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ORCIDNachiappan Nagappan
Nachi Nagappan
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- affiliation: Facebook
- affiliation (former): Microsoft Research, Redmond, WA
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2020 – today
- 2025
[j29]Nima Shiri Harzevili, Alvine Boaye Belle, Junjie Wang, Song Wang, Zhen Ming (Jack) Jiang, Nachiappan Nagappan:
A Systematic Literature Review on Automated Software Vulnerability Detection Using Machine Learning. ACM Comput. Surv. 57(3): 55:1-55:36 (2025)- 2024
- [j28]Vijayaraghavan Murali
, Chandra Shekhar Maddila, Imad Ahmad, Michael Bolin, Daniel Cheng, Negar Ghorbani, Renuka Fernandez, Nachiappan Nagappan, Peter C. Rigby:
AI-Assisted Code Authoring at Scale: Fine-Tuning, Deploying, and Mixed Methods Evaluation. Proc. ACM Softw. Eng. 1(FSE): 1066-1085 (2024) - [j27]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:
Scoping Software Engineering for AI: The TSE Perspective. IEEE Trans. Software Eng. 50(11): 2709-2711 (2024) - [c130]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:
Multi-line AI-Assisted Code Authoring. SIGSOFT FSE Companion 2024: 150-160 - [i30]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:
Multi-line AI-assisted Code Authoring. CoRR abs/2402.04141 (2024) - [i29]Rui Abreu, Vijayaraghavan Murali, Peter C. Rigby, Chandra Shekhar Maddila, Weiyan Sun, Jun Ge, Kaavya Chinniah, Audris Mockus, Megh Mehta, Nachiappan Nagappan:
Moving Faster and Reducing Risk: Using LLMs in Release Deployment. CoRR abs/2410.06351 (2024) - [i28]Nima Shiri Harzevili, Mohammad Mahdi Mohajer, Jiho Shin, Moshi Wei, Gias Uddin, Jinqiu Yang, Junjie Wang, Song Wang, Zhen Ming Jiang, Nachiappan Nagappan:
Checker Bug Detection and Repair in Deep Learning Libraries. CoRR abs/2410.06440 (2024) - 2023
- [j26]Chandra Shekhar Maddila, Sai Surya Upadrasta, Chetan Bansal, Nachiappan Nagappan, Georgios Gousios, Arie van Deursen:
Nudge: Accelerating Overdue Pull Requests toward Completion. ACM Trans. Softw. Eng. Methodol. 32(2): 35:1-35:30 (2023) - [c129]Gunnar Kudrjavets, Ayushi Rastogi, Jeff Thomas, Nachiappan Nagappan:
Who Ate My Memory? Towards Attribution in Memory Management. ICSE-SEIP 2023: 381-383 - [c128]Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang, Nachiappan Nagappan:
Automatic Static Vulnerability Detection for Machine Learning Libraries: Are We There Yet? ISSRE 2023: 795-806 - [c127]Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang, Nachiappan Nagappan:
Characterizing and Understanding Software Security Vulnerabilities in Machine Learning Libraries. MSR 2023: 27-38 - [c126]Gunnar Kudrjavets, Nachiappan Nagappan, Ayushi Rastogi:
Are We Speeding Up or Slowing Down? On Temporal Aspects of Code Velocity. MSR 2023: 267-271 - [c125]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:
Dead Code Removal at Meta: Automatically Deleting Millions of Lines of Code and Petabytes of Deprecated Data. ESEC/SIGSOFT FSE 2023: 1705-1715 - [c124]Audris Mockus, Peter C. Rigby, Rui Abreu, Parth Suresh, Yifen Chen, Nachiappan Nagappan:
Modeling the Centrality of Developer Output with Software Supply Chains. ESEC/SIGSOFT FSE 2023: 1809-1819 - [i27]Gunnar Kudrjavets, Nachiappan Nagappan, Ayushi Rastogi:
Are We Speeding Up or Slowing Down? On Temporal Aspects of Code Velocity. CoRR abs/2303.04293 (2023) - [i26]Vijayaraghavan Murali, Chandra Shekhar Maddila, Imad Ahmad, Michael Bolin, Daniel Cheng, Negar Ghorbani, Renuka Fernandez, Nachiappan Nagappan:
CodeCompose: A Large-Scale Industrial Deployment of AI-assisted Code Authoring. CoRR abs/2305.12050 (2023) - [i25]Nima Shiri Harzevili, Alvine Boaye Belle, Junjie Wang, Song Wang, Zhen Ming Jiang, Nachiappan Nagappan:
A Survey on Automated Software Vulnerability Detection Using Machine Learning and Deep Learning. CoRR abs/2306.11673 (2023) - [i24]Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang, Nachiappan Nagappan:
Automatic Static Bug Detection for Machine Learning Libraries: Are We There Yet? CoRR abs/2307.04080 (2023) - [i23]Peter C. Rigby, Seth Rogers, Sadruddin Saleem, Parth Suresh, Daniel Suskin, Patrick Riggs, Chandra Shekhar Maddila, Nachiappan Nagappan:
Improving Code Reviewer Recommendation: Accuracy, Latency, Workload, and Bystanders. CoRR abs/2312.17169 (2023) - 2022
- [j25]Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan:
SoftNER: Mining knowledge graphs from cloud incidents. Empir. Softw. Eng. 27(4): 93 (2022) - [j24]Chandra Shekhar Maddila, Nachiappan Nagappan, Christian Bird, Georgios Gousios, Arie van Deursen:
ConE: A Concurrent Edit Detection Tool for Large-scale Software Development. ACM Trans. Softw. Eng. Methodol. 31(2): 22:1-22:26 (2022) - [j23]Denae Ford, Margaret-Anne D. Storey, Thomas Zimmermann, Christian Bird, Sonia Jaffe, Chandra Shekhar Maddila, Jenna L. Butler, Brian Houck, Nachiappan Nagappan:
A Tale of Two Cities: Software Developers Working from Home during the COVID-19 Pandemic. ACM Trans. Softw. Eng. Methodol. 31(2): 27:1-27:37 (2022) - [j22]Paulo Anselmo da Mota Silveira Neto, Umme Ayda Mannan, Eduardo Santana de Almeida, Nachiappan Nagappan, David Lo, Pavneet Singh Kochhar, Cuiyun Gao, Iftekhar Ahmed:
A Deep Dive into the Impact of COVID-19 on Software Development. IEEE Trans. Software Eng. 48(9): 3342-3360 (2022) - [j21]Gede Artha Azriadi Prana, Denae Ford, Ayushi Rastogi, David Lo, Rahul Purandare, Nachiappan Nagappan:
Including Everyone, Everywhere: Understanding Opportunities and Challenges of Geographic Gender-Inclusion in OSS. IEEE Trans. Software Eng. 48(9): 3394-3409 (2022) - [c123]Gunnar Kudrjavets, Jeff Thomas, Nachiappan Nagappan:
The Evolving Landscape of Software Performance Engineering. EASE 2022: 260-261 - [c122]Dhia Elhaq Rzig, Foyzul Hassan, Chetan Bansal, Nachiappan Nagappan:
Characterizing the Usage of CI Tools in ML Projects. ESEM 2022: 69-79 - [c121]Gunnar Kudrjavets, Aditya Kumar, Nachiappan Nagappan, Ayushi Rastogi:
The Unexplored Terrain of Compiler Warnings. ICSE (SEIP) 2022: 283-284 - [c120]Gunnar Kudrjavets, Jeff Thomas, Nachiappan Nagappan, Ayushi Rastogi:
Is Kernel Code Different From Non-Kernel Code? A Case Study of BSD Family Operating Systems. ICSME 2022: 211-222 - [c119]Gunnar Kudrjavets, Ayushi Rastogi, Jeff Thomas, Nachiappan Nagappan:
On Quantifying the Benefits of Dead Code Removal. ICSME 2022: 563 - [c118]Noah Lee, Rui Abreu, Mehmet Yatbaz, Hang Qu, Nachiappan Nagappan:
The Engineering Implications of Code Maintenance in Practice. ICSME 2022: 568-577 - [c117]Gunnar Kudrjavets, Jeff Thomas, Aditya Kumar, Nachiappan Nagappan, Ayushi Rastogi:
There Ain't No Such Thing as a Free Custom Memory Allocator. ICSME 2022: 578-581 - [c116]Gunnar Kudrjavets, Jeff Thomas, Aditya Kumar, Nachiappan Nagappan, Ayushi Rastogi:
When malloc() Never Returns NULL - Reliability as an Illusion. ISSRE Workshops 2022: 31-36 - [c115]Noah Lee, Rui Abreu, Nachiappan Nagappan:
Code Quality Prediction Under Super Extreme Class Imbalance. ISSRE Workshops 2022: 99-104 - [c114]Gunnar Kudrjavets, Jeff Thomas, Aditya Kumar, Nachiappan Nagappan, Ayushi Rastogi:
Quantifying Daily Evolution of Mobile Software Based on Memory Allocator Churn. MOBILESoft 2022: 28-32 - [c113]Gunnar Kudrjavets, Nachiappan Nagappan, Ayushi Rastogi:
The Unexplored Treasure Trove of Phabricator Code Reviews. MSR 2022: 343-347 - [c112]Gunnar Kudrjavets, Nachiappan Nagappan, Ayushi Rastogi:
Do Small Code Changes Merge Faster? A Multi-Language Empirical Investigation. MSR 2022: 537-548 - [c111]Gunnar Kudrjavets, Aditya Kumar, Nachiappan Nagappan, Ayushi Rastogi:
Mining Code Review Data to Understand Waiting Times Between Acceptance and Merging: An Empirical Analysis. MSR 2022: 579-590 - [c110]Qianhua Shan, David Sukhdeo, Qianying Huang, Seth Rogers, Lawrence Chen, Elise Paradis, Peter C. Rigby, Nachiappan Nagappan:
Using nudges to accelerate code reviews at scale. ESEC/SIGSOFT FSE 2022: 472-482 - [c109]Lawrence Chen, Peter C. Rigby, Nachiappan Nagappan:
Understanding why we cannot model how long a code review will take: an industrial case study. ESEC/SIGSOFT FSE 2022: 1314-1319 - [c108]Lawrence Chen, Rui Abreu, Tobi Akomolede, Peter C. Rigby, Satish Chandra, Nachiappan Nagappan:
Leveraging test plan quality to improve code review efficacy. ESEC/SIGSOFT FSE 2022: 1320-1330 - [c107]Yifen Chen, Peter C. Rigby, Yulin Chen, Kun Jiang, Nader Dehghani, Qianying Huang, Peter Cottle, Clayton Andrews, Noah Lee, Nachiappan Nagappan:
Workgraph: personal focus vs. interruption for engineers at Meta. ESEC/SIGSOFT FSE 2022: 1390-1397 - [c106]Abhishek Sharma, Gede Artha Azriadi Prana, Anamika Sawhney, Nachiappan Nagappan, David Lo:
Analyzing Offline Social Engagements: An Empirical Study of Meetup Events Related to Software Development. SANER 2022: 1122-1133 - [i22]Gunnar Kudrjavets, Aditya Kumar, Nachiappan Nagappan, Ayushi Rastogi:
The Unexplored Terrain of Compiler Warnings. CoRR abs/2201.10599 (2022) - [i21]Jiri Gesi, Siqi Liu, Jiawei Li, Iftekhar Ahmed, Nachiappan Nagappan, David Lo, Eduardo Santana de Almeida, Pavneet Singh Kochhar, Lingfeng Bao:
Code Smells in Machine Learning Systems. CoRR abs/2203.00803 (2022) - [i20]Gunnar Kudrjavets, Jeff Thomas, Aditya Kumar, Nachiappan Nagappan, Ayushi Rastogi:
Quantifying Daily Evolution of Mobile Software Based on Memory Allocator Churn. CoRR abs/2203.04394 (2022) - [i19]Gunnar Kudrjavets, Nachiappan Nagappan, Ayushi Rastogi:
Do Small Code Changes Merge Faster? A Multi-Language Empirical Investigation. CoRR abs/2203.05045 (2022) - [i18]Gunnar Kudrjavets, Aditya Kumar, Nachiappan Nagappan, Ayushi Rastogi:
Mining Code Review Data to Understand Waiting Times Between Acceptance and Merging: An Empirical Analysis. CoRR abs/2203.05048 (2022) - [i17]Gunnar Kudrjavets, Nachiappan Nagappan, Ayushi Rastogi:
The Unexplored Treasure Trove of Phabricator Code Review. CoRR abs/2203.07473 (2022) - [i16]Gunnar Kudrjavets, Jeff Thomas, Nachiappan Nagappan:
The Evolving Landscape of Software Performance Engineering. CoRR abs/2205.02950 (2022) - [i15]Gunnar Kudrjavets, Jeff Thomas, Nachiappan Nagappan, Ayushi Rastogi:
Is Kernel Code Different From Non-Kernel Code? A Case Study of BSD Family Operating Systems. CoRR abs/2206.05616 (2022) - [i14]Gunnar Kudrjavets, Jeff Thomas, Aditya Kumar, Nachiappan Nagappan, Ayushi Rastogi:
There Ain't No Such Thing as a Free Custom Memory Allocator. CoRR abs/2206.11728 (2022) - [i13]Gunnar Kudrjavets, Jeff Thomas, Aditya Kumar, Nachiappan Nagappan, Ayushi Rastogi:
When malloc() Never Returns NULL - Reliability as an Illusion. CoRR abs/2208.08484 (2022) - [i12]Gunnar Kudrjavets, Ayushi Rastogi, Jeff Thomas, Nachiappan Nagappan:
Who Ate My Memory? Towards Attribution in Memory Management. CoRR abs/2212.11866 (2022) - 2021
- [j20]Song Wang, Chetan Bansal, Nachiappan Nagappan:
Large-scale intent analysis for identifying large-review-effort code changes. Inf. Softw. Technol. 130: 106408 (2021) - [j19]Pavneet Singh Kochhar, Eirini Kalliamvakou, Nachiappan Nagappan, Thomas Zimmermann, Christian Bird:
Moving from Closed to Open Source: Observations from Six Transitioned Projects to GitHub. IEEE Trans. Software Eng. 47(9): 1838-1856 (2021) - [c105]Song Wang, Junjie Wang, Jaechang Nam, Nachiappan Nagappan:
Continuous Software Bug Prediction. ESEM 2021: 14:1-14:12 - [c104]Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan, Thomas Zimmermann:
Neural Knowledge Extraction From Cloud Service Incidents. ICSE (SEIP) 2021: 218-227 - [c103]Rangeet Pan, Vu Le, Nachiappan Nagappan, Sumit Gulwani, Shuvendu K. Lahiri, Mike Kaufman:
Can Program Synthesis be Used to Learn Merge Conflict Resolutions? An Empirical Analysis. ICSE 2021: 785-796 - [c102]Song Wang, Nishtha Shrestha, Abarna Kucheri Subburaman, Junjie Wang, Moshi Wei, Nachiappan Nagappan:
Automatic Unit Test Generation for Machine Learning Libraries: How Far Are We? ICSE 2021: 1548-1560 - [c101]Song Wang, Nachiappan Nagappan:
Characterizing and Understanding Software Developer Networks in Security Development. ISSRE 2021: 534-545 - [c100]Hung Viet Pham, Mijung Kim, Lin Tan, Yaoliang Yu, Nachiappan Nagappan:
DEVIATE: A Deep Learning Variance Testing Framework. ASE 2021: 1286-1290 - [c99]Nachiappan Nagappan:
The 4ps: product, process, people, and productivity: a data-driven approach to improve software engineering (keynote). ESEC/SIGSOFT FSE 2021: 3 - [i11]Chandra Shekhar Maddila, Nachiappan Nagappan, Christian Bird, Georgios Gousios, Arie van Deursen:
ConE: A Concurrent Edit Detection Tool for Large ScaleSoftware Development. CoRR abs/2101.06542 (2021) - [i10]Rangeet Pan, Vu Le, Nachiappan Nagappan, Sumit Gulwani, Shuvendu K. Lahiri, Mike Kaufman:
Can Program Synthesis be Used to Learn Merge Conflict Resolutions? An Empirical Analysis. CoRR abs/2103.02004 (2021) - 2020
- [j18]Xiang Gao, Shraddha Barke, Arjun Radhakrishna, Gustavo Soares, Sumit Gulwani, Alan Leung, Nachiappan Nagappan, Ashish Tiwari:
Feedback-driven semi-supervised synthesis of program transformations. Proc. ACM Program. Lang. 4(OOPSLA): 219:1-219:30 (2020) - [c98]Nikitha Rao, Chetan Bansal, Thomas Zimmermann, Ahmed Hassan Awadallah, Nachiappan Nagappan:
Analyzing Web Search Behavior for Software Engineering Tasks. IEEE BigData 2020: 768-777 - [c97]Foyzul Hassan, Chetan Bansal, Nachiappan Nagappan, Thomas Zimmermann, Ahmed Hassan Awadallah:
An Empirical Study of Software Exceptions in the Field using Search Logs. ESEM 2020: 4:1-4:12 - [c96]Hung Viet Pham, Shangshu Qian, Jiannan Wang, Thibaud Lutellier, Jonathan Rosenthal, Lin Tan, Yaoliang Yu, Nachiappan Nagappan:
Problems and Opportunities in Training Deep Learning Software Systems: An Analysis of Variance. ASE 2020: 771-783 - [c95]Danielle Gonzalez, Thomas Zimmermann, Nachiappan Nagappan:
The State of the ML-universe: 10 Years of Artificial Intelligence & Machine Learning Software Development on GitHub. MSR 2020: 431-442 - [i9]Foyzul Hassan, Chetan Bansal, Nachiappan Nagappan, Thomas Zimmermann, Ahmed Hassan Awadallah:
An Empirical Study of Software Exceptions in the Field using Search Logs. CoRR abs/2006.00385 (2020) - [i8]Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan, Thomas Zimmermann:
Neural Knowledge Extraction From Cloud Service Incidents. CoRR abs/2007.05505 (2020) - [i7]Paulo Anselmo da Mota Silveira Neto, Umme Ayda Mannan, Eduardo Santana de Almeida, Nachiappan Nagappan, David Lo, Pavneet Singh Kochhar, Cuiyun Gao, Iftekhar Ahmed:
A Deep Dive on the Impact of COVID-19 in Software Development. CoRR abs/2008.07048 (2020) - [i6]Denae Ford, Margaret-Anne D. Storey, Thomas Zimmermann, Christian Bird, Sonia Jaffe, Chandra Shekhar Maddila, Jenna L. Butler, Brian Houck, Nachiappan Nagappan:
A Tale of Two Cities: Software Developers Working from Home During the COVID-19 Pandemic. CoRR abs/2008.11147 (2020) - [i5]Gede Artha Azriadi Prana, Denae Ford, Ayushi Rastogi, David Lo, Rahul Purandare, Nachiappan Nagappan:
Including Everyone, Everywhere: Understanding Opportunities and Challenges of Geographic Gender-Inclusion in OSS. CoRR abs/2010.00822 (2020) - [i4]Chandra Shekhar Maddila, Sai Surya Upadrasta, Chetan Bansal, Nachiappan Nagappan, Georgios Gousios, Arie van Deursen:
Nudge: Accelerating Overdue Pull Requests Towards Completion. CoRR abs/2011.12468 (2020)
2010 – 2019
- 2019
- [c94]Saleema Amershi, Andrew Begel, Christian Bird, Robert DeLine, Harald C. Gall, Ece Kamar, Nachiappan Nagappan, Besmira Nushi, Thomas Zimmermann:
Software engineering for machine learning: a case study. ICSE (SEIP) 2019: 291-300 - [c93]Adithya Abraham Philip, Ranjita Bhagwan, Rahul Kumar, Chandra Shekhar Maddila, Nachiappan Nagappan:
FastLane: test minimization for rapidly deployed large-scale online services. ICSE 2019: 408-418 - [c92]Song Wang, Chetan Bansal, Nachiappan Nagappan, Adithya Abraham Philip:
Leveraging Change Intents for Characterizing and Identifying Large-Review-Effort Changes. PROMISE 2019: 46-55 - [c91]Chandra Shekhar Maddila, Chetan Bansal, Nachiappan Nagappan:
Predicting pull request completion time: a case study on large scale cloud services. ESEC/SIGSOFT FSE 2019: 874-882 - [i3]Song Wang, Nachi Nagappan:
Characterizing and Understanding Software Developer Networks in Security Development. CoRR abs/1907.12141 (2019) - [i2]Abhishek Sharma, Gede Artha Azriadi Prana, Anamika Sawhney, Nachiappan Nagappan, David Lo:
Analyzing Offline Social Engagements: An Empirical Study of Meetup Events Related to Software Development. CoRR abs/1912.07352 (2019) - [i1]Chetan Bansal, Thomas Zimmermann, Ahmed Hassan Awadallah, Nachiappan Nagappan:
The Usage of Web Search for Software Engineering. CoRR abs/1912.09519 (2019) - 2018
- [c90]Ayushi Rastogi, Nachiappan Nagappan, Georgios Gousios, André van der Hoek:
Relationship between geographical location and evaluation of developer contributions in github. ESEM 2018: 22:1-22:8 - 2017
- [j17]Jeff Huang, Eddie Q. Yan, Gifford Cheung, Nachiappan Nagappan, Thomas Zimmermann:
Master Maker: Understanding Gaming Skill Through Practice and Habit From Gameplay Behavior. Top. Cogn. Sci. 9(2): 437-466 (2017) - [j16]Pavneet Singh Kochhar, David Lo, Julia Lawall, Nachiappan Nagappan:
Code Coverage and Postrelease Defects: A Large-Scale Study on Open Source Projects. IEEE Trans. Reliab. 66(4): 1213-1228 (2017) - [c89]Denae Ford, Tom Zimmermann, Christian Bird, Nachiappan Nagappan:
Characterizing Software Engineering Work with Personas Based on Knowledge Worker Actions. ESEM 2017: 394-403 - [c88]Ayushi Rastogi, Suresh Thummalapenta, Thomas Zimmermann, Nachiappan Nagappan, Jacek Czerwonka:
Ramp-up Journey of New Hires: Do strategic practices of software companies influence productivity? ISEC 2017: 107-111 - 2016
- [j15]Xin Xia, David Lo, Sinno Jialin Pan, Nachiappan Nagappan, Xinyu Wang:
HYDRA: Massively Compositional Model for Cross-Project Defect Prediction. IEEE Trans. Software Eng. 42(10): 977-998 (2016) - [c87]Ayushi Rastogi, Nachiappan Nagappan:
On the Personality Traits of GitHub Contributors. ISSRE 2016: 77-86 - [c86]Ayushi Rastogi, Nachiappan Nagappan:
Forking and the Sustainability of the Developer Community Participation - An Empirical Investigation on Outcomes and Reasons. SANER 2016: 102-111 - 2015
- [j14]Abram Hindle, Christian Bird, Thomas Zimmermann, Nachiappan Nagappan:
Do topics make sense to managers and developers? Empir. Softw. Eng. 20(2): 479-515 (2015) - [j13]Emerson R. Murphy-Hill, Thomas Zimmermann, Christian Bird, Nachiappan Nagappan:
The Design Space of Bug Fixes and How Developers Navigate It. IEEE Trans. Software Eng. 41(1): 65-81 (2015) - [c85]Erik Harpstead, Thomas Zimmermann, Nachiappan Nagappan, Jose J. Guajardo, Ryan Cooper, Tyson Solberg, Dan Greenawalt:
What Drives People: Creating Engagement Profiles of Players from Game Log Data. CHI PLAY 2015: 369-379 - [c84]Ayushi Rastogi, Suresh Thummalapenta, Thomas Zimmermann, Nachiappan Nagappan, Jacek Czerwonka:
Ramp-Up Journey of New Hires: Tug of War of Aids and Impediments. ESEM 2015: 96-105 - [c83]Kim Herzig, Nachiappan Nagappan:
Empirically Detecting False Test Alarms Using Association Rules. ICSE (2) 2015: 39-48 - [c82]Pavneet Singh Kochhar, Ferdian Thung, Nachiappan Nagappan, Thomas Zimmermann, David Lo:
Understanding the Test Automation Culture of App Developers. ICST 2015: 1-10 - [c81]Baishakhi Ray, Meiyappan Nagappan, Christian Bird, Nachiappan Nagappan, Thomas Zimmermann:
The Uniqueness of Changes: Characteristics and Applications. MSR 2015: 34-44 - [c80]Kim Herzig, Nachiappan Nagappan:
The Impact of Test Ownership and Team Structure on the Reliability, Effectiveness of Quality Test Runs. Software Engineering & Management 2015: 105-106 - [c79]David Lo, Nachiappan Nagappan, Thomas Zimmermann:
How practitioners perceive the relevance of software engineering research. ESEC/SIGSOFT FSE 2015: 415-425 - 2014
- [j12]Miryung Kim, Thomas Zimmermann, Nachiappan Nagappan:
An Empirical Study of RefactoringChallenges and Benefits at Microsoft. IEEE Trans. Software Eng. 40(7): 633-649 (2014) - [c78]Gifford K. Cheung, Thomas Zimmermann, Nachiappan Nagappan:
The first hour experience: how the initial play can engage (or lose) new players. CHI PLAY 2014: 57-66 - [c77]Kim Herzig, Nachiappan Nagappan:
The impact of test ownership and team structure on the reliability and effectiveness of quality test runs. ESEM 2014: 2:1-2:10 - [c76]Ashish Gupta, Thomas Zimmermann, Christian Bird, Nachiappan Nagappan, Thirumalesh Bhat, Syed Emran:
Mining energy traces to aid in software development: an empirical case study. ESEM 2014: 40:1-40:8 - [c75]Thomas Debeauvais, Thomas Zimmermann, Nachiappan Nagappan, Kevin Carter, Ryan Cooper, Dan Greenawalt, Tyson Solberg:
Off with their assists: An empirical study of driving skill in Forza Motorsport 4. FDG 2014 - [c74]Emerson R. Murphy-Hill, Thomas Zimmermann, Nachiappan Nagappan:
Cowboys, ankle sprains, and keepers of quality: how is video game development different from software development? ICSE 2014: 1-11 - [c73]Christian Bird, Venkatesh-Prasad Ranganath, Thomas Zimmermann, Nachiappan Nagappan, Andreas Zeller:
Extrinsic influence factors in software reliability: a study of 200, 000 windows machines. ICSE Companion 2014: 205-214 - [c72]Kivanç Muslu, Christian Bird, Nachiappan Nagappan, Jacek Czerwonka:
Transition from centralized to decentralized version control systems: a case study on reasons, barriers, and outcomes. ICSE 2014: 334-344 - [c71]Thomas Zimmermann, Nachiappan Nagappan:
Software Analytics for Digital Games. Software Engineering 2014: 23-24 - 2013
- [j11]Grace A. Lewis, Nachiappan Nagappan, Jeff Gray, David S. Rosenblum, Henry Muccini, Emad Shihab:
Report of the 2013 ICSE 1st international workshop on engineering mobile-enabled systems (MOBS 2013): 12. ACM SIGSOFT Softw. Eng. Notes 38(5): 55-58 (2013) - [j10]Jacek Czerwonka, Nachiappan Nagappan, Wolfram Schulte, Brendan Murphy:
CODEMINE: Building a Software Development Data Analytics Platform at Microsoft. IEEE Softw. 30(4): 64-71 (2013) - [c70]Jeff Huang, Thomas Zimmermann, Nachiappan Nagappan, Charles Harrison, Bruce C. Phillips:
Mastering the art of war: how patterns of gameplay influence skill in Halo. CHI 2013: 695-704 - [c69]Brendan Murphy, Christian Bird, Thomas Zimmermann, Laurie A. Williams, Nachiappan Nagappan, Andrew Begel:
Have Agile Techniques been the Silver Bullet for Software Development at Microsoft? ESEM 2013: 75-84 - [c68]Emerson R. Murphy-Hill, Thomas Zimmermann, Christian Bird, Nachiappan Nagappan:
The design of bug fixes. ICSE 2013: 332-341 - [c67]Ekrem Kocaguneli, Thomas Zimmermann, Christian Bird, Nachiappan Nagappan, Tim Menzies:
Distributed development considered harmful? ICSE 2013: 882-890 - [c66]