Nachiappan Nagappan

200 papers A* 24A 60B 1C 5Misc 2Journal 63Unranked 41

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Improving Code Reviewer Recommendation: Accuracy, Latency, Workload, and Bystanders. ACM Trans. Softw. Eng. Methodol. Peter C. Rigby, Seth Rogers, Sadruddin Saleem, Parth Suresh, Daniel Suskin, Patrick Riggs, Chandra Shekhar Maddila, Nachiappan Nagappan, Audris Mockus
2025	J	`jnl`	A Systematic Literature Review on Automated Software Vulnerability Detection Using Machine Learning. ACM Comput. Surv. Nima Shiri Harzevili, Alvine Boaye Belle, Junjie Wang, Song Wang, Zhen Ming (Jack) Jiang, Nachiappan Nagappan
2025	J	`jnl`	AI-Assisted Fixes to Code Review Comments at Scale. CoRR Chandra Shekhar Maddila, Negar Ghorbani, James Saindon, Parth Thakkar, Vijayaraghavan Murali, Rui Abreu, Jingyue Shen, Brian Zhou, Nachiappan Nagappan, Peter C. Rigby
2025	J	`jnl`	Agentic Program Repair from Test Failures at Scale: A Neuro-symbolic approach with static analysis and test execution feedback. CoRR Chandra Shekhar Maddila, Adam Tait, Claire Chang, Daniel Cheng, Nauman Ahmad, Vijayaraghavan Murali, Marshall Roch, Arnaud Avondet, Aaron Meltzer, Victor Montalvao, Michael Hopko, Chris Waterson, Parth Thakkar, Renuka Fernandez, Kristian Kristensen, Sivan Barzily, Sherry Chen, Rui Abreu, Nachiappan Nagappan, Payam Shodjai, Killian Murphy, James Everingham, Aparna Ramani, Peter C. Rigby
2025	J	`jnl`	Code Improvement Practices at Meta. CoRR Audris Mockus, Peter C. Rigby, Rui Abreu, Anatoly Akkerman, Yogesh Bhootada, Payal Bhuptani, Gurnit Ghardhora, Lan Hoang Dao, Chris Hawley, Renzhi He, Sagar Krishnamoorthy, Sergei Krauze, Jianmin Li, Anton Lunov, Dragos Martac, François Morin, Neil Mitchell, Venus Montes, Maher Saba, Matt Steiner, Andrea Valori, Shanchao Wang, Nachiappan Nagappan
2025	J	`jnl`	Leveraging Risk Models to Improve Productivity for Effective Code Un-Freeze at Scale. ACM Trans. Softw. Eng. Methodol. Audris Mockus, Rui Abreu, Peter C. Rigby, David Amsallem, Parveen Bansal, Kaavya Chinniah, Brian Ellis, Peng Fan, Jun Ge, Bingjie He, Kelly Hirano, Sahil Kumar, Ajay Lingapuram, Andrew Loe, Megh Mehta, Venus Montes, Maher Saba, Gursharan Singh, Matt Steiner, Weiyan Sun, Siri Uppalapati, Nachiappan Nagappan
2025	A*	`conf`	Metrics Driven Reengineering and Continuous Code Improvement at Meta. ASE Audris Mockus, Peter C. Rigby, Rui Abreu, Anatoly Akkerman, Yogesh Bhootada, Payal Bhuptani, Gurnit Ghardhora, Lan Hoang Dao, Chris Hawley, Renzhi He, Sagar Krishnamoorthy, Sergei Krauze, Jianmin Li, Anton Lunov, Dragos Martac, François Morin, Neil Mitchell, Venus Montes, Maher Saba, Matt Steiner, Andrea Valori, Shanchao Wang, Nachiappan Nagappan
2025	—	`conf`	Moving Faster and Reducing Risk: Using LLMs in Release Deployment. SEIP@ICSE Rui Abreu, Vijayaraghavan Murali, Peter C. Rigby, Chandra Shekhar Maddila, Weiyan Sun, Jun Ge, Kaavya Chinniah, Audris Mockus, Megh Mehta, Nachiappan Nagappan
2024	J	`jnl`	AI-Assisted Code Authoring at Scale: Fine-Tuning, Deploying, and Mixed Methods Evaluation. Proc. ACM Softw. Eng. Vijayaraghavan Murali, Chandra Shekhar Maddila, Imad Ahmad, Michael Bolin, Daniel Cheng, Negar Ghorbani, Renuka Fernandez, Nachiappan Nagappan, Peter C. Rigby
2024	J	`jnl`	Checker Bug Detection and Repair in Deep Learning Libraries. CoRR Nima Shiri Harzevili, Mohammad Mahdi Mohajer, Jiho Shin, Moshi Wei, Gias Uddin, Jinqiu Yang, Junjie Wang, Song Wang, Zhen Ming Jiang, Nachiappan Nagappan
2024	J	`jnl`	Moving Faster and Reducing Risk: Using LLMs in Release Deployment. CoRR Rui Abreu, Vijayaraghavan Murali, Peter C. Rigby, Chandra Shekhar Maddila, Weiyan Sun, Jun Ge, Kaavya Chinniah, Audris Mockus, Megh Mehta, Nachiappan Nagappan
2024	—	`conf`	Multi-line AI-Assisted Code Authoring. SIGSOFT FSE Companion Omer Dunay, Daniel Cheng, Adam Tait, Parth Thakkar, Peter C. Rigby, Andy Chiu, Imad Ahmad, Arun Ganesan, Chandra Shekhar Maddila, Vijayaraghavan Murali, Ali Tayyebi, Nachiappan Nagappan
2024	J	`jnl`	Multi-line AI-assisted Code Authoring. CoRR Omer Dunay, Daniel Cheng, Adam Tait, Parth Thakkar, Peter C. Rigby, Andy Chiu, Imad Ahmad, Arun Ganesan, Chandra Shekhar Maddila, Vijayaraghavan Murali, Ali Tayyebi, Nachiappan Nagappan
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
2023	J	`jnl`	A Survey on Automated Software Vulnerability Detection Using Machine Learning and Deep Learning. CoRR Nima Shiri Harzevili, Alvine Boaye Belle, Junjie Wang, Song Wang, Zhen Ming Jiang, Nachiappan Nagappan
2023	A	`conf`	Are We Speeding Up or Slowing Down? On Temporal Aspects of Code Velocity. MSR Gunnar Kudrjavets, Nachiappan Nagappan, Ayushi Rastogi
2023	J	`jnl`	Are We Speeding Up or Slowing Down? On Temporal Aspects of Code Velocity. CoRR Gunnar Kudrjavets, Nachiappan Nagappan, Ayushi Rastogi
2023	J	`jnl`	Automatic Static Bug Detection for Machine Learning Libraries: Are We There Yet? CoRR Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang, Nachiappan Nagappan
2023	A	`conf`	Automatic Static Vulnerability Detection for Machine Learning Libraries: Are We There Yet? ISSRE Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang, Nachiappan Nagappan
2023	A	`conf`	Characterizing and Understanding Software Security Vulnerabilities in Machine Learning Libraries. MSR Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang, Nachiappan Nagappan
2023	J	`jnl`	CodeCompose: A Large-Scale Industrial Deployment of AI-assisted Code Authoring. CoRR Vijayaraghavan Murali, Chandra Shekhar Maddila, Imad Ahmad, Michael Bolin, Daniel Cheng, Negar Ghorbani, Renuka Fernandez, Nachiappan Nagappan
2023	—	`conf`	Dead Code Removal at Meta: Automatically Deleting Millions of Lines of Code and Petabytes of Deprecated Data. ESEC/SIGSOFT FSE Will Shackleton, Katriel Cohn-Gordon, Peter C. Rigby, Rui Abreu, James Gill, Nachiappan Nagappan, Karim Nakad, Ioannis Papagiannis, Luke Petre, Giorgi Megreli, Patrick Riggs, James Saindon
2023	J	`jnl`	Improving Code Reviewer Recommendation: Accuracy, Latency, Workload, and Bystanders. CoRR Peter C. Rigby, Seth Rogers, Sadruddin Saleem, Parth Suresh, Daniel Suskin, Patrick Riggs, Chandra Shekhar Maddila, Nachiappan Nagappan
2023	—	`conf`	Modeling the Centrality of Developer Output with Software Supply Chains. ESEC/SIGSOFT FSE Audris Mockus, Peter C. Rigby, Rui Abreu, Parth Suresh, Yifen Chen, Nachiappan Nagappan
2023	J	`jnl`	Nudge: Accelerating Overdue Pull Requests toward Completion. ACM Trans. Softw. Eng. Methodol. Chandra Shekhar Maddila, Sai Surya Upadrasta, Chetan Bansal, Nachiappan Nagappan, Georgios Gousios, Arie van Deursen
2023	—	`conf`	Who Ate My Memory? Towards Attribution in Memory Management. ICSE-SEIP Gunnar Kudrjavets, Ayushi Rastogi, Jeff Thomas, Nachiappan Nagappan
2022	J	`jnl`	A Deep Dive into the Impact of COVID-19 on Software Development. IEEE Trans. Software Eng. Paulo Anselmo da Mota Silveira Neto, Umme Ayda Mannan, Eduardo Santana de Almeida, Nachiappan Nagappan, David Lo, Pavneet Singh Kochhar, Cuiyun Gao, Iftekhar Ahmed
2022	J	`jnl`	A Tale of Two Cities: Software Developers Working from Home during the COVID-19 Pandemic. ACM Trans. Softw. Eng. Methodol. Denae Ford, Margaret-Anne D. Storey, Thomas Zimmermann, Christian Bird, Sonia Jaffe, Chandra Shekhar Maddila, Jenna L. Butler, Brian Houck, Nachiappan Nagappan
2022	A	`conf`	Analyzing Offline Social Engagements: An Empirical Study of Meetup Events Related to Software Development. SANER Abhishek Sharma, Gede Artha Azriadi Prana, Anamika Sawhney, Nachiappan Nagappan, David Lo
2022	A	`conf`	Characterizing the Usage of CI Tools in ML Projects. ESEM Dhia Elhaq Rzig, Foyzul Hassan, Chetan Bansal, Nachiappan Nagappan
2022	—	`conf`	Code Quality Prediction Under Super Extreme Class Imbalance. ISSRE Workshops Noah Lee, Rui Abreu, Nachiappan Nagappan
2022	J	`jnl`	Code Smells in Machine Learning Systems. CoRR Jiri Gesi, Siqi Liu, Jiawei Li, Iftekhar Ahmed, Nachiappan Nagappan, David Lo, Eduardo Santana de Almeida, Pavneet Singh Kochhar, Lingfeng Bao
2022	J	`jnl`	ConE: A Concurrent Edit Detection Tool for Large-scale Software Development. ACM Trans. Softw. Eng. Methodol. Chandra Shekhar Maddila, Nachiappan Nagappan, Christian Bird, Georgios Gousios, Arie van Deursen
2022	A	`conf`	Do Small Code Changes Merge Faster? A Multi-Language Empirical Investigation. MSR Gunnar Kudrjavets, Nachiappan Nagappan, Ayushi Rastogi
2022	J	`jnl`	Do Small Code Changes Merge Faster? A Multi-Language Empirical Investigation. CoRR Gunnar Kudrjavets, Nachiappan Nagappan, Ayushi Rastogi
2022	J	`jnl`	Including Everyone, Everywhere: Understanding Opportunities and Challenges of Geographic Gender-Inclusion in OSS. IEEE Trans. Software Eng. Gede Artha Azriadi Prana, Denae Ford, Ayushi Rastogi, David Lo, Rahul Purandare, Nachiappan Nagappan
2022	A	`conf`	Is Kernel Code Different From Non-Kernel Code? A Case Study of BSD Family Operating Systems. ICSME Gunnar Kudrjavets, Jeff Thomas, Nachiappan Nagappan, Ayushi Rastogi
2022	J	`jnl`	Is Kernel Code Different From Non-Kernel Code? A Case Study of BSD Family Operating Systems. CoRR Gunnar Kudrjavets, Jeff Thomas, Nachiappan Nagappan, Ayushi Rastogi
2022	—	`conf`	Leveraging test plan quality to improve code review efficacy. ESEC/SIGSOFT FSE Lawrence Chen, Rui Abreu, Tobi Akomolede, Peter C. Rigby, Satish Chandra, Nachiappan Nagappan
2022	A	`conf`	Mining Code Review Data to Understand Waiting Times Between Acceptance and Merging: An Empirical Analysis. MSR Gunnar Kudrjavets, Aditya Kumar, Nachiappan Nagappan, Ayushi Rastogi
2022	J	`jnl`	Mining Code Review Data to Understand Waiting Times Between Acceptance and Merging: An Empirical Analysis. CoRR Gunnar Kudrjavets, Aditya Kumar, Nachiappan Nagappan, Ayushi Rastogi
2022	A	`conf`	On Quantifying the Benefits of Dead Code Removal. ICSME Gunnar Kudrjavets, Ayushi Rastogi, Jeff Thomas, Nachiappan Nagappan
2022	—	`conf`	Quantifying Daily Evolution of Mobile Software Based on Memory Allocator Churn. MOBILESoft Gunnar Kudrjavets, Jeff Thomas, Aditya Kumar, Nachiappan Nagappan, Ayushi Rastogi
2022	J	`jnl`	Quantifying Daily Evolution of Mobile Software Based on Memory Allocator Churn. CoRR Gunnar Kudrjavets, Jeff Thomas, Aditya Kumar, Nachiappan Nagappan, Ayushi Rastogi
2022	J	`jnl`	SoftNER: Mining knowledge graphs from cloud incidents. Empir. Softw. Eng. Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan
2022	A	`conf`	The Engineering Implications of Code Maintenance in Practice. ICSME Noah Lee, Rui Abreu, Mehmet Yatbaz, Hang Qu, Nachiappan Nagappan
2022	A	`conf`	The Evolving Landscape of Software Performance Engineering. EASE Gunnar Kudrjavets, Jeff Thomas, Nachiappan Nagappan
2022	J	`jnl`	The Evolving Landscape of Software Performance Engineering. CoRR Gunnar Kudrjavets, Jeff Thomas, Nachiappan Nagappan
2022	—	`conf`	The Unexplored Terrain of Compiler Warnings. ICSE (SEIP) Gunnar Kudrjavets, Aditya Kumar, Nachiappan Nagappan, Ayushi Rastogi
2022	J	`jnl`	The Unexplored Terrain of Compiler Warnings. CoRR Gunnar Kudrjavets, Aditya Kumar, Nachiappan Nagappan, Ayushi Rastogi
2022	J	`jnl`	The Unexplored Treasure Trove of Phabricator Code Review. CoRR Gunnar Kudrjavets, Nachiappan Nagappan, Ayushi Rastogi
2022	A	`conf`	The Unexplored Treasure Trove of Phabricator Code Reviews. MSR Gunnar Kudrjavets, Nachiappan Nagappan, Ayushi Rastogi
2022	A	`conf`	There Ain't No Such Thing as a Free Custom Memory Allocator. ICSME Gunnar Kudrjavets, Jeff Thomas, Aditya Kumar, Nachiappan Nagappan, Ayushi Rastogi
2022	J	`jnl`	There Ain't No Such Thing as a Free Custom Memory Allocator. CoRR Gunnar Kudrjavets, Jeff Thomas, Aditya Kumar, Nachiappan Nagappan, Ayushi Rastogi
2022	—	`conf`	Understanding why we cannot model how long a code review will take: an industrial case study. ESEC/SIGSOFT FSE Lawrence Chen, Peter C. Rigby, Nachiappan Nagappan
2022	—	`conf`	Using nudges to accelerate code reviews at scale. ESEC/SIGSOFT FSE Qianhua Shan, David Sukhdeo, Qianying Huang, Seth Rogers, Lawrence Chen, Elise Paradis, Peter C. Rigby, Nachiappan Nagappan
2022	—	`conf`	When malloc() Never Returns NULL - Reliability as an Illusion. ISSRE Workshops Gunnar Kudrjavets, Jeff Thomas, Aditya Kumar, Nachiappan Nagappan, Ayushi Rastogi
2022	J	`jnl`	When malloc() Never Returns NULL - Reliability as an Illusion. CoRR Gunnar Kudrjavets, Jeff Thomas, Aditya Kumar, Nachiappan Nagappan, Ayushi Rastogi
2022	J	`jnl`	Who Ate My Memory? Towards Attribution in Memory Management. CoRR Gunnar Kudrjavets, Ayushi Rastogi, Jeff Thomas, Nachiappan Nagappan
2022	—	`conf`	Workgraph: personal focus vs. interruption for engineers at Meta. ESEC/SIGSOFT FSE Yifen Chen, Peter C. Rigby, Yulin Chen, Kun Jiang, Nader Dehghani, Qianying Huang, Peter Cottle, Clayton Andrews, Noah Lee, Nachiappan Nagappan
2021	A*	`conf`	Automatic Unit Test Generation for Machine Learning Libraries: How Far Are We? ICSE Song Wang, Nishtha Shrestha, Abarna Kucheri Subburaman, Junjie Wang, Moshi Wei, Nachiappan Nagappan
2021	A*	`conf`	Can Program Synthesis be Used to Learn Merge Conflict Resolutions? An Empirical Analysis. ICSE Rangeet Pan, Vu Le, Nachiappan Nagappan, Sumit Gulwani, Shuvendu K. Lahiri, Mike Kaufman
2021	J	`jnl`	Can Program Synthesis be Used to Learn Merge Conflict Resolutions? An Empirical Analysis. CoRR Rangeet Pan, Vu Le, Nachiappan Nagappan, Sumit Gulwani, Shuvendu K. Lahiri, Mike Kaufman
2021	A	`conf`	Characterizing and Understanding Software Developer Networks in Security Development. ISSRE Song Wang, Nachiappan Nagappan
2021	J	`jnl`	ConE: A Concurrent Edit Detection Tool for Large ScaleSoftware Development. CoRR Chandra Shekhar Maddila, Nachiappan Nagappan, Christian Bird, Georgios Gousios, Arie van Deursen
2021	A	`conf`	Continuous Software Bug Prediction. ESEM Song Wang, Junjie Wang, Jaechang Nam, Nachiappan Nagappan
2021	A*	`conf`	DEVIATE: A Deep Learning Variance Testing Framework. ASE Hung Viet Pham, Mijung Kim, Lin Tan, Yaoliang Yu, Nachiappan Nagappan
2021	J	`jnl`	Large-scale intent analysis for identifying large-review-effort code changes. Inf. Softw. Technol. Song Wang, Chetan Bansal, Nachiappan Nagappan
2021	J	`jnl`	Moving from Closed to Open Source: Observations from Six Transitioned Projects to GitHub. IEEE Trans. Software Eng. Pavneet Singh Kochhar, Eirini Kalliamvakou, Nachiappan Nagappan, Thomas Zimmermann, Christian Bird
2021	—	`conf`	Neural Knowledge Extraction From Cloud Service Incidents. ICSE (SEIP) Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan, Thomas Zimmermann
2021	—	`conf`	The 4ps: product, process, people, and productivity: a data-driven approach to improve software engineering (keynote). ESEC/SIGSOFT FSE Nachiappan Nagappan
2020	J	`jnl`	A Deep Dive on the Impact of COVID-19 in Software Development. CoRR Paulo Anselmo da Mota Silveira Neto, Umme Ayda Mannan, Eduardo Santana de Almeida, Nachiappan Nagappan, David Lo, Pavneet Singh Kochhar, Cuiyun Gao, Iftekhar Ahmed
2020	J	`jnl`	A Tale of Two Cities: Software Developers Working from Home During the COVID-19 Pandemic. CoRR Denae Ford, Margaret-Anne D. Storey, Thomas Zimmermann, Christian Bird, Sonia Jaffe, Chandra Shekhar Maddila, Jenna L. Butler, Brian Houck, Nachiappan Nagappan
2020	A	`conf`	An Empirical Study of Software Exceptions in the Field using Search Logs. ESEM Foyzul Hassan, Chetan Bansal, Nachiappan Nagappan, Thomas Zimmermann, Ahmed Hassan Awadallah
2020	J	`jnl`	An Empirical Study of Software Exceptions in the Field using Search Logs. CoRR Foyzul Hassan, Chetan Bansal, Nachiappan Nagappan, Thomas Zimmermann, Ahmed Hassan Awadallah
2020	—	`conf`	Analyzing Web Search Behavior for Software Engineering Tasks. IEEE BigData Nikitha Rao, Chetan Bansal, Thomas Zimmermann, Ahmed Hassan Awadallah, Nachiappan Nagappan
2020	J	`jnl`	Feedback-driven semi-supervised synthesis of program transformations. Proc. ACM Program. Lang. Xiang Gao, Shraddha Barke, Arjun Radhakrishna, Gustavo Soares, Sumit Gulwani, Alan Leung, Nachiappan Nagappan, Ashish Tiwari
2020	J	`jnl`	Including Everyone, Everywhere: Understanding Opportunities and Challenges of Geographic Gender-Inclusion in OSS. CoRR Gede Artha Azriadi Prana, Denae Ford, Ayushi Rastogi, David Lo, Rahul Purandare, Nachiappan Nagappan
2020	J	`jnl`	Neural Knowledge Extraction From Cloud Service Incidents. CoRR Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan, Thomas Zimmermann
2020	J	`jnl`	Nudge: Accelerating Overdue Pull Requests Towards Completion. CoRR Chandra Shekhar Maddila, Sai Surya Upadrasta, Chetan Bansal, Nachiappan Nagappan, Georgios Gousios, Arie van Deursen
2020	A*	`conf`	Problems and Opportunities in Training Deep Learning Software Systems: An Analysis of Variance. ASE Hung Viet Pham, Shangshu Qian, Jiannan Wang, Thibaud Lutellier, Jonathan Rosenthal, Lin Tan, Yaoliang Yu, Nachiappan Nagappan
2020	A	`conf`	The State of the ML-universe: 10 Years of Artificial Intelligence & Machine Learning Software Development on GitHub. MSR Danielle Gonzalez, Thomas Zimmermann, Nachiappan Nagappan
2019	J	`jnl`	Analyzing Offline Social Engagements: An Empirical Study of Meetup Events Related to Software Development. CoRR Abhishek Sharma, Gede Artha Azriadi Prana, Anamika Sawhney, Nachiappan Nagappan, David Lo
2019	A*	`conf`	FastLane: test minimization for rapidly deployed large-scale online services. ICSE Adithya Abraham Philip, Ranjita Bhagwan, Rahul Kumar, Chandra Shekhar Maddila, Nachiappan Nagappan
2019	—	`conf`	Leveraging Change Intents for Characterizing and Identifying Large-Review-Effort Changes. PROMISE Song Wang, Chetan Bansal, Nachiappan Nagappan, Adithya Abraham Philip
2019	—	`conf`	Predicting pull request completion time: a case study on large scale cloud services. ESEC/SIGSOFT FSE Chandra Shekhar Maddila, Chetan Bansal, Nachiappan Nagappan
2019	—	`conf`	Software engineering for machine learning: a case study. ICSE (SEIP) Saleema Amershi, Andrew Begel, Christian Bird, Robert DeLine, Harald C. Gall, Ece Kamar, Nachiappan Nagappan, Besmira Nushi, Thomas Zimmermann
2019	J	`jnl`	The Usage of Web Search for Software Engineering. CoRR Chetan Bansal, Thomas Zimmermann, Ahmed Hassan Awadallah, Nachiappan Nagappan
2018	A	`conf`	Relationship between geographical location and evaluation of developer contributions in github. ESEM Ayushi Rastogi, Nachiappan Nagappan, Georgios Gousios, André van der Hoek
2017	A	`conf`	Characterizing Software Engineering Work with Personas Based on Knowledge Worker Actions. ESEM Denae Ford, Tom Zimmermann, Christian Bird, Nachiappan Nagappan
2017	J	`jnl`	Code Coverage and Postrelease Defects: A Large-Scale Study on Open Source Projects. IEEE Trans. Reliab. Pavneet Singh Kochhar, David Lo, Julia Lawall, Nachiappan Nagappan
2017	J	`jnl`	Master Maker: Understanding Gaming Skill Through Practice and Habit From Gameplay Behavior. Top. Cogn. Sci. Jeff Huang, Eddie Q. Yan, Gifford Cheung, Nachiappan Nagappan, Thomas Zimmermann
2017	—	`conf`	Ramp-up Journey of New Hires: Do strategic practices of software companies influence productivity? ISEC Ayushi Rastogi, Suresh Thummalapenta, Thomas Zimmermann, Nachiappan Nagappan, Jacek Czerwonka
2016	A	`conf`	Forking and the Sustainability of the Developer Community Participation - An Empirical Investigation on Outcomes and Reasons. SANER Ayushi Rastogi, Nachiappan Nagappan
2016	J	`jnl`	HYDRA: Massively Compositional Model for Cross-Project Defect Prediction. IEEE Trans. Software Eng. Xin Xia, David Lo, Sinno Jialin Pan, Nachiappan Nagappan, Xinyu Wang
2016	A	`conf`	On the Personality Traits of GitHub Contributors. ISSRE Ayushi Rastogi, Nachiappan Nagappan
2015	J	`jnl`	Do topics make sense to managers and developers? Empir. Softw. Eng. Abram Hindle, Christian Bird, Thomas Zimmermann, Nachiappan Nagappan
2015	—	`conf`	Empirically Detecting False Test Alarms Using Association Rules. ICSE (2) Kim Herzig, Nachiappan Nagappan
2015	—	`conf`	How practitioners perceive the relevance of software engineering research. ESEC/SIGSOFT FSE David Lo, Nachiappan Nagappan, Thomas Zimmermann
2015	A	`conf`	Ramp-Up Journey of New Hires: Tug of War of Aids and Impediments. ESEM Ayushi Rastogi, Suresh Thummalapenta, Thomas Zimmermann, Nachiappan Nagappan, Jacek Czerwonka
2015	J	`jnl`	The Design Space of Bug Fixes and How Developers Navigate It. IEEE Trans. Software Eng. Emerson R. Murphy-Hill, Thomas Zimmermann, Christian Bird, Nachiappan Nagappan
2015	—	`conf`	The Impact of Test Ownership and Team Structure on the Reliability, Effectiveness of Quality Test Runs. Software Engineering & Management Kim Herzig, Nachiappan Nagappan
2015	A	`conf`	The Uniqueness of Changes: Characteristics and Applications. MSR Baishakhi Ray, Meiyappan Nagappan, Christian Bird, Nachiappan Nagappan, Thomas Zimmermann
2015	A	`conf`	Understanding the Test Automation Culture of App Developers. ICST Pavneet Singh Kochhar, Ferdian Thung, Nachiappan Nagappan, Thomas Zimmermann, David Lo
2015	Misc	`conf`	What Drives People: Creating Engagement Profiles of Players from Game Log Data. CHI PLAY Erik Harpstead, Thomas Zimmermann, Nachiappan Nagappan, Jose J. Guajardo, Ryan Cooper, Tyson Solberg, Dan Greenawalt
2014	J	`jnl`	An Empirical Study of RefactoringChallenges and Benefits at Microsoft. IEEE Trans. Software Eng. Miryung Kim, Thomas Zimmermann, Nachiappan Nagappan
2014	A*	`conf`	Cowboys, ankle sprains, and keepers of quality: how is video game development different from software development? ICSE Emerson R. Murphy-Hill, Thomas Zimmermann, Nachiappan Nagappan
2014	—	`conf`	Extrinsic influence factors in software reliability: a study of 200, 000 windows machines. ICSE Companion Christian Bird, Venkatesh-Prasad Ranganath, Thomas Zimmermann, Nachiappan Nagappan, Andreas Zeller
2014	A	`conf`	Mining energy traces to aid in software development: an empirical case study. ESEM Ashish Gupta, Thomas Zimmermann, Christian Bird, Nachiappan Nagappan, Thirumalesh Bhat, Syed Emran
2014	C	`conf`	Off with their assists: An empirical study of driving skill in Forza Motorsport 4. FDG Thomas Debeauvais, Thomas Zimmermann, Nachiappan Nagappan, Kevin Carter, Ryan Cooper, Dan Greenawalt, Tyson Solberg
2014	C	`conf`	Software Analytics for Digital Games. Software Engineering Thomas Zimmermann, Nachiappan Nagappan
2014	Misc	`conf`	The first hour experience: how the initial play can engage (or lose) new players. CHI PLAY Gifford K. Cheung, Thomas Zimmermann, Nachiappan Nagappan
2014	A	`conf`	The impact of test ownership and team structure on the reliability and effectiveness of quality test runs. ESEM Kim Herzig, Nachiappan Nagappan
2014	A*	`conf`	Transition from centralized to decentralized version control systems: a case study on reasons, barriers, and outcomes. ICSE Kivanç Muslu, Christian Bird, Nachiappan Nagappan, Jacek Czerwonka
2013	A*	`conf`	1st international workshop on the engineering of mobile-enabled systems (MOBS 2013). ICSE Grace A. Lewis, Jeff Gray, Henry Muccini, Nachiappan Nagappan, David S. Rosenblum, Emad Shihab
2013	—	`ed.`	6th India Software Engineering Conference, ISEC '13, New Delhi, India - February 21 - 23, 2013 ISEC Sugata Ghosal, Gautam Shroff, Satish Chandra, Nachiappan Nagappan
2013	J	`jnl`	CODEMINE: Building a Software Development Data Analytics Platform at Microsoft. IEEE Softw. Jacek Czerwonka, Nachiappan Nagappan, Wolfram Schulte, Brendan Murphy
2013	A*	`conf`	Distributed development considered harmful? ICSE Ekrem Kocaguneli, Thomas Zimmermann, Christian Bird, Nachiappan Nagappan, Tim Menzies
2013	A	`conf`	Have Agile Techniques been the Silver Bullet for Software Development at Microsoft? ESEM Brendan Murphy, Christian Bird, Thomas Zimmermann, Laurie A. Williams, Nachiappan Nagappan, Andrew Begel
2013	A*	`conf`	Mastering the art of war: how patterns of gameplay influence skill in Halo. CHI Jeff Huang, Thomas Zimmermann, Nachiappan Nagappan, Charles Harrison, Bruce C. Phillips
2013	A	`conf`	Predicting risk of pre-release code changes with Checkinmentor. ISSRE Alexander Tarvo, Nachiappan Nagappan, Thomas Zimmermann
2013	J	`jnl`	Report of the 2013 ICSE 1st international workshop on engineering mobile-enabled systems (MOBS 2013): 12. ACM SIGSOFT Softw. Eng. Notes Grace A. Lewis, Nachiappan Nagappan, Jeff Gray, David S. Rosenblum, Henry Muccini, Emad Shihab
2013	A*	`conf`	The design of bug fixes. ICSE Emerson R. Murphy-Hill, Thomas Zimmermann, Christian Bird, Nachiappan Nagappan
2012	—	`conf`	A field study of refactoring challenges and benefits. SIGSOFT FSE Miryung Kim, Thomas Zimmermann, Nachiappan Nagappan
2012	A	`conf`	Application of kusumoto cost-metric to evaluate the cost effectiveness of software inspections. ESEM Narendar Mandala, Gursimran Singh Walia, Jeffrey C. Carver, Nachiappan Nagappan
2012	A*	`conf`	Characterizing and predicting which bugs get reopened. ICSE Thomas Zimmermann, Nachiappan Nagappan, Philip J. Guo, Brendan Murphy
2012	A	`conf`	Empirical analysis of user data in game software development. ESEM Kenneth Hullett, Nachiappan Nagappan, Eric Schuh, John Hopson
2012	—	`conf`	Relating requirements to implementation via topic analysis: Do topics extracted from requirements make sense to managers and developers? ICSM Abram Hindle, Christian Bird, Thomas Zimmermann, Nachiappan Nagappan
2012	A	`conf`	Who? Where? What? Examining distributed development in two large open source projects. MSR Christian Bird, Nachiappan Nagappan
2011	A	`conf`	"Not my bug!" and other reasons for software bug report reassignments. CSCW Philip J. Guo, Thomas Zimmermann, Nachiappan Nagappan, Brendan Murphy
2011	A	`conf`	An Empirical Study on the Relation between Dependency Neighborhoods and Failures. ICST Thomas Zimmermann, Nachiappan Nagappan, Kim Herzig, Rahul Premraj, Laurie A. Williams
2011	A	`conf`	CRANE: Failure Prediction, Change Analysis and Test Prioritization in Practice - Experiences from Windows. ICST Jacek Czerwonka, Rajiv Das, Nachiappan Nagappan, Alex Tarvo, Alex Teterev
2011	A*	`conf`	Characterizing the differences between pre- and post- release versions of software. ICSE Paul Luo Li, Ryan Kivett, Zhiyuan Zhan, Sung-eok Jeon, Nachiappan Nagappan, Brendan Murphy, Amy J. Ko
2011	A	`conf`	Crash graphs: An aggregated view of multiple crashes to improve crash triage. DSN Sunghun Kim, Thomas Zimmermann, Nachiappan Nagappan
2011	A*	`conf`	Data analytics for game development. ICSE Kenneth Hullett, Nachiappan Nagappan, Eric Schuh, John Hopson
2011	—	`conf`	Don't touch my code!: examining the effects of ownership on software quality. SIGSOFT FSE Christian Bird, Nachiappan Nagappan, Brendan Murphy, Harald C. Gall, Premkumar T. Devanbu
2011	A	`conf`	Empirical software engineering at Microsoft Research. CSCW Christian Bird, Brendan Murphy, Nachiappan Nagappan, Thomas Zimmermann
2011	—	`ch.`	Evidence-Based Failure Prediction. Making Software Nachiappan Nagappan, Thomas Ball
2011	A	`conf`	Scrum + Engineering Practices: Experiences of Three Microsoft Teams. ESEM Laurie A. Williams, Gabe Brown, Adam Meltzer, Nachiappan Nagappan
2011	A*	`conf`	Understanding network failures in data centers: measurement, analysis, and implications. SIGCOMM Phillipa Gill, Navendu Jain, Nachiappan Nagappan
2010	A	`conf`	Change Bursts as Defect Predictors. ISSRE Nachiappan Nagappan, Andreas Zeller, Thomas Zimmermann, Kim Herzig, Brendan Murphy
2010	—	`conf`	Characterizing and predicting which bugs get fixed: an empirical study of Microsoft Windows. ICSE (1) Philip J. Guo, Thomas Zimmermann, Nachiappan Nagappan, Brendan Murphy
2010	—	`conf`	Characterizing cloud computing hardware reliability. SoCC Kashi Venkatesh Vishwanath, Nachiappan Nagappan
2010	—	`conf`	Myths in Software Engineering: From the Other Side. TAP@TOOLS Nachiappan Nagappan
2010	A	`ed.`	Proceedings of the International Symposium on Empirical Software Engineering and Measurement, ESEM 2010, 16-17 September 2010, Bolzano/Bozen, Italy ESEM Giancarlo Succi, Maurizio Morisio, Nachiappan Nagappan
2010	J	`jnl`	Profiling the operational behavior of OS device drivers. Empir. Softw. Eng. Constantin Sârbu, Andréas Johansson, Neeraj Suri, Nachiappan Nagappan
2010	A	`conf`	Searching for a Needle in a Haystack: Predicting Security Vulnerabilities for Windows Vista. ICST Thomas Zimmermann, Nachiappan Nagappan, Laurie A. Williams
2009	B	`conf`	Coordination in large-scale software teams. CHASE Andrew Begel, Nachiappan Nagappan, Christopher Poile, Lucas Layman
2009	—	`conf`	Cross-project defect prediction: a large scale experiment on data vs. domain vs. process. ESEC/SIGSOFT FSE Thomas Zimmermann, Nachiappan Nagappan, Harald C. Gall, Emanuel Giger, Brendan Murphy
2009	A*	`conf`	Does distributed development affect software quality? An empirical case study of Windows Vista. ICSE Christian Bird, Nachiappan Nagappan, Premkumar T. Devanbu, Harald C. Gall, Brendan Murphy
2009	J	`jnl`	Does distributed development affect software quality?: an empirical case study of Windows Vista. Commun. ACM Christian Bird, Nachiappan Nagappan, Premkumar T. Devanbu, Harald C. Gall, Brendan Murphy
2009	J	`jnl`	Guest Editors' Introduction: Mining Software Archives. IEEE Softw. Nachiappan Nagappan, Andreas Zeller, Thomas Zimmermann
2009	A	`conf`	On the Effectiveness of Unit Test Automation at Microsoft. ISSRE Laurie A. Williams, Gunnar Kudrjavets, Nachiappan Nagappan
2009	A	`conf`	Predicting defects with program dependencies. ESEM Thomas Zimmermann, Nachiappan Nagappan
2009	A	`conf`	Putting It All Together: Using Socio-technical Networks to Predict Failures. ISSRE Christian Bird, Nachiappan Nagappan, Harald C. Gall, Brendan Murphy, Premkumar T. Devanbu
2009	A	`conf`	Test coverage and post-verification defects: A multiple case study. ESEM Audris Mockus, Nachiappan Nagappan, Trung T. Dinh-Trong
2008	—	`conf`	Can developer-module networks predict failures? SIGSOFT FSE Martin Pinzger, Nachiappan Nagappan, Brendan Murphy
2008	A	`conf`	DEFECTS 2008: international workshop on defects in large software systems. ISSTA Premkumar T. Devanbu, Brendan Murphy, Nachiappan Nagappan, Thomas Zimmermann, Valentin Dallmeier
2008	J	`jnl`	Do Crosscutting Concerns Cause Defects? IEEE Trans. Software Eng. Marc Eaddy, Thomas Zimmermann, Kaitin D. Sherwood, Vibhav Garg, Gail C. Murphy, Nachiappan Nagappan, Alfred V. Aho
2008	C	`conf`	Global Software Development: Who Does It? ICGSE Andrew Begel, Nachiappan Nagappan
2008	C	`conf`	Global Software Servicing: Observational Experiences at Microsoft. ICGSE Shilpa Bugde, Nachiappan Nagappan, Sriram K. Rajamani, G. Ramalingam
2008	A	`conf`	Iterative identification of fault-prone binaries using in-process metrics. ESEM Lucas Layman, Gunnar Kudrjavets, Nachiappan Nagappan
2008	A	`conf`	Mining software effort data: preliminary analysis of visual studio team system data. MSR Lucas Layman, Nachiappan Nagappan, Sam Guckenheimer, Jeff Beehler, Andrew Begel
2008	A	`conf`	Pair programming: what's in it for me? ESEM Andrew Begel, Nachiappan Nagappan
2008	—	`ch.`	Predicting Bugs from History. Software Evolution Thomas Zimmermann, Nachiappan Nagappan, Andreas Zeller
2008	A*	`conf`	Predicting defects using network analysis on dependency graphs. ICSE Thomas Zimmermann, Nachiappan Nagappan
2008	—	`ed.`	Proceedings of the 2008 Workshop on Defects in Large Software Systems, held in conjunction with the ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2008), DEFECTS 2008, Seattle, Washington, USA, July 20, 2008 DEFECTS Premkumar T. Devanbu, Brendan Murphy, Nachiappan Nagappan, Thomas Zimmermann
2008	A	`conf`	Profiling the Operational Behavior of OS Device Drivers. ISSRE Constantin Sârbu, Andréas Johansson, Neeraj Suri, Nachiappan Nagappan
2008	J	`jnl`	Realizing quality improvement through test driven development: results and experiences of four industrial teams. Empir. Softw. Eng. Nachiappan Nagappan, E. Michael Maximilien, Thirumalesh Bhat, Laurie A. Williams
2008	A	`conf`	Tempest: Towards early identification of failure-prone binaries. DSN Thirumalesh Bhat, Nachiappan Nagappan
2008	J	`jnl`	The Impact of Educational Background on the Effectiveness of Requirements Inspections: An Empirical Study. IEEE Trans. Software Eng. Jeffrey C. Carver, Nachiappan Nagappan, Alan Page
2008	A*	`conf`	The effect of the number of inspectors on the defect estimates produced by capture-recapture models. ICSE Gursimran Singh Walia, Jeffrey C. Carver, Nachiappan Nagappan
2008	A*	`conf`	The influence of organizational structure on software quality: an empirical case study. ICSE Nachiappan Nagappan, Brendan Murphy, Victor R. Basili
2007	A	`conf`	Predicting Subsystem Failures using Dependency Graph Complexities. ISSRE Thomas Zimmermann, Nachiappan Nagappan
2007	A	`conf`	Usage and Perceptions of Agile Software Development in an Industrial Context: An Exploratory Study. ESEM Andrew Begel, Nachiappan Nagappan
2007	A	`conf`	Using In-Process Testing Metrics to Estimate Post-Release Field Quality. ISSRE Nachiappan Nagappan, Laurie A. Williams, Mladen A. Vouk, Jason A. Osborne
2007	A	`conf`	Using Software Dependencies and Churn Metrics to Predict Field Failures: An Empirical Case Study. ESEM Nachiappan Nagappan, Thomas Ball
2006	A	`conf`	Assessing the Relationship between Software Assertions and Faults: An Empirical Investigation. ISSRE Gunnar Kudrjavets, Nachiappan Nagappan, Thomas Ball
2006	C	`conf`	Building Scalable Failure-proneness Models Using Complexity Metrics for Large Scale Software Systems. APSEC Thirumalesh Bhat, Nachiappan Nagappan
2006	—	`conf`	Empirical Case Studies in Industry: Some Thoughts. Empirical Software Engineering Issues Nachiappan Nagappan
2006	—	`conf`	Evaluating the efficacy of test-driven development: industrial case studies. ISESE Thirumalesh Bhat, Nachiappan Nagappan
2006	A*	`conf`	Mining metrics to predict component failures. ICSE Nachiappan Nagappan, Thomas Ball, Andreas Zeller
2006	J	`jnl`	On the Value of Static Analysis for Fault Detection in Software. IEEE Trans. Software Eng. Jiang Zheng, Laurie A. Williams, Nachiappan Nagappan, Will Snipes, John P. Hudepohl, Mladen A. Vouk
2006	—	`conf`	Potential of Open Source Systems as Project Repositories for Empirical Studies Empirical Software Engineering Issues Nachiappan Nagappan
2006	A	`conf`	Using Historical In-Process and Product Metrics for Early Estimation of Software Failures. ISSRE Nachiappan Nagappan, Thomas Ball, Brendan Murphy
2005	—	`conf`	Early estimation of defect density using an in-process Haskell metrics model. A-MOST Mark Sherriff, Nachiappan Nagappan, Laurie A. Williams, Mladen A. Vouk
2005	J	`jnl`	Early estimation of defect density using an in-process Haskell metrics model. ACM SIGSOFT Softw. Eng. Notes Mark Sherriff, Nachiappan Nagappan, Laurie A. Williams, Mladen A. Vouk
2005	—	`conf`	Early estimation of software quality using in-process testing metrics: a controlled case study. WoSQ@ICSE Nachiappan Nagappan, Laurie A. Williams, Mladen A. Vouk, Jason A. Osborne
2005	J	`jnl`	Early estimation of software quality using in-process testing metrics: a controlled case study. ACM SIGSOFT Softw. Eng. Notes Nachiappan Nagappan, Laurie A. Williams, Mladen A. Vouk, Jason A. Osborne
2005	A	`conf`	Providing Test Quality Feedback Using Static Source Code and Automatic Test Suite Metrics. ISSRE Nachiappan Nagappan, Laurie A. Williams, Jason A. Osborne, Mladen A. Vouk, Pekka Abrahamsson
2005	A*	`conf`	Static analysis tools as early indicators of pre-release defect density. ICSE Nachiappan Nagappan, Thomas Ball
2005	A*	`conf`	Use of relative code churn measures to predict system defect density. ICSE Nachiappan Nagappan, Thomas Ball
2004	A	`conf`	GERT: An Empirical Reliability Estimation and Testing Feedback Tool. ISSRE Martin Davidsson, Jiang Zheng, Nachiappan Nagappan, Laurie A. Williams, Mladen A. Vouk
2004	A	`conf`	Preliminary Results On Using Static Analysis Tools For Software Inspection. ISSRE Nachiappan Nagappan, Laurie A. Williams, John P. Hudepohl, Will Snipes, Mladen A. Vouk
2004	A*	`conf`	Toward a Software Testing and Reliability Early Warning Metric Suite. ICSE Nachiappan Nagappan
2003	—	`conf`	"Good enough" software reliability estimation plug-in for Eclipse. eTX Nachiappan Nagappan, Laurie A. Williams, Mladen A. Vouk
2003	—	`conf`	Building Pair Programming Knowledge through a Family of Experiments. ISESE Laurie A. Williams, Charlie McDowell, Nachiappan Nagappan, Julian Fernald, Linda L. Werner
2003	A	`conf`	Improving the CS1 experience with pair programming. SIGCSE Nachiappan Nagappan, Laurie A. Williams, Miriam Ferzli, Eric N. Wiebe, Kai Yang, Carol Miller, Suzanne Balik
2003	—	`conf`	Pair Learning: With an Eye Toward Future Success. XP/Agile Universe Nachiappan Nagappan, Laurie A. Williams, Eric N. Wiebe, Carol Miller, Suzanne Balik, Miriam Ferzli, Julie Petlick
2003	—	`conf`	Virtual Teaming: Experiments and Experiences with Distributed Pair Programming. XP/Agile Universe P. David Stotts, Laurie A. Williams, Nachiappan Nagappan, Prashant Baheti, Dennis Jen, Anne Jackson