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ORCIDPremkumar T. Devanbu
Prem Devanbu
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- affiliation: University of California, Davis, Department of Computer Science
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2020 – today
- 2024
[c130]Toufique Ahmed
, Kunal Suresh Pai, Premkumar T. Devanbu, Earl T. Barr:
Automatic Semantic Augmentation of Language Model Prompts (for Code Summarization). ICSE 2024: 220:1-220:13- [i36]Claudio Spiess, David Gros, Kunal Suresh Pai, Michael Pradel, Md. Rafiqul Islam Rabin, Amin Alipour, Susmit Jha, Prem Devanbu, Toufique Ahmed:
Calibration and Correctness of Language Models for Code. CoRR abs/2402.02047 (2024) - [i35]Toufique Ahmed, Christian Bird, Premkumar T. Devanbu, Saikat Chakraborty:
Studying LLM Performance on Closed- and Open-source Data. CoRR abs/2402.15100 (2024) - [i34]Zhou Yang, Zhensu Sun, Terry Yue Zhuo, Premkumar T. Devanbu, David Lo:
Robustness, Security, Privacy, Explainability, Efficiency, and Usability of Large Language Models for Code. CoRR abs/2403.07506 (2024) - [i33]Islem Bouzenia, Premkumar T. Devanbu, Michael Pradel:
RepairAgent: An Autonomous, LLM-Based Agent for Program Repair. CoRR abs/2403.17134 (2024) - [i32]Yuvraj Virk, Premkumar T. Devanbu, Toufique Ahmed:
Enhancing Trust in LLM-Generated Code Summaries with Calibrated Confidence Scores. CoRR abs/2404.19318 (2024) - [i31]Aftab Hussain, Md. Rafiqul Islam Rabin, Toufique Ahmed, Bowen Xu, Premkumar T. Devanbu, Mohammad Amin Alipour:
Trojans in Large Language Models of Code: A Critical Review through a Trigger-Based Taxonomy. CoRR abs/2405.02828 (2024) - [i30]Toufique Ahmed, Premkumar T. Devanbu, Christoph Treude, Michael Pradel:
Can LLMs Replace Manual Annotation of Software Engineering Artifacts? CoRR abs/2408.05534 (2024) - 2023
- [j42]Kevin Jesse, Premkumar T. Devanbu, Anand Ashok Sawant:
Learning to Predict User-Defined Types. IEEE Trans. Software Eng. 49(4): 1508-1522 (2023) - [j41]Toufique Ahmed, Noah Rose Ledesma, Premkumar T. Devanbu:
SynShine: Improved Fixing of Syntax Errors. IEEE Trans. Software Eng. 49(4): 2169-2181 (2023) - [c129]Toufique Ahmed, Premkumar T. Devanbu:
Better Patching Using LLM Prompting, via Self-Consistency. ASE 2023: 1742-1746 - [c128]Kevin Jesse, Toufique Ahmed, Premkumar T. Devanbu, Emily Morgan:
Large Language Models and Simple, Stupid Bugs. MSR 2023: 563-575 - [c127]Ali Al-Kaswan, Toufique Ahmed, Maliheh Izadi, Anand Ashok Sawant, Premkumar T. Devanbu, Arie van Deursen:
Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binarie. SANER 2023: 260-271 - [i29]Ali Al-Kaswan, Toufique Ahmed, Maliheh Izadi, Anand Ashok Sawant, Premkumar T. Devanbu, Arie van Deursen:
Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binaries. CoRR abs/2301.01701 (2023) - [i28]Kevin Jesse, Toufique Ahmed, Premkumar T. Devanbu, Emily Morgan:
Large Language Models and Simple, Stupid Bugs. CoRR abs/2303.11455 (2023) - [i27]Toufique Ahmed, Kunal Suresh Pai, Premkumar T. Devanbu, Earl T. Barr:
Improving Few-Shot Prompts with Relevant Static Analysis Products. CoRR abs/2304.06815 (2023) - [i26]David Gros, Prem Devanbu, Zhou Yu:
AI Safety Subproblems for Software Engineering Researchers. CoRR abs/2304.14597 (2023) - [i25]Aftab Hussain, Md. Rafiqul Islam Rabin, Toufique Ahmed, Bowen Xu, Prem Devanbu, Mohammad Amin Alipour:
A Survey of Trojans in Neural Models of Source Code: Taxonomy and Techniques. CoRR abs/2305.03803 (2023) - [i24]Toufique Ahmed, Premkumar T. Devanbu:
Majority Rule: better patching via Self-Consistency. CoRR abs/2306.00108 (2023) - [i23]Toufique Ahmed, Dian Yu, Chengxuan Huang, Cathy Wang, Prem Devanbu, Kenji Sagae:
Towards Understanding What Code Language Models Learned. CoRR abs/2306.11943 (2023) - 2022
- [j40]Toufique Ahmed, Premkumar T. Devanbu, Anand Ashok Sawant:
Learning to Find Usages of Library Functions in Optimized Binaries. IEEE Trans. Software Eng. 48(10): 3862-3876 (2022) - [c126]Toufique Ahmed, Premkumar T. Devanbu:
Multilingual training for Software Engineering. ICSE 2022: 1443-1455 - [c125]Premkumar T. Devanbu:
Naturalness and Artifice of Code: Exploiting the Bi-Modality. ISEC 2022: 3:1 - [c124]Sivani Voruganti, Kevin Jesse, Premkumar T. Devanbu:
FlexType: A Plug-and-Play Framework for Type Inference Models. ASE 2022: 159:1-159:5 - [c123]Toufique Ahmed, Premkumar T. Devanbu:
Few-shot training LLMs for project-specific code-summarization. ASE 2022: 177:1-177:5 - [c122]Kevin Jesse, Premkumar T. Devanbu:
ManyTypes4TypeScript: A Comprehensive TypeScript Dataset for Sequence-Based Type Inference. MSR 2022: 294-298 - [c121]Saikat Chakraborty, Toufique Ahmed, Yangruibo Ding, Premkumar T. Devanbu, Baishakhi Ray:
NatGen: generative pre-training by "naturalizing" source code. ESEC/SIGSOFT FSE 2022: 18-30 - [d2]Ali Al-Kaswan, Toufique Ahmed, Maliheh Izadi, Anand Ashok Sawant, Prem Devanbu, Arie van Deursen:
BinT5: Binary Code Summarisation Model. Zenodo, 2022
- [d1]Ali Al-Kaswan, Toufique Ahmed, Maliheh Izadi, Anand Ashok Sawant, Prem Devanbu, Arie van Deursen:
CAPYBARA: Decompiled Binary Functions and Related Summaries. Zenodo, 2022 - [i22]Toufique Ahmed, Premkumar T. Devanbu:
Learning code summarization from a small and local dataset. CoRR abs/2206.00804 (2022) - [i21]Saikat Chakraborty, Toufique Ahmed, Yangruibo Ding, Premkumar T. Devanbu, Baishakhi Ray:
NatGen: Generative pre-training by "Naturalizing" source code. CoRR abs/2206.07585 (2022) - [i20]Toufique Ahmed, Premkumar T. Devanbu:
Few-shot training LLMs for project-specific code-summarization. CoRR abs/2207.04237 (2022) - 2021
- [j39]Toufique Ahmed, Premkumar T. Devanbu, Vincent J. Hellendoorn:
Learning lenient parsing & typing via indirect supervision. Empir. Softw. Eng. 26(2): 29 (2021) - [j38]Daryl Posnett, Abram Hindle, Premkumar T. Devanbu:
Reflections on: A Simpler Model of Software Readability. ACM SIGSOFT Softw. Eng. Notes 46(3): 30-32 (2021) - [j37]Anand Ashok Sawant, Premkumar T. Devanbu:
Naturally!: How Breakthroughs in Natural Language Processing Can Dramatically Help Developers. IEEE Softw. 38(5): 118-123 (2021) - [c120]Kevin Jesse, Premkumar T. Devanbu, Toufique Ahmed:
Learning type annotation: is big data enough? ESEC/SIGSOFT FSE 2021: 1483-1486 - [i19]Toufique Ahmed, Premkumar T. Devanbu, Anand Ashok Sawant:
Finding Inlined Functions in Optimized Binaries. CoRR abs/2103.05221 (2021) - [i18]Toufique Ahmed, Noah Rose Ledesma, Premkumar T. Devanbu:
SYNFIX: Automatically Fixing Syntax Errors using Compiler Diagnostics. CoRR abs/2104.14671 (2021) - [i17]Toufique Ahmed, Premkumar T. Devanbu:
Multilingual training for Software Engineering. CoRR abs/2112.02043 (2021) - 2020
- [j36]Casey Casalnuovo, Kevin Lee, Hulin Wang, Prem Devanbu, Emily Morgan:
Do Programmers Prefer Predictable Expressions in Code? Cogn. Sci. 44(12) (2020) - [c119]Casey Casalnuovo, Premkumar T. Devanbu, Emily Morgan:
Does Language Model Surprisal Measure Code Comprehension? CogSci 2020 - [c118]Casey Casalnuovo, Earl T. Barr, Santanu Kumar Dash, Prem Devanbu, Emily Morgan:
A theory of dual channel constraints. ICSE (NIER) 2020: 25-28 - [c117]Yangruibo Ding, Baishakhi Ray, Premkumar T. Devanbu, Vincent J. Hellendoorn:
Patching as Translation: the Data and the Metaphor. ASE 2020: 275-286 - [c116]David Gros, Hariharan Sezhiyan, Prem Devanbu, Zhou Yu:
Code to Comment "Translation": Data, Metrics, Baselining & Evaluation. ASE 2020: 746-757 - [e9]Prem Devanbu, Myra B. Cohen, Thomas Zimmermann:
ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Virtual Event, USA, November 8-13, 2020. ACM 2020, ISBN 978-1-4503-7043-1 [contents] - [i16]Yangruibo Ding, Baishakhi Ray, Premkumar T. Devanbu, Vincent J. Hellendoorn:
Patching as Translation: the Data and the Metaphor. CoRR abs/2008.10707 (2020) - [i15]Prem Devanbu, Matthew B. Dwyer, Sebastian G. Elbaum, Michael Lowry, Kevin Moran, Denys Poshyvanyk, Baishakhi Ray, Rishabh Singh, Xiangyu Zhang:
Deep Learning & Software Engineering: State of Research and Future Directions. CoRR abs/2009.08525 (2020) - [i14]David Gros, Hariharan Sezhiyan, Prem Devanbu, Zhou Yu:
Code to Comment "Translation": Data, Metrics, Baselining & Evaluation. CoRR abs/2010.01410 (2020)
2010 – 2019
- 2019
- [j35]Casey Casalnuovo, Kenji Sagae, Prem Devanbu:
Studying the difference between natural and programming language corpora. Empir. Softw. Eng. 24(4): 1823-1868 (2019) - [j34]David Kavaler, Premkumar T. Devanbu, Vladimir Filkov:
Whom are you going to call? determinants of @-mentions in Github discussions. Empir. Softw. Eng. 24(6): 3904-3932 (2019) - [c115]David A. Tomassi, Naji Dmeiri, Yichen Wang, Antara Bhowmick, Yen-Chuan Liu, Premkumar T. Devanbu, Bogdan Vasilescu, Cindy Rubio-González:
BugSwarm: mining and continuously growing a dataset of reproducible failures and fixes. ICSE 2019: 339-349 - [c114]Hongyu Zhai, Casey Casalnuovo, Premkumar T. Devanbu:
Test coverage in python programs. MSR 2019: 116-120 - [i13]Vincent J. Hellendoorn, Premkumar T. Devanbu, Oleksandr Polozov, Mark Marron:
Are My Invariants Valid? A Learning Approach. CoRR abs/1903.06089 (2019) - [i12]Naji Dmeiri, David A. Tomassi, Yichen Wang, Antara Bhowmick, Yen-Chuan Liu, Premkumar T. Devanbu, Bogdan Vasilescu, Cindy Rubio-González:
BugSwarm: Mining and Continuously Growing a Dataset of Reproducible Failures and Fixes. CoRR abs/1903.06725 (2019) - [i11]Casey Casalnuovo, Kevin Lee, Hulin Wang, Prem Devanbu, Emily Morgan:
Do People Prefer "Natural" code? CoRR abs/1910.03704 (2019) - [i10]Toufique Ahmed, Vincent J. Hellendoorn, Premkumar T. Devanbu:
Learning Lenient Parsing & Typing via Indirect Supervision. CoRR abs/1910.05879 (2019) - [i9]Baishakhi Ray, Prem Devanbu, Vladimir Filkov:
Rebuttal to Berger et al., TOPLAS 2019. CoRR abs/1911.07393 (2019) - 2018
- [j33]Miltiadis Allamanis, Earl T. Barr, Premkumar T. Devanbu, Charles Sutton:
A Survey of Machine Learning for Big Code and Naturalness. ACM Comput. Surv. 51(4): 81:1-81:37 (2018) - [j32]Premkumar T. Devanbu, Thomas Zimmermann, Christian Bird:
Belief and Evidence: How Software Engineers Form Their Opinions. IEEE Softw. 35(6): 72-76 (2018) - [j31]Miltiadis Allamanis, Earl T. Barr, Christian Bird, Premkumar T. Devanbu, Mark Marron, Charles Sutton:
Mining Semantic Loop Idioms. IEEE Trans. Software Eng. 44(7): 651-668 (2018) - [c113]Vincent J. Hellendoorn, Premkumar T. Devanbu, Mohammad Amin Alipour:
On the naturalness of proofs. ESEC/SIGSOFT FSE 2018: 724-728 - [e8]Yijun Yu, Erik M. Fredericks, Premkumar T. Devanbu:
Proceedings of the 4th ACM SIGSOFT International Workshop on NLP for Software Engineering, NL4SE@ESEC/SIGSOFT FSE 2018, Lake Buena Vista, FL, USA, November 4, 2018. ACM 2018, ISBN 978-1-4503-6055-5 [contents] - [i8]Casey Casalnuovo, Kenji Sagae, Premkumar T. Devanbu:
Studying the Difference Between Natural and Programming Language Corpora. CoRR abs/1806.02437 (2018) - [i7]David Kavaler, Premkumar T. Devanbu, Vladimir Filkov:
Whom Are You Going to Call?: Determinants of @-Mentions in GitHub Discussions. CoRR abs/1806.08457 (2018) - 2017
- [j30]Baishakhi Ray, Daryl Posnett, Premkumar T. Devanbu, Vladimir Filkov:
A large-scale study of programming languages and code quality in GitHub. Commun. ACM 60(10): 91-100 (2017) - [c112]Premkumar T. Devanbu, Pallavi Kudigrama, Cindy Rubio-González, Bogdan Vasilescu:
Timezone and time-of-day variance in GitHub teams: an empirical method and study. SWAN@ESEC/SIGSOFT FSE 2017: 19-22 - [c111]Bogdan Vasilescu, Casey Casalnuovo, Premkumar T. Devanbu:
Recovering clear, natural identifiers from obfuscated JS names. ESEC/SIGSOFT FSE 2017: 683-693 - [c110]Vincent J. Hellendoorn, Premkumar T. Devanbu:
Are deep neural networks the best choice for modeling source code? ESEC/SIGSOFT FSE 2017: 763-773 - [i6]Miltiadis Allamanis, Earl T. Barr, Premkumar T. Devanbu, Charles Sutton:
A Survey of Machine Learning for Big Code and Naturalness. CoRR abs/1709.06182 (2017) - 2016
- [j29]Abram Hindle, Earl T. Barr, Mark Gabel, Zhendong Su, Premkumar T. Devanbu:
On the naturalness of software. Commun. ACM 59(5): 122-131 (2016) - [c109]Premkumar T. Devanbu, Thomas Zimmermann, Christian Bird:
Belief & evidence in empirical software engineering. ICSE 2016: 108-119 - [c108]Baishakhi Ray, Vincent J. Hellendoorn, Saheel Godhane, Zhaopeng Tu, Alberto Bacchelli, Premkumar T. Devanbu:
On the "naturalness" of buggy code. ICSE 2016: 428-439 - [c107]Bogdan Vasilescu, Kelly Blincoe, Qi Xuan, Casey Casalnuovo, Daniela E. Damian, Premkumar T. Devanbu, Vladimir Filkov:
The sky is not the limit: multitasking across GitHub projects. ICSE 2016: 994-1005 - [p1]Earl T. Barr, Premkumar T. Devanbu:
The naturalness of software ☆. Perspectives on Data Science for Software Engineering 2016: 51-55 - [i5]Yue Yu, Bogdan Vasilescu, Huaimin Wang, Vladimir Filkov, Premkumar T. Devanbu:
Initial and Eventual Software Quality Relating to Continuous Integration in GitHub. CoRR abs/1606.00521 (2016) - [i4]Niraj Kumar, Premkumar T. Devanbu:
OntoCat: Automatically categorizing knowledge in API Documentation. CoRR abs/1607.07602 (2016) - 2015
- [j28]Ferdian Thung, Lucia, David Lo, Lingxiao Jiang, Foyzur Rahman, Premkumar T. Devanbu:
To what extent could we detect field defects? An extended empirical study of false negatives in static bug-finding tools. Autom. Softw. Eng. 22(4): 561-602 (2015) - [j27]Claire Le Goues, Neal J. Holtschulte, Edward K. Smith, Yuriy Brun, Premkumar T. Devanbu, Stephanie Forrest, Westley Weimer:
The ManyBugs and IntroClass Benchmarks for Automated Repair of C Programs. IEEE Trans. Software Eng. 41(12): 1236-1256 (2015) - [c106]Bogdan Vasilescu, Daryl Posnett, Baishakhi Ray, Mark G. J. van den Brand, Alexander Serebrenik, Premkumar T. Devanbu, Vladimir Filkov:
Gender and Tenure Diversity in GitHub Teams. CHI 2015: 3789-3798 - [c105]Premkumar T. Devanbu:
New Initiative: The Naturalness of Software. ICSE (2) 2015: 543-546 - [c104]Christine Franks, Zhaopeng Tu, Premkumar T. Devanbu, Vincent J. Hellendoorn:
CACHECA: A Cache Language Model Based Code Suggestion Tool. ICSE (2) 2015: 705-708 - [c103]Casey Casalnuovo, Premkumar T. Devanbu, Abílio Oliveira, Vladimir Filkov, Baishakhi Ray:
Assert Use in GitHub Projects. ICSE (1) 2015: 755-766 - [c102]Vincent J. Hellendoorn, Premkumar T. Devanbu, Alberto Bacchelli:
Will They Like This? Evaluating Code Contributions with Language Models. MSR 2015: 157-167 - [c101]Yue Yu, Huaimin Wang, Vladimir Filkov, Premkumar T. Devanbu, Bogdan Vasilescu:
Wait for It: Determinants of Pull Request Evaluation Latency on GitHub. MSR 2015: 367-371 - [c100]Bogdan Vasilescu, Yue Yu, Huaimin Wang, Premkumar T. Devanbu, Vladimir Filkov:
Quality and productivity outcomes relating to continuous integration in GitHub. ESEC/SIGSOFT FSE 2015: 805-816 - [c99]Casey Casalnuovo, Bogdan Vasilescu, Premkumar T. Devanbu, Vladimir Filkov:
Developer onboarding in GitHub: the role of prior social links and language experience. ESEC/SIGSOFT FSE 2015: 817-828 - [e7]Srinivas Padmanabhuni, Raghu Nambiar, Premkumar T. Devanbu, Murali Krishna Ramanathan, Ashish Sureka:
Proceedings of the 8th India Software Engineering Conference, ISEC 2015, Bangalore, India, February 18-20, 2015. ACM 2015, ISBN 978-1-4503-3432-7 [contents] - [i3]Baishakhi Ray, Vincent J. Hellendoorn, Zhaopeng Tu, Connie Nguyen, Saheel Godhane, Alberto Bacchelli, Premkumar T. Devanbu:
On the "Naturalness" of Buggy Code. CoRR abs/1506.01159 (2015) - 2014
- [c98]Bogdan Vasilescu, Alexander Serebrenik, Premkumar T. Devanbu, Vladimir Filkov:
How social Q&A sites are changing knowledge sharing in open source software communities. CSCW 2014: 342-354 - [c97]Foyzur Rahman, Sameer Khatri, Earl T. Barr, Premkumar T. Devanbu:
Comparing static bug finders and statistical prediction. ICSE 2014: 424-434 - [c96]Baishakhi Ray, Daryl Posnett, Vladimir Filkov, Premkumar T. Devanbu:
A large scale study of programming languages and code quality in github. SIGSOFT FSE 2014: 155-165 - [c95]Zhaopeng Tu, Zhendong Su, Premkumar T. Devanbu:
On the localness of software. SIGSOFT FSE 2014: 269-280 - [c94]Earl T. Barr, Yuriy Brun, Premkumar T. Devanbu, Mark Harman, Federica Sarro:
The plastic surgery hypothesis. SIGSOFT FSE 2014: 306-317 - [c93]Qi Xuan, Aaron Okano, Premkumar T. Devanbu, Vladimir Filkov:
Focus-shifting patterns of OSS developers and their congruence with call graphs. SIGSOFT FSE 2014: 401-412 - [c92]Senthil Mani, Karthik Sankaranarayanan, Vibha Singhal Sinha, Premkumar T. Devanbu:
Panning requirement nuggets in stream of software maintenance tickets. SIGSOFT FSE 2014: 678-688 - [e6]Premkumar T. Devanbu, Sung Kim, Martin Pinzger:
11th Working Conference on Mining Software Repositories, MSR 2014, Proceedings, May 31 - June 1, 2014, Hyderabad, India. ACM 2014, ISBN 978-1-4503-2863-0 [contents] - [i2]Qi Xuan, Premkumar T. Devanbu, Vladimir Filkov:
Converging Work-Talk Patterns in Online Task-Oriented Communities. CoRR abs/1404.5708 (2014) - 2013
- [j26]Ahmed E. Hassan, Abram Hindle, Per Runeson, Martin J. Shepperd, Premkumar T. Devanbu, Sunghun Kim:
Roundtable: What's Next in Software Analytics. IEEE Softw. 30(4): 53-56 (2013) - [c91]Peter Schulam, Roni Rosenfeld, Premkumar T. Devanbu:
Building Statistical Language Models of code. DAPSE@ICSE 2013: 1-3 - [c90]Peter C. Rigby, Earl T. Barr, Christian Bird, Premkumar T. Devanbu, Daniel M. Germán:
What effect does distributed version control have on OSS project organization? RELENG@ICSE 2013: 29-32 - [c89]Foyzur Rahman, Premkumar T. Devanbu:
How, and why, process metrics are better. ICSE 2013: 432-441 - [c88]Daryl Posnett, Raissa M. D'Souza, Premkumar T. Devanbu, Vladimir Filkov:
Dual ecological measures of focus in software development. ICSE 2013: 452-461 - [c87]Premkumar T. Devanbu:
On the naturalness of software. ISEC 2013: 61 - [c86]Ryan Stevens, Jonathan Ganz, Vladimir Filkov, Premkumar T. Devanbu, Hao Chen:
Asking for (and about) permissions used by Android apps. MSR 2013: 31-40 - [c85]Foyzur Rahman, Daryl Posnett, Israel Herraiz, Premkumar T. Devanbu:
Sample size vs. bias in defect prediction. ESEC/SIGSOFT FSE 2013: 147-157 - [c84]David Kavaler, Daryl Posnett, Clint Gibler, Hao Chen, Premkumar T. Devanbu, Vladimir Filkov:
Using and Asking: APIs Used in the Android Market and Asked about in StackOverflow. SocInfo 2013: 405-418 - 2012
- [j25]Foyzur Rahman, Christian Bird, Premkumar T. Devanbu:
Clones: what is that smell? Empir. Softw. Eng. 17(4-5): 503-530 (2012) - [c83]Earl T. Barr, Christian Bird, Peter C. Rigby, Abram Hindle, Daniel M. Germán, Premkumar T. Devanbu:
Cohesive and Isolated Development with Branches. FASE 2012: 316-331 - [c82]Abram Hindle, Earl T. Barr, Zhendong Su, Mark Gabel, Premkumar T. Devanbu:
On the naturalness of software. ICSE 2012: 837-847 - [c81]Ferdian Thung, David Lo, Lingxiao Jiang, Lucia, Foyzur Rahman, Premkumar T. Devanbu:
When would this bug get reported? ICSM 2012: 420-429 - [c80]Ferdian Thung, Lucia, David Lo, Lingxiao Jiang, Foyzur Rahman, Premkumar T. Devanbu:
To what extent could we detect field defects? an empirical study of false negatives in static bug finding tools. ASE 2012: 50-59 - [c79]Daryl Posnett, Premkumar T. Devanbu, Vladimir Filkov:
MIC check: A correlation tactic for ESE data. MSR 2012: 22-31 - [c78]Premkumar T. Devanbu:
On the Naturalness of Software. SEKE 2012 - [c77]Foyzur Rahman, Daryl Posnett, Premkumar T. Devanbu:
Recalling the "imprecision" of cross-project defect prediction. SIGSOFT FSE 2012: 61 - [c76]Qi Xuan, Mohammad Gharehyazie, Premkumar T. Devanbu, Vladimir Filkov:
Measuring the Effect of Social Communications on Individual Working Rhythms: A Case Study of Open Source Software. SocialInformatics 2012: 78-85 - [c75]