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A Taxonomy System to Identify Human Error Causes for Software Defects

机译：分类系统，以识别软件缺陷的人为错误原因

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摘要

The identification of root causes is critical for software organizations to prevent defects and improve software quality. Human error is thought to be a leading cause of software defects inducements. However, no integrated classification system exists targeting to identify human errors of software engineers. The present study aims to develop a valid taxonomy and integrated into corresponding data collecting system for China Aviation Software Industry (CASI). The taxonomy is developed by a structural analysis based on cognition models. It is evaluated and evolved based on the feedback from the potential users by interview. Then it is put into trial application and assessed in 9 companies. The results show that the taxonomy system of software developers (TSSD) appears to be a reliable and useful system for studying human error in CASI. It has potential application value in defect causal analysis (DCA) for the generalized software industry.
机译：根本原因的识别对于软件组织预防缺陷和提高软件质量至关重要。人为错误被认为是导致软件缺陷的主要原因。但是，不存在旨在识别软件工程师的人为错误的集成分类系统。本研究旨在开发一种有效的分类法，并将其集成到中国航空软件业（CASI）的相应数据收集系统中。通过基于认知模型的结构分析来开发分类法。它是根据潜在用户通过访谈获得的反馈来评估和发展的。然后将其投入试用，并在9家公司进行评估。结果表明，软件开发人员分类系统（TSSD）似乎是研究CASI中人为错误的可靠且有用的系统。它在通用软件行业的缺陷因果分析（DCA）中具有潜在的应用价值。

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