Technical Debt Measurement during Software Development using Sonarqube: Literature Review and a Case Study

2021 IEEE V Jornadas Costarricenses de Investigación en Computación e Informática (JoCICI) Pub Date : 2021-10-25 DOI:10.1109/jocici54528.2021.9794341

María Isabel Murillo, Marcelo Jenkins

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Abstract

Technical debt comprises the construction of poor software during the development process, potentially leading to several problems for organizations. For this reason, it is convenient to measure it and apply timely strategies to prevent unwanted consequences. Technical debt identification and measurement may be supported by static analysis tools, such as Sonarqube. This paper aims to analyze, evaluate, and apply the technical debt metrics proposed by Sonarqube. We present a literature review about technical debt measurement with this tool and describe the results of a case study. Based on the literature review and the case study results, we analyze the advantages, disadvantages, and limitations of using Sonarqube for technical debt measurement. We conclude that there are several threats to the validity on the proposed metrics, which may lead to inaccurate results. However, Sonarqube can still support technical debt management during the software development process.

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使用Sonarqube进行软件开发中的技术债务度量:文献回顾和案例研究

技术债务包括在开发过程中构建糟糕的软件，这可能会给组织带来一些问题。由于这个原因，衡量它并及时应用策略来防止不必要的后果是很方便的。技术债务识别和度量可以由静态分析工具支持，例如Sonarqube。本文旨在分析、评估和应用Sonarqube提出的技术债务度量。我们提出了关于技术债务测量的文献综述与此工具，并描述了一个案例研究的结果。基于文献综述和案例研究结果，我们分析了使用Sonarqube进行技术债务测量的优点、缺点和局限性。我们得出的结论是，对所提议的度量的有效性存在几个威胁，这可能导致不准确的结果。然而，Sonarqube仍然可以在软件开发过程中支持技术债务管理。

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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2021 IEEE V Jornadas Costarricenses de Investigación en Computación e Informática (JoCICI)

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