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Documents authored by Pradel, Michael

Document
DOI: 10.4230/DagRep.14.4.108
Code Search (Dagstuhl Seminar 24172)

Authors: Satish Chandra, Michael Pradel, and Kathryn T. Stolee

Published in: Dagstuhl Reports, Volume 14, Issue 4 (2024)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar "Code Search" (24172). The seminar brought together researchers and practitioners working on techniques that enable software developers to find code and artifacts related to code. The participants discussed the state of the art in code search, identified open problems, and discussed future directions for research and practice. The seminar was structured with keynote talks, short talks, and breakout groups. Breakout groups identified how researchers can situate their code search research in terms of the targeted user groups, the access point for the developer, and the stage of software development that is most relevant to the code search tasks. Synergies between generative AI and Code Search were discussed, concluding that for some users and some tasks, generative AI can work with Code Search to enhance the developer experience and effectiveness. For other tasks, code search without generative AI would be more effective because of concerns regarding data provenance, update frequency, privacy, and the need for correctness.
Cite as

Satish Chandra, Michael Pradel, and Kathryn T. Stolee. Code Search (Dagstuhl Seminar 24172). In Dagstuhl Reports, Volume 14, Issue 4, pp. 108-123, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@Article{chandra_et_al:DagRep.14.4.108,
  author =	{Chandra, Satish and Pradel, Michael and Stolee, Kathryn T.},
  title =	{{Code Search (Dagstuhl Seminar 24172)}},
  pages =	{108--123},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2024},
  volume =	{14},
  number =	{4},
  editor =	{Chandra, Satish and Pradel, Michael and Stolee, Kathryn T.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.14.4.108},
  URN =		{urn:nbn:de:0030-drops-213505},
  doi =		{10.4230/DagRep.14.4.108},
  annote =	{Keywords: code reuse, code search}
}
Document
DOI: 10.4230/DagRep.13.2.20
Programming Language Processing (Dagstuhl Seminar 23062)

Authors: Michael Pradel, Baishakhi Ray, Charles Sutton, and Eran Yahav

Published in: Dagstuhl Reports, Volume 13, Issue 2 (2023)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 23062 "Programming Language Processing" (PLP). The seminar brought together researchers and practitioners from three communities-software engineering, programming languages, and natural language processing- providing a unique opportunity for cross-fertilization and inter-disciplinary progress. We discussed machine learning models of code, integrating learning-based and traditional program analysis, and learning from natural language information associated with software. The seminar lead to a better understanding of the commonalities and differences between natural and programming languages, and an understanding of the challenges and opportunities in industry adoption of PLP.
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Michael Pradel, Baishakhi Ray, Charles Sutton, and Eran Yahav. Programming Language Processing (Dagstuhl Seminar 23062). In Dagstuhl Reports, Volume 13, Issue 2, pp. 20-32, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@Article{pradel_et_al:DagRep.13.2.20,
  author =	{Pradel, Michael and Ray, Baishakhi and Sutton, Charles and Yahav, Eran},
  title =	{{Programming Language Processing (Dagstuhl Seminar 23062)}},
  pages =	{20--32},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2023},
  volume =	{13},
  number =	{2},
  editor =	{Pradel, Michael and Ray, Baishakhi and Sutton, Charles and Yahav, Eran},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.13.2.20},
  URN =		{urn:nbn:de:0030-drops-191799},
  doi =		{10.4230/DagRep.13.2.20},
  annote =	{Keywords: ML4PL, ML4SE, Neural Software Analysis}
}
Document
DOI: 10.4230/DARTS.3.2.0
Front Matter - ECOOP 2017 Artifacts, Table of Contents, Preface, Artifact Evaluation Committee

Authors: Philipp Haller, Michael Pradel, and Tijs van der Storm

Published in: DARTS, Volume 3, Issue 2, Special Issue of the 31st European Conference on Object-Oriented Programming (ECOOP 2017)

Abstract
Front Matter - ECOOP 2017 Artifacts, Table of Contents, Preface, Artifact Evaluation Committee
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Special Issue of the 31st European Conference on Object-Oriented Programming (ECOOP 2017). Dagstuhl Artifacts Series (DARTS), Volume 3, Issue 2, pp. 0:i-0:xii, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)

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@Article{haller_et_al:DARTS.3.2.0,
  author =	{Haller, Philipp and Pradel, Michael and van der Storm, Tijs},
  title =	{{ Front Matter - ECOOP 2017 Artifacts, Table of Contents, Preface, Artifact Evaluation Committee}},
  pages =	{0:i--0:xii},
  journal =	{Dagstuhl Artifacts Series},
  ISSN =	{2509-8195},
  year =	{2017},
  volume =	{3},
  number =	{2},
  editor =	{Haller, Philipp and Pradel, Michael and van der Storm, Tijs},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DARTS.3.2.0},
  URN =		{urn:nbn:de:0030-drops-72813},
  doi =		{10.4230/DARTS.3.2.0},
  annote =	{Keywords: Front Matter - ECOOP 2017 Artifacts, Table of Contents, Preface, Artifact Evaluation Committee}
}
Document
DOI: 10.4230/DagRep.7.1.19
Automated Program Repair (Dagstuhl Seminar 17022)

Authors: Sunghun Kim, Claire Le Goues, Michael Pradel, and Abhik Roychoudhury

Published in: Dagstuhl Reports, Volume 7, Issue 1 (2017)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 17022 "Automated Program Repair". The seminar participants presented and discussed their research through formal and informal presentations. In particular, the seminar covered work related to search-based program repair, semantic program repair, and repair of non-functional properties. As a result of the seminar, several participants plan to launch various follow-up activities, such as a program repair competition, which would help to further establish and guide this young field of research.
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Sunghun Kim, Claire Le Goues, Michael Pradel, and Abhik Roychoudhury. Automated Program Repair (Dagstuhl Seminar 17022). In Dagstuhl Reports, Volume 7, Issue 1, pp. 19-31, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)

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@Article{kim_et_al:DagRep.7.1.19,
  author =	{Kim, Sunghun and Le Goues, Claire and Pradel, Michael and Roychoudhury, Abhik},
  title =	{{Automated Program Repair (Dagstuhl Seminar 17022)}},
  pages =	{19--31},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2017},
  volume =	{7},
  number =	{1},
  editor =	{Kim, Sunghun and Le Goues, Claire and Pradel, Michael and Roychoudhury, Abhik},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.7.1.19},
  URN =		{urn:nbn:de:0030-drops-71767},
  doi =		{10.4230/DagRep.7.1.19},
  annote =	{Keywords: Program repair, program analysis, software engineering}
}
Document
DOI: 10.4230/LIPIcs.ECOOP.2015.519
The Good, the Bad, and the Ugly: An Empirical Study of Implicit Type Conversions in JavaScript

Authors: Michael Pradel and Koushik Sen

Published in: LIPIcs, Volume 37, 29th European Conference on Object-Oriented Programming (ECOOP 2015)

Abstract
Most popular programming languages support situations where a value of one type is converted into a value of another type without any explicit cast. Such implicit type conversions, or type coercions, are a highly controversial language feature. Proponents argue that type coercions enable writing concise code. Opponents argue that type coercions are error-prone and that they reduce the understandability of programs. This paper studies the use of type coercions in JavaScript, a language notorious for its widespread use of coercions. We dynamically analyze hundreds of programs, including real-world web applications and popular benchmark programs. We find that coercions are widely used (in 80.42% of all function executions) and that most coercions are likely to be harmless (98.85%). Furthermore, we identify a set of rarely occurring and potentially harmful coercions that safer subsets of JavaScript or future language designs may want to disallow. Our results suggest that type coercions are significantly less evil than commonly assumed and that analyses targeted at real-world JavaScript programs must consider coercions.
Cite as

Michael Pradel and Koushik Sen. The Good, the Bad, and the Ugly: An Empirical Study of Implicit Type Conversions in JavaScript. In 29th European Conference on Object-Oriented Programming (ECOOP 2015). Leibniz International Proceedings in Informatics (LIPIcs), Volume 37, pp. 519-541, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2015)

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@InProceedings{pradel_et_al:LIPIcs.ECOOP.2015.519,
  author =	{Pradel, Michael and Sen, Koushik},
  title =	{{The Good, the Bad, and the Ugly: An Empirical Study of Implicit Type Conversions in JavaScript}},
  booktitle =	{29th European Conference on Object-Oriented Programming (ECOOP 2015)},
  pages =	{519--541},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-939897-86-6},
  ISSN =	{1868-8969},
  year =	{2015},
  volume =	{37},
  editor =	{Boyland, John Tang},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ECOOP.2015.519},
  URN =		{urn:nbn:de:0030-drops-52367},
  doi =		{10.4230/LIPIcs.ECOOP.2015.519},
  annote =	{Keywords: Types, Type coercions, JavaScript, Dynamically typed languages}
}
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