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ORCIDNachiappan Nagappan
Nachi Nagappan
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- affiliation: Microsoft Research, Redmond, WA
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2020 – today
- 2024
[j27]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)- [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 - [i28]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) - 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]Grace A. Lewis, Jeff Gray, Henry Muccini, Nachiappan Nagappan, David S. Rosenblum, Emad Shihab:
1st international workshop on the engineering of mobile-enabled systems (MOBS 2013). ICSE 2013: 1533-1534 - [c65]