改进维护的软件因果关系映射研究

Carson Carroll, D. Falessi, Vanessa Forney, Alexa Frances, C. Izurieta, C. Seaman
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引用次数: 6

摘要

环境:软件维护对于保持现有软件系统对依赖该软件的组织或用户的功能是很重要的。目标:我们的目标是确定导致维护问题的因素,即软件特征,如代码复杂性。方法:我们提出了一项映射研究(MS),研究了在维护过程中与缺陷相关的软件特征。结果:根据我们的纳入和排除标准,检索策略确定了78篇论文,其中9篇已被纳入我们的研究,时间为1985年至2013年。我们从这些论文中提取数据,以确定研究方法,以及自变量,因变量,阻塞变量和测量变量。结论:我们的MS结果指出了在维护过程中导致缺陷的软件因素的弱证据。更有力的证据可以通过处理多个独立变量并保持软件对象不变的更可控的实验来开发。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Mapping Study of Software Causal Factors for Improving Maintenance
Context: Software maintenance is important to keep existing software systems functional for organizations or users that depend on that software. Goal: We aim to identify the factors, i.e., software characteristics such as code complexity, leading to maintenance problems. Method: We present a Mapping Study (MS) on controlled experiments that investigated software characteristics related to defects during maintenance. Results: The search strategy identified 78 papers, of which 9 have been included in our study, dated from 1985 to 2013, after applying our inclusion and exclusion criteria. We extracted data from these papers to identify the research methods, and the independent, dependent, blocked, and measured variables. Conclusions: Our MS results point to a weak evidence on software factors causing defects during maintenance. Stronger evidence can be developed via more controlled experiments that address multiple independent variables and hold the software objects constant.
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