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Impact Analysis of the Inspection Process for Effective Defect Management in Software Development

机译:软件开发中有效缺陷管理检查过程的影响分析

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摘要

A key challenge of the software industry is to engineer software products with minimal post-deployment defects. The two successful approaches of managing defects are defect detection and defect prevention. Inspection has proven to be the most mature, valuable, and competent technique in this challenging area. An awareness of the effective implementation of inspection activity serves to be one of the best practices in the software development process. This article is an empirical analysis of various projects across several service-based and product-based software organizations. The study indicates the impact of several parameters on the effectiveness of inspection activity. These parameters include the number of inspectors, inspection time, preparation time, experience level, and skill of inspectors. An empirical analysis of the data enables one to introduce a range of Dl values chart and variation-analysis chart. This article introduces a process metric-depth of inspection (Dl-and a people metric-inspection performance metric (IPM)-to quantify the effectiveness of the inspection process and the people enabling the process. The study suggests the desirable ranges of Dl and IPM, and the experience level of inspectors to achieve a 90-percent or greater rate of defect-free product. The introduction of these metrics reflects a continual process of improvement and success level of the organization. These metrics will further pave the way for the stakeholders to have a deep visibility into the process and thereby justify the developmental cost. The article further recommends that management within the software community emphasize environmental conditions and motivational factors for enhancing the skills of inspectors.
机译:软件行业的一个关键挑战是设计具有最少部署后缺陷的软件产品。缺陷管理和缺陷预防是成功管理缺陷的两种方法。在这个充满挑战的领域中,检查已被证明是最成熟,最有价值和最胜任的技术。对检查活动的有效实施的认识是软件开发过程中的最佳实践之一。本文是对跨多个基于服务和基于产品的软件组织中的各个项目的经验分析。该研究表明了几个参数对检查活动有效性的影响。这些参数包括检查员的人数,检查时间,准备时间,经验水平和检查员的技能。对数据的经验分析使人们能够引入一系列的D1值图和变化分析图。本文介绍了检查的过程度量深度(Dl-和人员度量-检查性能度量(IPM)),以量化检查过程的有效性和启用过程的人员。研究提出了Dl和IPM的理想范围,以及达到90%或更高的无缺陷产品率的检查人员的经验水平,这些指标的引入反映了组织不断改进和成功的过程,这些指标将进一步为利益相关者铺平道路进一步建议软件社区内的管理人员强调环境条件和激励因素,以提高检查员的技能。

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