Towards developer-centered automatic program repair: findings from Bloomberg

Created by W.Langdon from gp-bibliography.bib Revision:1.8081

@InProceedings{Winter:2022:Bloomberg,

• author = "Emily Rowan Winter and Vesna Nowack and David Bowes and Steve Counsell and Tracy Hall and Saemundur Haraldsson and John Woodward and Serkan Kirbas and Etienne Windels and Olayori McBello",
• title = "Towards developer-centered automatic program repair: findings from {Bloomberg}",
• booktitle = "Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering",
• year = "2022",
• pages = "1578--588",
• address = "Singapore",
• series = "ESEC/FSE 2022",
• publisher = "Association for Computing Machinery",
• keywords = "genetic algorithms, genetic programming, genetic improvement, APR, fixie, human factors, automatic program repair, human factors, XAI, qualitative methods",
• isbn13 = "9781450394130",
• DOI = "doi:10.1145/3540250.3558953",
• size = "11",
• abstract = "we report qualitative research into automatic program repair (APR) at Bloomberg. Six focus groups were conducted with a total of seventeen participants (including both developers of the APR tool and developers using the tool) to consider: the development at Bloomberg of a prototype APR tool (Fixie); developers early experiences using the tool; and developers perspectives on how they would like to interact with the tool in future. APR is developing rapidly and it is important to understand in greater detail developers' experiences using this emerging technology. we provide in-depth, qualitative data from an industrial setting. We found that the development of APR at Bloomberg had become increasingly user-centered, emphasising how fixes were presented to developers, as well as particular features, such as customisability. From the focus groups with developers who had used Fixie, we found particular concern with the pragmatic aspects of APR, such as how and when fixes were presented to them. Based on our findings, we make a series of recommendations to inform future APR development, highlighting how APR tools should start small, be customisable, and fit with developers workflows. We also suggest that APR tools should capitalise on the promise of repair bots and draw on advances in explainable AI.",

}

Genetic Programming entries for Emily Winter Vesna Nowack David Bowes Steve Counsell Tracy Hall Saemundur Oskar Haraldsson John R Woodward Serkan Kirbas Etienne Windels Olayori McBello

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