Issues and Opportunities for Human Error-Based Requirements Inspections: An Exploratory Study

Vaibhav Anu, G. Walia, Wenhua Hu, Jeffrey C. Carver, Gary L. Bradshaw
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引用次数: 4

Abstract

[Background] Software inspections are extensively used for requirements verification. Our research uses the perspective of human cognitive failures (i.e., human errors) to improve the fault detection effectiveness of traditional fault-checklist based inspections. Our previous evaluations of a formal human error based inspection technique called Error Abstraction and Inspection (EAI) have shown encouraging results, but have also highlighted a real need for improvement. [Aims and Method] The goal of conducting the controlled study presented in this paper was to identify the specific tasks of EAI that inspectors find most difficult to perform and the strategies that successful inspectors use when performing the tasks. [Results] The results highlighted specific pain points of EAI that can be addressed by improving the training and instrumentation.
基于人为错误的需求检查的问题和机会:一项探索性研究
【背景】软件检查被广泛用于需求验证。我们的研究使用人类认知故障(即人为错误)的角度来提高传统的基于故障检查表的故障检测效率。我们之前对一种正式的基于人为错误的检查技术(称为错误抽象和检查(error Abstraction and inspection, EAI))的评估显示了令人鼓舞的结果,但也强调了改进的实际需要。[目的和方法]本文提出的对照研究的目标是确定检查人员最难执行的EAI特定任务,以及成功的检查人员在执行任务时使用的策略。[结果]结果突出了EAI的特定痛点,可以通过改进培训和器械来解决。
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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