A roadmap for software maintainability measurement

Juliana Saraiva
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引用次数: 13

Abstract

Object-Oriented Programming (OOP) is one of the most used programming paradigms. Thus, researches dedicated in improvement of software quality that adhere to this paradigm are demanded. Complementarily, maintainability is considered a software attribute that plays an important role in its quality level. In this context, Object-Oriented Software Maintainability (OOSM) has been studied through years and several researchers proposed a high number of metrics to measure it. Nevertheless, there is no standardization or a catalogue to summarize all the information about these metrics, helping the researchers to make decision about which metrics can be adopted to perform their experiments in OOSM. Actually, distinct areas in both academic and industrial environment, such as Software Development, Project Management, and Software Research can adopt them to support decision-making processes. Thus, this work researched about the usage of OOSM metrics in academia and industry in order to help researchers in making decision about the metrics suite to be adopted. We found 570 OOSM metrics. Additionally, as a preliminary result we proposed a catalog with 36 metrics that were most used in academic works/experiments, trying to guide researchers with their decision-make about which metrics are more indicated to be adopted in their experiments.
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软件可维护性度量的路线图
面向对象编程(OOP)是最常用的编程范式之一。因此,需要对遵循这一范式的软件质量改进进行专门的研究。与之相辅相成的是,可维护性被认为是软件的一个属性,在其质量级别中扮演着重要的角色。在这种背景下,面向对象软件可维护性(OOSM)已经被研究了很多年,并且一些研究者提出了大量的度量方法来度量它。然而,没有标准化或目录来总结关于这些指标的所有信息,帮助研究人员决定可以采用哪些指标来执行他们在OOSM中的实验。实际上,学术和工业环境中的不同领域,如软件开发、项目管理和软件研究可以采用它们来支持决策过程。因此,本工作研究了OOSM度量在学术界和工业界的使用情况,以帮助研究人员对将要采用的度量套件做出决策。我们找到了570个OOSM指标。此外,作为初步结果,我们提出了一个包含36个在学术作品/实验中使用最多的指标的目录,试图指导研究人员决策哪些指标更有可能在他们的实验中采用。
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