, Tohru Kikuno
2009 A* conf
How to avoid drastic software process change (using stochastic stability).
ICSE
Tim Menzies, Steve Williams, Barry W. Boehm, Jairus Hihn
2009 — conf
How to build repeatable experiments.
PROMISE
Gregory Gay, Tim Menzies, Bojan Cukic, Burak Turhan
2009 — conf
Is Continuous Compliance Assurance Possible?
ITNG
Joseph D'Alessandro, Cynthia D. Tanner, Bonnie W. Morris, Tim Menzies
2009 — conf
On the Relative Merits of Software Reuse.
ICSP
Andres S. Orrego, Tim Menzies, Oussama El-Rawas
2009 J jnl
On the relative value of cross-company and within-company data for defect prediction.
Empir. Softw. Eng.
Burak Turhan, Tim Menzies, Ayse Basar Bener, Justin S. Di Stefano
2009 — conf
On the use of relevance feedback in IR-based concept location.
ICSM
Gregory Gay, Sonia Haiduc, Andrian Marcus, Tim Menzies
2009 — conf
On the value of combining feature subset selection with genetic algorithms: faster learning of coverage models.
PROMISE
James H. Andrews, Tim Menzies
2009 J jnl
Special issue on information retrieval for program comprehension.
Empir. Softw. Eng.
Letha H. Etzkorn, Tim Menzies
2009 A* conf
Understanding the Value of Software Engineering Technologies.
ASE
Phillip Green II, Tim Menzies, Steve Williams, Oussama El-Rawas
2009 A conf
Variance Analysis in Software Fault Prediction Models.
ISSRE
Yue Jiang, Jie Lin, Bojan Cukic, Tim Menzies
2008 — conf
4th international workshop on predictor models in SE (PROMISE 2008).
ICSE Companion
Gary D. Boetticher, Tim Menzies, Thomas J. Ostrand, Günther Ruhe
2008 J jnl
A Broad, Quantitative Model for Making Early Requirements Decisions.
IEEE Softw.
Martin S. Feather, Steven L. Cornford, Kenneth A. Hicks, James D. Kiper, Tim Menzies
2008 — conf
Accurate Estimates without Calibration?
ICSP
Tim Menzies, Oussama El-Rawas, Barry W. Boehm, Raymond J. Madachy, Jairus Hihn, Daniel Baker, Karen T. Lum
2008 — conf
Automated severity assessment of software defect reports.
ICSM
Tim Menzies, Andrian Marcus
2008 — conf
Can data transformation help in the detection of fault-prone modules?
DEFECTS
Yue Jiang, Bojan Cukic, Tim Menzies
2008 — conf
Comparing design and code metrics for software quality prediction.
PROMISE@ICSE
Yue Jiang, Bojan Cukic, Tim Menzies, Nick Bartlow
2008 A conf
Cost Curve Evaluation of Fault Prediction Models.
ISSRE
Yue Jiang, Bojan Cukic, Tim Menzies
2008 J jnl
Editorial, special issue, repeatable experiments in software engineering.
Empir. Softw. Eng.
Tim Menzies
2008 — conf
Implications of ceiling effects in defect predictors.
PROMISE@ICSE
Tim Menzies, Burak Turhan, Ayse Bener, Gregory Gay, Bojan Cukic, Yue Jiang
2008 J jnl
Learning better IV&V practices.
Innov. Syst. Softw. Eng.
Tim Menzies, Markland Benson, Ken Costello, Christina Moats, Melissa Northey, Julian Richardson
2008 — conf
Nearest neighbor sampling for cross company defect predictors: abstract only.
DEFECTS
Burak Turhan, Ayse Basar Bener, Tim Menzies
2008 — conf
Optimizing requirements decisions with keys.
PROMISE@ICSE
Omid Jalali, Tim Menzies, Martin S. Feather
2008 A* conf
Tool Support for Parametric Analysis of Large Software Simulation Systems.
ASE
Johann Schumann, Karen Gundy-Burlet, Corina S. Pasareanu, Tim Menzies, Tony Barrett
2008 A* conf
Using Simulation to Investigate Requirements Prioritization Strategies.
ASE
Daniel Port, Alexy Olkov, Tim Menzies
2007 — conf
Column Pruning Beats Stratification in Effort Estimation.
PROMISE@ICSE
Omid Jalali, Tim Menzies, Daniel Baker, Jairus Hihn
2007 J jnl
Data Mining Static Code Attributes to Learn Defect Predictors.
IEEE Trans. Software Eng.
Tim Menzies, Jeremy Greenwald, Art Frank
2007 A conf
Fault Prediction using Early Lifecycle Data.
ISSRE
Yue Jiang, Bojan Cukic, Tim Menzies
2007 A* conf
Nighthawk: a two-level genetic-random unit test data generator.
ASE
James H. Andrews, Felix Chun Hang Li, Tim Menzies
2007 J jnl
Problems with Precision: A Response to "Comments on 'Data Mining Static Code Attributes to Learn Defect Predictors'".
IEEE Trans. Software Eng.
Tim Menzies, Alex Dekhtyar, Justin S. Di Stefano, Jeremy Greenwald
2007 J jnl
The Strangest Thing About Software.
Computer
Tim Menzies, David Owen, Julian Richardson
2007 A* conf
The business case for automated software engineering.
ASE
Tim Menzies, Oussama El-Rawas, Jairus Hihn, Martin S. Feather, Raymond J. Madachy, Barry W. Boehm
2006 J jnl
Evidence-Based Cost Estimation for Better-Quality Software.
IEEE Softw.
Tim Menzies, Jairus Hihn
2006 J jnl
Just enough learning (of association rules): the TAR2 "Treatment" learner.
Artif. Intell. Rev.
Tim Menzies, Ying Hu
2006 — conf
Learning IV&V Strategies.
HICSS
Marcus S. Fisher, Tim Menzies
2006 J jnl
Making Sense of Requirements, Sooner.
Computer
Tim Menzies, Julian Richardson
2006 — conf
On the Distribution of Property Violations in Formal Models: An Initial Study.
COMPSAC (1)
Jimin Gao, Mats Per Erik Heimdahl, David Owen, Tim Menzies
2006 C conf
Qualitative Modeling for Requirements Engineering.
SEW
Tim Menzies, Julian Richardson
2006 J jnl
Selecting Best Practices for Effort Estimation.
IEEE Trans. Software Eng.
Tim Menzies, Zhihao Chen, Jairus Hihn, Karen T. Lum
2005 — conf
Feature subset selection can improve software cost estimation accuracy.
PROMISE@ICSE
Zhihao Chen, Tim Menzies, Dan Port, Barry W. Boehm
2005 J jnl
Feature subset selection can improve software cost estimation accuracy.
ACM SIGSOFT Softw. Eng. Notes
Zhihao Chen, Tim Menzies, Daniel Port, Barry W. Boehm
2005 J jnl
Finding the Right Data for Software Cost Modeling.
IEEE Softw.
Zhihao Chen, Barry W. Boehm, Tim Menzies, Daniel Port
2005 A* conf
Predictor models in software engineering (PROMISE).
ICSE
Jelber Sayyad-Shirabad, Tim Menzies
2005 — conf
Simple software cost analysis: safe or unsafe?
PROMISE@ICSE
Tim Menzies, Dan Port, Zhihao Chen, Jairus Hihn
2005 J jnl
Simple software cost analysis: safe or unsafe?
ACM SIGSOFT Softw. Eng. Notes
Tim Menzies, Daniel Port, Zhihao Chen, Jairus Hihn
2005 A* conf
Specialization and extrapolation of software cost models.
ASE
Tim Menzies, Daniel Port, Zhihao Chen, Jairus Hihn
2005 A* conf
Validation methods for calibrating software effort models.
ICSE
Tim Menzies, Daniel Port, Zhihao Chen, Jairus Hihn, Sherry Stukes
2005 J jnl
Verification and Validation and Artificial Intelligence.
Adv. Comput.
Tim Menzies, Charles Pecheur
2004 — conf
How Good Is Your Blind Spot Sampling Policy?
HASE
Tim Menzies, Justin S. Di Stefano
2004 A conf
Mining Repositories to Assist in Project Planning and Resource Allocation.
MSR
Tim Menzies, Justin S. Di Stefano, Chris Cunanan, Robert (Mike) Chapman
2004 A conf
Text is Software Too.
MSR
Alexander Dekhtyar, Jane Huffman Hayes, Tim Menzies
2003 C conf
Better Analysis of Defect Data at NASA.
SEKE
Tim Menzies, Robyn R. Lutz, Ines Carmen Mikulski
2003 J jnl
Data Mining for Very Busy People.
Computer
Tim Menzies, Ying Hu
2003 J jnl
Editorial: model-based requirements engineering.
Requir. Eng.
Tim Menzies
2003 J jnl
Guest Editor's Introduction: 21st Century AI--Proud, Not Smug.
IEEE Intell. Syst.
Tim Menzies
2003 C conf
Improved Software Engineering Decision Support Through Automatic Argument Reduction Tools.
SEKE
Tim Menzies, James D. Kiper, Martin S. Feather
2003 — conf
Learning Early Lifecycle IV&V Quality Indicators.
IEEE METRICS
Tim Menzies, Justin S. Di Stefano, Mike Chapman
2003 C conf
Lurch: a Lightweight Alternative to Model Checking.
SEKE
David Owen, Tim Menzies
2003 C conf
Matching Software Practitioner Needs to Researcher Activities.
APSEC
Martin S. Feather, Tim Menzies, Judith R. Connelly
2003 C conf
Model-Based Software Testing via Incremental Treatment Learning.
SEW
Dustin Geletko, Tim Menzies
2003 J jnl
More Success and Failure Factors in Software Reuse.
IEEE Trans. Software Eng.
Tim Menzies, Justin S. Di Stefano
2003 C conf
On the Advantages of Approximate vs. Complete Verification: Bigger Models, Faster, Less Memory, Usually Accurate.
SEW
David Owen, Tim Menzies, Mats Per Erik Heimdahl, Jimin Gao
2003 A conf
Relating Practitioner Needs to Research Activities.
RE
Martin S. Feather, Tim Menzies, Judith R. Connelly
2003 B conf
Validating an Online Adaptive System Using SVDD.
ICTAI
Yan Liu, Srikanth Gururajan, Bojan Cukic, Tim Menzies, Marcello R. Napolitano
2003 — conf
When Can We Test Less?
IEEE METRICS
Tim Menzies, Justin S. Di Stefano, Kareem Ammar, Kenneth McGill, Pat Callis, Robert (Mike) Chapman, John Davis
2002 — conf
An Alternative to Model Checking: Verification by Random Search of AND-OR Graphs Representing Finite-State Models.
HASE
David Owen, Bojan Cukic, Tim Menzies
2002 J jnl
Applications of Abduction: Testing Very Long Qualitative Simulations.
IEEE Trans. Knowl. Data Eng.
Tim Menzies, Robert F. Cohen, Sam Waugh, Simon Goss
2002 A conf
Converging on the Optimal Attainment of Requirements.
RE
Martin S. Feather, Tim Menzies
2002 B conf
Data Sniffing - Monitoring of Machine Learning for Online Adaptive Systems.
ICTAI
Yan Liu, Tim Menzies, Bojan Cukic
2002 B conf
Machine Learning for Software Engineering: Case Studies in Software Reuse.
ICTAI
Justin S. Di Stefano, Tim Menzies
2002 A* conf
Model-Based Tests of Truisms.
ASE
Tim Menzies, David Raffo, Siri-on Setamanit, Ying Hu, Sina Tootoonia
2002 A conf
Saturation Effects in Testing of Formal Models.
ISSRE
Tim Menzies, David Owen, Bojan Cukic
2002 J jnl
Simulations for very early lifecycle quality evaluations.
Softw. Process. Improv. Pract.
Eliza Chiang, Tim Menzies
2002 — conf
Some prolog macros for rule-based programming: why? how?
ACM SIGPLAN Workshop on Rule-Based Programming
Tim Menzies, Lindsay Mason
2002 — conf
What Is an Agent and Why Should I Care?
FAABS
Tim Menzies, Adrian R. Pearce, Clinton Heinze, Simon Goss
2002 A* conf
What Makes Finite-State Models More (or Less) Testable?
ASE
David Owen, Tim Menzies, Bojan Cukic
2002 — conf
You Seem Friendly, But Can I Trust You?
FAABS
Tim Menzies, David Owen, Bojan Cukic
2001 A* conf
Better Reasoning About Software Engineering Activities.
ASE
Tim Menzies, James D. Kiper
2001 A* conf
Fast Formal Analysis of Requirements via "Topoi Diagrams".
ICSE
Tim Menzies, John D. Powell, Michael E. Houle
2001 Misc conf
How AI Can Help SE; or: Randomized Search Not Considered Harmful.
AI
Tim Menzies, Harshinder Singh
2000 J jnl
Adequacy of Limited Testing for Knowledge Based Systems.
Int. J. Artif. Intell. Tools
Tim Menzies, Bojan Cukic
2000 — conf
Agents Talking Faster.
FAABS
Tim Menzies, Bojan Cukic, Harshinder Singh
2000 J jnl
Issues with Meta-Knowledge.
Int. J. Softw. Eng. Knowl. Eng.
Tim Menzies, Klaus-Dieter Althoff, Yannis Kalfoglou, Enrico Motta
2000 J jnl
Meta-knowledge in systems design: panacea ... or undelivered promise?
Knowl. Eng. Rev.
Yannis Kalfoglou, Tim Menzies, Klaus-Dieter Althoff, Enrico Motta
2000 A* conf
Practical Large Scale What-If Queries: Case Studies with Software Risk Assessment.
ASE
Tim Menzies, Erik Sinsel
2000 J jnl
Reports on the AAAI 1999 Workshop Program.
AI Mag.
Brian Drabble, Laurent Chaudron, Catherine Tessier, Sue Abu-Hakima, Steven Willmott, Jim Austin, Boi Faltings, Eugene C. Freuder, Gerhard Friedrich, Alex Alves Freitas, Ulises Cortés, Miquel Sànchez-Marrè, David W. Aha, Irma Becerra-Fernandez, Héctor Muñoz-Avila, Aditya Ghose, Tim Menzies, Ken Satoh, Mary Elaine Califf, Michael T. Cox, Sandip Sen, Patrick Brézillon, Jean-Charles Pomerol, Roy M. Turner, Elise H. Turner
2000 A conf
Testing Nondeterminate Systems.
ISSRE
Tim Menzies, Bojan Cukic, Harshinder Singh, John D. Powell
2000 — conf
The Complexity of TRMCS-like Spiral Specification.
IWSSD
Tim Menzies
2000 A* conf
WISE
ICSE
Tim Menzies
2000 J jnl
When to Test Less.
IEEE Softw.
Tim Menzies, Bojan Cukic
1999 A conf
An Empirical Investigation of Multiple Viewpoint Reasoning in Requirements Engineering.
RE
Tim Menzies, Steve M. Easterbrook, Bashar Nuseibeh, Sam Waugh
1999 J jnl
Cost benefits of ontologies.
Intell.
Tim Menzies
1999 J jnl
Critical success metrics: evaluation at the business level.
Int. J. Hum. Comput. Stud.
Tim Menzies
1999 J jnl
Desert Island Column.
Autom. Softw. Eng.
Tim Menzies
1999 J jnl
Editorial: Evaluating knowledge engineering techniques.
Int. J. Hum. Comput. Stud.
Tim Menzies, Frank van Harmelen
1999 J jnl
Knowledge maintenance: the state of the art.
Knowl. Eng. Rev.
Tim Menzies
1999 B conf
On the Sufficiency of Limited Testing for Knowledge Based Systems.
ICTAI
Tim Menzies, Bojan Cukic
1998 J jnl
Editorial: the challenge of situated cognition for symbolic knowledge-based systems.
Int. J. Hum. Comput. Stud.
Tim Menzies, William J. Clancey
1998 — conf
Lower Bounds on the Size of Test Data Sets.
Australian Joint Conference on Artificial Intelligence
Tim Menzies, Sam Waugh
1998 — conf
Lower Bounds on the Size of Test Data Sets.
EUROVAV
Tim Menzies, Sam Waugh
1998 B conf
On the Practicality of Viewpoint-Based Requirements Engineering.
PRICAI
Tim Menzies, Sam Waugh
1998 — conf
The Temporal QCM Modelling Language.
Australian Joint Conference on Artificial Intelligence
Sam Waugh, Brian Hanlon, Tim Menzies
1998 J jnl
Towards situated knowledge acquisition.
Int. J. Hum. Comput. Stud.
Tim Menzies
1997 — conf
A Graph Theoretic Optimisation of Temporal Abductive Validation.
EUROVAV
Tim Menzies, Robert F. Cohen
1997 J jnl
Applications of abduction: hypothesis testing of neuroendocrinological qualitative compartmental models.
Artif. Intell. Medicine
Tim Menzies, Paul Compton
1997 — conf
Evaluating a Qualitative Reasoner.
Australian Joint Conference on Artificial Intelligence
Sam Waugh, Tim Menzies, Simon Goss
1997 J jnl
Object-Oriented Patterns: Lessons from Expert Systems.
Softw. Pract. Exp.
Tim Menzies
1996 J jnl
Applications of abduction: knowledge-level modelling.
Int. J. Hum. Comput. Stud.
Tim Menzies
1996 A conf
On the Practicality of Abductive Validation.
ECAI
Tim Menzies
1996 C conf
Visual Programming, Knowledge Engineering, and Software Engineering.
SEKE
Tim Menzies
1993 — conf
"C++ is Better Than Smalltalk"??
TOOLS (12/9)
Philip Haynes, Tim Menzies
1993 — conf
How to Edit "It"; or: A "Black-box" Constraint-Based Framework for User-Interaction with Arbitrary Structures.
TOOLS (12/9)
Tim Menzies, Richard Spurrett
1993 — conf
The Mysterious Case of the Missing Reusable Class Libraries.
TOOLS (12/9)
Tim Menzies, Julian M. Edwards, Kekwee Ng
1992 — conf
Is-a Object Part-of Knowledge Representation (Part 2).
TOOLS (6)
Tim Menzies
1989 J jnl
An Investigation of AI and Expert Systems Literature: 1980-1984.
AI Mag.
Tim Menzies
1988 — conf
Combining Heuristics and Simulation Models: An Expert System for the Optimal Management of Pigs.
Australian Joint Conference on Artificial Intelligence
Tim Menzies, M. Dean, J. L. Black, J. F. Fleming