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P2 Characterizing Software Maintenance Meetings: Information Shared, Discussion Outcomes, and Information Captured

刻画软件维护会议:共享的信息、讨论结果与捕获的信息
ICSE Proceedings of the IEEE/ACM 46th International Conference on Software Engineering2024匹配度 1/10 · 该论文属于软件工程中的人类与协作行为研究,关注维护会议中的信息共享与决策过程,与用户画像中的静态分析、Agentic 程序、LLM 交叉、浮点程序分析或贝叶斯程序分析均无直接关联。引用 2 inbox
Adriana Meza Soria, Taylor Lopez, Elizabeth Seero, Negin Mashhadi, Emily Evans, Janet Burge, André Van der Hoek
crossref: 2026-09-12

AI 速览

一句话:通过案例研究刻画软件维护会议中的信息共享、讨论结果与信息捕获。

软件维护会议是团队定期召开、处理日常站会之外但不至于单独开会的涌现问题的会议,却在软件工程文献中研究不足。本文报告一项探索性单案例研究,分析某大型医疗软件提供商连续十次维护会议。作者考察会议讨论中引入了哪些信息以及如何引入、讨论产生了哪些结果,以及哪些信息被记录以供后续使用。研究发现多样,既为组织此类会议提供实践启示,也提出进一步理解和支持这类会议的新研究方向。

问题
软件维护会议如何开展、其中信息如何共享、产生何种结果并被捕获,目前缺乏了解。
方法
对某大型医疗软件提供商连续十次维护会议进行探索性单案例研究,归纳讨论中的信息、结果与记录信息。
评估
基于十次会议的定性分析,提炼实践建议并指出未来研究方向。
原文摘要(Abstract)

A type of meeting that has been understudied in the software engineering literature to date is what we term the software maintenance meeting: a regularly scheduled team meeting in which emergent issues are addressed that are usually out of scope of the daily stand-up but not necessarily challenging enough to warrant an entirely separate meeting. These meetings tend to discuss a wide variety of topics and are crucial in keeping software development projects going, but little is known about these meetings and how they proceed. In this paper, we report on a single exploratory case study in which we analyzed ten consecutive maintenance meetings from a major healthcare software provider. We analyzed what kind of information is brought into the discussions held in these meetings and how, what outcomes arose from the discussions, and what information was captured for downstream use. Our findings are varied, giving rise to both practical considerations for those conducting these kinds of meetings and new research directions toward further understanding and supporting them.

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BibTeX
@inproceedings{paperbot11328,
  title = {Characterizing Software Maintenance Meetings: Information Shared, Discussion Outcomes, and Information Captured},
  author = {Adriana Meza Soria and Taylor Lopez and Elizabeth Seero and Negin Mashhadi and Emily Evans and Janet Burge and André Van der Hoek},
  booktitle = {ICSE},
  year = {2024},
  doi = {10.1145/3597503.3623330}
}