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Human Factors in the Study of Automatic Software Repair: Future Directions for Research with Industry

Authors:

Saemundur Haraldsson,

Vesna Nowack,

John WoodwardAuthors Info & Claims

ICSEW'20: Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops

Pages 285 - 286

https://doi.org/10.1145/3387940.3392176

Published: 25 September 2020 Publication History

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Abstract

Automatic software repair represents a significant development in software engineering, promising considerable potential change to the working procedures and practices of software engineers. Technical advances have been the focus of many recent publications. However, there has not been an equivalent growth of studies of human factors within automatic software repair. This position paper presents the case for increased research in this area and suggests three key focuses and approaches for a future research agenda. All three of these enable industry-based software engineers not just to provide feedback on automatic software repair tools but to participate in shaping these technologies so that they meet developer and industry needs.

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Cited By

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Langdon WWeimer WPetke JFredericks ELee SWinter EBasios MCohen MBlot AWagner MBruce BYoo SGerasimou SKrauss OHuang YGerten M(2020)Genetic Improvement @ ICSE 2020ACM SIGSOFT Software Engineering Notes10.1145/3417564.341757545:4(24-30)Online publication date: 12-Oct-2020
https://dl.acm.org/doi/10.1145/3417564.3417575

Index Terms

Human Factors in the Study of Automatic Software Repair: Future Directions for Research with Industry
1. Human-centered computing
  1. Human computer interaction (HCI)
2. Software and its engineering
  1. Software creation and management
    1. Software development techniques

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Published In

ICSEW'20: Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops

June 2020

831 pages

ISBN:9781450379632

DOI:10.1145/3387940

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 September 2020

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Short-paper
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ICSE '20

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SIGSOFT
KIISE

ICSE '20: 42nd International Conference on Software Engineering

June 27 - July 19, 2020

Seoul, Republic of Korea

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2025 IEEE/ACM 46th International Conference on Software Engineering

April 26 - May 3, 2025

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Cited By

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Langdon WWeimer WPetke JFredericks ELee SWinter EBasios MCohen MBlot AWagner MBruce BYoo SGerasimou SKrauss OHuang YGerten M(2020)Genetic Improvement @ ICSE 2020ACM SIGSOFT Software Engineering Notes10.1145/3417564.341757545:4(24-30)Online publication date: 12-Oct-2020
https://dl.acm.org/doi/10.1145/3417564.3417575

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Automatic Software Repair: A Bibliography

A critical review of "automatic patch generation learned from human-written patches": essay on the problem statement and the evaluation of automatic software repair

Human Factors Related Challenges in Software Engineering -- An Industrial Perspective