软件过程模拟建模的衡量标准

IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Bohan Liu, He Zhang, Liming Dong, Zhiqi Wang, Shanshan Li
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引用次数: 0

摘要

软件过程仿真(SPS)已成为软件过程管理和改进的有效工具。然而,由于测量成本的负担和对领域知识的高要求,其在工业界的应用远低于研究界的预期。难以从流程实施过程中的真实数据中提取适当的度量标准是巨大的挑战之一。我们的目标是为软件过程(仿真)建模提供基于证据的过程度量支持。通过扩展我们之前的系列综述,我们进行了系统的文献综述,以便按照我们提出的 SPS 指标本体,全面了解流程建模的指标。我们确定了 131 项流程建模研究,共涉及 1975 个原始指标,并使用编码技术将其分为 21 类。我们发现,产品和流程外部指标在 SPS 建模中并不常用,而资源外部指标则被广泛使用。我们分析了指标之间的因果关系。我们发现,模型呈现出显著的多样性,因为指标之间的成对关系在 SPS 模型中所占比例均未超过 10%。我们确定了在测量中可能遇到的 17 个数据问题和 10 个应对策略。本研究的结果为流程建模人员提供了在 SPS 建模中识别和使用度量标准的循证参考,并进一步促进了流程建模背景下软件度量标准知识体系的发展。此外,这项研究并不局限于过程仿真,还可以扩展到一般的软件过程建模。将模拟度量作为标准和参考,可以进一步激励和指导软件开发人员在实践中改进过程数据的收集、管理和应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Metrics for software process simulation modeling

Software process simulation (SPS) has become an effective tool for software process management and improvement. However, its adoption in industry is less than what the research community expected due to the burden of measurement cost and the high demand for domain knowledge. The difficulty of extracting appropriate metrics with real data from process enactment is one of the great challenges. We aim to provide evidence-based support of the process metrics for software process (simulation) modeling. A systematic literature review was performed by extending our previous review series to draw a comprehensive understanding of the metrics for process modeling following our proposed ontology of metrics in SPS. We identify 131 process modeling studies that collectively involve 1975 raw metrics and classified them into 21 categories using the coding technique. We found product and process external metrics are not used frequently in SPS modeling while resource external metrics are widely used. We analyze the causal relationships between metrics. We find that the models exhibit significant diversity, as no pairwise relationship between metrics accounts for more than 10% SPS models. We identify 17 data issues may encounter in measurement and 10 coping strategies. The results of this study provide process modelers with an evidence-based reference of the identification and the use of metrics in SPS modeling and further contribute to the development of the body of knowledge on software metrics in the context of process modeling. Furthermore, this study is not limited to process simulation but can be extended to software process modeling, in general. Taking simulation metrics as standards and references can further motivate and guide software developers to improve the collection, governance, and application of process data in practice.

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来源期刊
Journal of Software-Evolution and Process
Journal of Software-Evolution and Process COMPUTER SCIENCE, SOFTWARE ENGINEERING-
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