David Bowes - RankMe

62 papers A 11B 4C 2Misc 1Journal 20Unranked 22

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	The impact of hard and easy negative training data on vulnerability prediction performance. J. Syst. Softw. Fahad Al Debeyan, Lech Madeyski, Tracy Hall, David Bowes
2023	J	`jnl`	Fault-insertion and fault-fixing behavioural patterns in Apache Software Foundation Projects. Inf. Softw. Technol. Marco Ortu, Giuseppe Destefanis, Tracy Hall, David Bowes
2023	J	`jnl`	How do Developers Really Feel About Bug Fixing? Directions for Automatic Program Repair. IEEE Trans. Software Eng. Emily Winter, David Bowes, Steve Counsell, Tracy Hall, Saemundur O. Haraldsson, Vesna Nowack, John R. Woodward
2023	J	`jnl`	Let's Talk With Developers, Not About Developers: A Review of Automatic Program Repair Research. IEEE Trans. Software Eng. Emily Winter, Vesna Nowack, David Bowes, Steve Counsell, Tracy Hall, Sæmundur Óskar Haraldsson, John R. Woodward
2022	B	`conf`	An 80-20 Analysis of Buggy and Non-buggy Refactorings in Open-Source Commits. SEAA Steve Counsell, Vesna Nowack, Tracy Hall, David Bowes, Saemundur Haraldsson, Emily Winter, John R. Woodward
2022	—	`conf`	Improving the performance of code vulnerability prediction using abstract syntax tree information. PROMISE Fahad Al Debeyan, Tracy Hall, David Bowes
2022	—	`conf`	Some Automatically Generated Patches are More Likely to be Correct than Others: An Analysis of Defects4J Patch Features. APR@ICSE Gareth Bennett, Tracy Hall, David Bowes
2022	—	`conf`	Towards developer-centered automatic program repair: findings from Bloomberg. ESEC/SIGSOFT FSE Emily Rowan Winter, Vesna Nowack, David Bowes, Steve Counsell, Tracy Hall, Sæmundur Óskar Haraldsson, John R. Woodward, Serkan Kirbas, Etienne Windels, Olayori McBello, Abdurahman Atakishiyev, Kevin Kells, Matthew W. Pagano
2021	J	`jnl`	Assert Use and Defectiveness in Industrial Code. CoRR Steve Counsell, Tracy Hall, Thomas Shippey, David Bowes, Amjed Tahir, Stephen G. MacDonell
2021	A	`conf`	Expanding Fix Patterns to Enable Automatic Program Repair. ISSRE Vesna Nowack, David Bowes, Steve Counsell, Tracy Hall, Saemundur Haraldsson, Emily Winter, John R. Woodward
2021	J	`jnl`	On The Introduction of Automatic Program Repair in Bloomberg. IEEE Softw. Serkan Kirbas, Etienne Windels, Olayori McBello, Kevin Kells, Matthew W. Pagano, Rafal Szalanski, Vesna Nowack, Emily Rowan Winter, Steve Counsell, David Bowes, Tracy Hall, Saemundur Haraldsson, John R. Woodward
2020	A	`conf`	BugVis: Commit Slicing for Fault Visualisation. ICPC David Bowes, Jean Petric, Tracy Hall
2020	—	`conf`	Exploiting fault localisation for efficient program repair. GECCO Companion Vesna Nowack, David Bowes, Steve Counsell, Tracy Hall, Saemundur Haraldsson, Emily Winter, John R. Woodward
2020	—	`conf`	Fault-insertion and fault-fixing: analysing developer activity over time. PROMISE David Bowes, Giuseppe Destefanis, Tracy Hall, Jean Petric, Marco Ortu
2020	—	`conf`	Human Factors in the Study of Automatic Software Repair: Future Directions for Research with Industry. ICSE (Workshops) Emily Winter, David Bowes, Steve Counsell, Tracy Hall, Saemundur Haraldsson, Vesna Nowack, John R. Woodward
2020	A	`conf`	Which Software Faults Are Tests Not Detecting? EASE Jean Petric, Tracy Hall, David Bowes
2020	Misc	`conf`	Zones of Pain: Visualising the Relationship Between Software Architecture and Defects. QUATIC Jean Petric, Tracy Hall, David Bowes
2019	J	`jnl`	Automatically identifying code features for software defect prediction: Using AST N-grams. Inf. Softw. Technol. Thomas Shippey, David Bowes, Tracy Hall
2019	J	`jnl`	Guest editorial: special section on predictive models and data analytics in software engineering. Empir. Softw. Eng. David Bowes, Emad Shihab, Burak Turhan
2018	—	`conf`	A Longitudinal Study of Anti Micro Patterns in 113 versions of Tomcat. PROMISE Giuseppe Destefanis, S. Qaderi, David Bowes, Jean Petric, Marco Ortu
2018	—	`conf`	Angry-builds: an empirical study of affect metrics and builds success on github ecosystem. XP Companion Marco Ortu, Andrea Pinna, Roberto Tonelli, Michele Marchesi, David Bowes, Giuseppe Destefanis
2018	J	`jnl`	Authors' Reply to "Comments on 'Researcher Bias: The Use of Machine Learning in Software Defect Prediction'". IEEE Trans. Software Eng. Martin J. Shepperd, Tracy Hall, David Bowes
2018	B	`conf`	Code Cleaning for Software Defect Prediction: A Cautionary Tale. SEAA Thomas Shippey, David Bowes, Steve Counsell, Tracy Hall
2018	—	`conf`	How Effectively Is Defective Code Actually Tested?: An Analysis of JUnit Tests in Seven Open Source Systems. PROMISE Jean Petric, Tracy Hall, David Bowes
2018	—	`conf`	Mining Communication Patterns in Software Development: A GitHub Analysis. PROMISE Marco Ortu, Tracy Hall, Michele Marchesi, Roberto Tonelli, David Bowes, Giuseppe Destefanis
2018	—	`conf`	On measuring affects of github issues' commenters. SEmotion@ICSE Giuseppe Destefanis, Marco Ortu, David Bowes, Michele Marchesi, Roberto Tonelli
2018	J	`jnl`	Reproducibility and replicability of software defect prediction studies. Inf. Softw. Technol. Zaheed Mahmood, David Bowes, Tracy Hall, Peter C. R. Lane, Jean Petric
2018	J	`jnl`	Software defect prediction: do different classifiers find the same defects? Softw. Qual. J. David Bowes, Tracy Hall, Jean Petric
2018	A	`conf`	The relationship between evolutionary coupling and defects in large industrial software (journal-first abstract). SANER Serkan Kirbas, Bora Caglayan, Tracy Hall, Steve Counsell, David Bowes, Alper Sen, Ayse Bener
2017	—	`conf`	Assert Use and Defectiveness in Industrial Code. ISSRE Workshops Steve Counsell, Tracy Hall, Thomas Shippey, David Bowes, Amjed Tahir, Stephen G. MacDonell
2017	—	`conf`	Getting Defect Prediction Into Industrial Practice: the ELFF Tool. ISSRE Workshops David Bowes, Steve Counsell, Tracy Hall, Jean Petric, Thomas Shippey
2017	—	`conf`	How Good Are My Tests? WETSoM@ICSE David Bowes, Tracy Hall, Jean Petric, Thomas Shippey, Burak Turhan
2017	J	`jnl`	Introduction to the EASE 2016 special section: Evidence-based software engineering: Past, present, and future. Inf. Softw. Technol. Sarah Beecham, David Bowes, Klaas-Jan Stol
2017	—	`ed.`	Proceedings of the 13th International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2017, Toronto, Canada, November 8, 2017 PROMISE Burak Turhan, David Bowes, Emad Shihab
2017	J	`jnl`	The relationship between evolutionary coupling and defects in large industrial software. J. Softw. Evol. Process. Serkan Kirbas, Bora Caglayan, Tracy Hall, Steve Counsell, David Bowes, Alper Sen, Ayse Bener
2016	A	`conf`	Building an Ensemble for Software Defect Prediction Based on Diversity Selection. ESEM Jean Petric, David Bowes, Tracy Hall, Bruce Christianson, Nathan Baddoo
2016	A	`conf`	Mutation-aware fault prediction. ISSTA David Bowes, Tracy Hall, Mark Harman, Yue Jia, Federica Sarro, Fan Wu
2016	A	`conf`	So You Need More Method Level Datasets for Your Software Defect Prediction?: Voilà! ESEM Thomas Shippey, Tracy Hall, Steve Counsell, David Bowes
2016	A	`conf`	The jinx on the NASA software defect data sets. EASE Jean Petric, David Bowes, Tracy Hall, Bruce Christianson, Nathan Baddoo
2015	—	`conf`	Different Classifiers Find Different Defects Although With Different Level of Consistency. PROMISE David Bowes, Tracy Hall, Jean Petric
2015	—	`conf`	What is the Impact of Imbalance on Software Defect Prediction Performance? PROMISE Zaheed Mahmood, David Bowes, Peter C. R. Lane, Tracy Hall
2014	J	`jnl`	DConfusion: a technique to allow cross study performance evaluation of fault prediction studies. Autom. Softw. Eng. David Bowes, Tracy Hall, David Gray
2014	J	`jnl`	Researcher Bias: The Use of Machine Learning in Software Defect Prediction. IEEE Trans. Software Eng. Martin J. Shepperd, David Bowes, Tracy Hall
2014	J	`jnl`	Some Code Smells Have a Significant but Small Effect on Faults. ACM Trans. Softw. Eng. Methodol. Tracy Hall, Min Zhang, David Bowes, Yi Sun
2013	—	`—`	Factors affecting the performance of trainable models for software defect prediction. David Bowes
2013	—	`conf`	The inconsistent measurement of Message Chains. WETSoM David Bowes, David Randall, Tracy Hall
2012	J	`jnl`	A Systematic Literature Review on Fault Prediction Performance in Software Engineering. IEEE Trans. Software Eng. Tracy Hall, Sarah Beecham, David Bowes, David Gray, Steve Counsell
2012	A	`conf`	A mapping study of software code cloning. EASE Thomas Shippey, David Bowes, Bruce Christianson, Tracy Hall
2012	—	`conf`	Comparing the performance of fault prediction models which report multiple performance measures: recomputing the confusion matrix. PROMISE David Bowes, Tracy Hall, David Gray
2012	J	`jnl`	Reflections on the NASA MDP data sets. IET Softw. David Gray, David Bowes, Neil Davey, Yi Sun, Bruce Christianson
2012	—	`conf`	The State of Machine Learning Methodology in Software Fault Prediction. ICMLA (2) Tracy Hall, David Bowes
2011	J	`jnl`	Developing Fault-Prediction Models: What the Research Can Show Industry. IEEE Softw. Tracy Hall, Sarah Beecham, David Bowes, David Gray, Steve Counsell
2011	A	`conf`	Further thoughts on precision. EASE David Gray, David Bowes, Neil Davey, Yi Sun, Bruce Christianson
2011	—	`conf`	Program slicing-based cohesion measurement: the challenges of replicating studies using metrics. WETSoM David Bowes, Tracy Hall, Andrew Kerr
2011	A	`conf`	The misuse of the NASA metrics data program data sets for automated software defect prediction. EASE David Gray, David Bowes, Neil Davey, Yi Sun, Bruce Christianson
2010	J	`jnl`	A Theoretical and Empirical Analysis of Three Slice-Based Metrics for Cohesion. Int. J. Softw. Eng. Knowl. Eng. Steve Counsell, Tracy Hall, David Bowes
2010	—	`conf`	An Analysis of the "Inconclusive' Change Report Category in OSS Assisted by a Program Slicing Metric. EUROMICRO-SEAA Steve Counsell, Tracy Hall, Emal Nasseri, David Bowes
2010	B	`conf`	Evaluating Three Approaches to Extracting Fault Data from Software Change Repositories. PROFES Tracy Hall, David Bowes, Gernot Armin Liebchen, Paul Wernick
2010	B	`conf`	Software defect prediction using static code metrics underestimates defect-proneness. IJCNN David Gray, David Bowes, Neil Davey, Yi Sun, Bruce Christianson
2009	—	`conf`	Fault Analysis in OSS Based on Program Slicing Metrics. EUROMICRO-SEAA Sue Black, Steve Counsell, Tracy Hall, David Bowes
2009	C	`conf`	The role of lateral inhibition in the sensory processing in a simulated spiking neural controller for a robot. ALIFE David Bowes, Rod Adams, Lola Cañamero, Volker Steuber, Neil Davey
2009	C	`conf`	Using the Support Vector Machine as a Classification Method for Software Defect Prediction with Static Code Metrics. EANN David Gray, David Bowes, Neil Davey, Yi Sun, Bruce Christianson