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3rd APR@ICSE 2022: Pittsburgh, PA, USA

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3rd IEEE/ACM International Workshop on Automated Program Repair, APR@ICSE 2022, Pittsburgh, PA, USA, May 19, 2022. IEEE 2022, ISBN 978-1-4503-9285-3
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Mark Harman:
Scaling Genetic Improvement and Automated Program Repair. 1-7
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Sungmin Kang, Shin Yoo:
Language Models Can Prioritize Patches for Practical Program Patching. 8-15
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Ali Ghanbari:
Revisiting Object Similarity-based Patch Ranking in Automated Program Repair: An Extensive Study. 16-23
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Alcides Fonseca, Máximo Oliveira:
Figra: Evaluating a larger search space for Cardumen in Automatic Program Repair. 24-30
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Amirfarhad Nilizadeh, Gary T. Leavens:
Be Realistic: Automated Program Repair is a Combination of Undecidable Problems. 31-32
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Madeline Endres, Pemma Reiter, Stephanie Forrest, Westley Weimer:
What Can Program Repair Learn From Code Review? 33-37
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Francisco Ribeiro, Rui Abreu, João Saraiva:
Framing Program Repair as Code Completion. 38-45
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Gareth Bennett, Tracy Hall, David Bowes:
Some Automatically Generated Patches are More Likely to be Correct than Others: An Analysis of Defects4J Patch Features. 46-52
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Qusay Idrees Sarhan:
Enhancing Spectrum Based Fault localization Via Emphasizing Its Formulas With Importance Weight. 53-60
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Márk Lajkó, Viktor Csuvik, László Vidács:
Towards JavaScript program repair with Generative Pre-trained Transformer (GPT-2). 61-68
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Julian Aron Prenner, Hlib Babii, Romain Robbes:
Can OpenAI's Codex Fix Bugs?: An evaluation on QuixBugs. 69-75

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