使用复杂性度量和热点分析来支持软件可持续性

2022 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) Pub Date : 2022-10-01 DOI:10.1109/ISSREW55968.2022.00036

J. Willenbring, G. Walia

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引用次数: 0

摘要

软件可持续性是计算科学与工程(CSE)软件的关键。衡量可持续性是具有挑战性的，因为可持续性由许多属性组成。影响软件可持续性的一个因素是源代码的复杂性。本文介绍了一种利用复杂性数据的方法，重点关注复杂性的热点和变化，以帮助开发人员执行代码审查，并从循环复杂性的角度告知项目团队可持续性和可维护性的长期变化。我们提供了一个与四个实际pull请求相关的数据分析，以演示度量如何帮助指导和通知代码审查过程，以及如何使用数据来度量复杂度随时间的变化。

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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Using Complexity Metrics with Hotspot Analysis to Support Software Sustainability

Software sustainability is critical for Computational Science and Engineering (CSE) software. Measuring sustainability is challenging because sustainability consists of many attributes. One factor that impacts software sustainability is the complexity of the source code. This paper introduces an approach for utilizing complexity data, with a focus on hotspots of and changes in complexity, to assist developers in performing code reviews and inform project teams about longer-term changes in sustainability and maintainability from the perspective of cyclomatic complexity. We present an analysis of data associated with four real-world pull requests to demonstrate how the metrics may help guide and inform the code review process and how the data can be used to measure changes in complexity over time.

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2022 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)

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