通过IDE交互日志挖掘和提取个人软件过程度量

2018 IEEE/ACM 15th International Conference on Mining Software Repositories (MSR) Pub Date : 2018-05-28 DOI:10.1145/3196398.3196462

Alireza Joonbakhsh, A. Sami

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引用次数: 6

摘要

个人软件过程(PSP)是一种有效的软件过程改进方法，它严重依赖于手工收集软件开发数据。本文描述了一种半自动化的方法，通过从IDE交互日志中提取所需的PSP测量时间和大小来减少PSP数据收集的负担。该工具挖掘了丰富的事件数据流，因此也可以很容易地推广到其他开发环境。此外，所提出的方法适用于阶段定义变更，并创建有助于软件项目管理的活动可视化和总结。本文使用的工具和处理过的数据可在GitHub上获得:https://github.com/unknowngithubuser1/data。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Mining and Extraction of Personal Software Process Measures through IDE Interaction Logs

The Personal Software Process (PSP) is an effective software process improvement method that heavily relies on manual collection of software development data. This paper describes a semi-automated method that reduces the burden of PSP data collection by extracting the required time and size of PSP measurements from IDE interaction logs. The tool mines enriched event data streams so can be easily generalized to other developing environment also. In addition, the proposed method is adaptable to phase definition changes and creates activity visualizations and summarizations that are helpful for software project management. Tools and processed data used for this paper are available on GitHub at: https://github.com/unknowngithubuser1/data.

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2018 IEEE/ACM 15th International Conference on Mining Software Repositories (MSR)

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