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Computer Science

D-Index
70
Citations
20214
World Ranking
1870
National Ranking
955

Research.com Recognitions

  • 2018 - ACM Fellow For contributions to using software data and meta-data to improve software tools and processes

Overview

Premkumar Devanbu is affiliated with the University of California, Davis in the United States. The main field of their research is Computer Science, with a focus on several subfields including Artificial Intelligence, Information Systems, Software, Signal Processing, and Computer Networks and Communications.

Their work covers a variety of topics, particularly within Software Engineering Research, and extends to Topic Modeling, Software Testing and Debugging Techniques, Advanced Malware Detection Techniques, Natural Language Processing Techniques, Software Reliability and Analysis Research, and Software System Performance and Reliability.

Devanbu has published extensively, with research appearing frequently in several venues. Prominent among these are arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), IEEE Transactions on Software Engineering, Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, and ACM Transactions on Software Engineering and Methodology.

Recent papers authored in part by Devanbu include:

  • "NatGen: generative pre-training by "naturalizing" source code", 2022, Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
  • "SynShine: Improved Fixing of Syntax Errors", 2022, IEEE Transactions on Software Engineering
  • "Naturally!: How Breakthroughs in Natural Language Processing Can Dramatically Help Developers", 2021, IEEE Software
  • "Patching as Translation: The Data and the Metaphor", 2020, arXiv (Cornell University)
  • "RepairAgent: An Autonomous, LLM-Based Agent for Program Repair", 2024, arXiv (Cornell University)

Devanbu has collaborated frequently with several co-authors, including Toufique Ahmed, Anand Ashok Sawant, Kevin Jesse, Baishakhi Ray, and Noah Rose Ledesma.

The scientist was recognized as an ACM Fellow in 2018 for contributions related to using software data and meta-data to improve software tools and processes.

Best Publications

  • On the naturalness of software

    Abram Hindle;Earl T. Barr;Mark Gabel;Zhendong Su

  • A Survey of Machine Learning for Big Code and Naturalness

    Miltiadis Allamanis;Earl T. Barr;Premkumar Devanbu;Charles Sutton

  • Mining email social networks

    Christian Bird;Alex Gourley;Prem Devanbu;Michael Gertz

  • On the naturalness of software

    Abram Hindle;Earl T. Barr;Zhendong Su;Mark Gabel

  • Software engineering for security: a roadmap

    Premkumar T. Devanbu;Stuart Stubblebine

  • A knowledge-based software information system

    Premkumar Devanbu;Peter G. Selfridge;Bruce W. Ballard;Ronald J. Brachman

  • LaSSIE: a knowledge-based software information system

    Prem Devanbu;Ron Brachman;Peter G. Selfridge;Bruce W. Ballard

  • A large scale study of programming languages and code quality in github

    Baishakhi Ray;Daryl Posnett;Vladimir Filkov;Premkumar Devanbu

  • An investigation into coupling measures for C

    Lionel Briand;Prem Devanbu;Walcelio Melo

  • Fair and balanced?: bias in bug-fix datasets

    Christian Bird;Adrian Bachmann;Eirik Aune;John Duffy

  • Don't touch my code!: examining the effects of ownership on software quality

    Christian Bird;Nachiappan Nagappan;Brendan Murphy;Harald Gall

  • Quality and productivity outcomes relating to continuous integration in GitHub

    Bogdan Vasilescu;Yue Yu;Huaimin Wang;Premkumar Devanbu

  • Gender and Tenure Diversity in GitHub Teams

    Bogdan Vasilescu;Daryl Posnett;Baishakhi Ray;Mark G.J. van den Brand

  • Latent social structure in open source projects

    Christian Bird;David Pattison;Raissa D'Souza;Vladimir Filkov

  • Are deep neural networks the best choice for modeling source code

    Vincent J. Hellendoorn;Premkumar Devanbu

  • The promises and perils of mining git

    Unknown

  • The ManyBugs and IntroClass Benchmarks for Automated Repair of C Programs

    Claire Le Goues;Neal Holtschulte;Edward K. Smith;Yuriy Brun

  • Clones: what is that smell?

    Foyzur Rahman;Christian Bird;Premkumar Devanbu

  • Does distributed development affect software quality?: an empirical case study of Windows Vista

    Christian Bird;Nachiappan Nagappan;Premkumar Devanbu;Harald Gall

  • Authentic Third-party Data Publication

    Premkumar T. Devanbu;Michael Gertz;Charles U. Martel;Stuart G. Stubblebine

  • How, and why, process metrics are better

    Foyzur Rahman;Premkumar Devanbu

Frequent Co-Authors

Vladimir Filkov
Vladimir Filkov University of California, Davis
Christian Bird
Christian Bird Microsoft (United States)
Michael Gertz
Michael Gertz Heidelberg University
Bogdan Vasilescu
Bogdan Vasilescu Carnegie Mellon University
Nachiappan Nagappan
Nachiappan Nagappan Facebook (United States)
Brendan Murphy
Brendan Murphy Microsoft (United States)
Zhendong Su
Zhendong Su ETH Zurich
Baishakhi Ray
Baishakhi Ray Columbia University
Alexander L. Wolf
Alexander L. Wolf University of California, Santa Cruz
Harald C. Gall
Harald C. Gall University of Zurich

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