Effectiveness and Efficiency of Fault Removal Techniques

故障排除技术的有效性和效率

• 批准号: 9706058
• 负责人: Ronald Leach
• 金额: $ 4.87万
• 依托单位: Howard University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-09-01 至 1998-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9706058&HistoricalAwards=false
• 关键词: Effectiveness; Efficiency; Fault; Removal; Techniques

Because lack of control and replication impede many software engineering studies, there is a need to design experiments that take advantage of completed projects (and the associated data), rather than "live" projects (where the goal of getting the product out the door may compete with data capture and analysis goals). The research project involves conceiving, designing and preparing a collection of large-scale, multi-location retrospective experiments. The research focuses on four fault identification techniques (requirements inspection, formal specification, formal design, and fault injection), building upon existing work by determining which methods are more effective and in what contexts. In particular, the project seeks evidence about which method is most effective and/or efficient at fault identification and removal. The research involves a consortium of industrial and academic partners, all affiliated with Howard University's Center for Research in Evaluating Software Technology. Where possible, parts of the experimental design will be tested by running parts of the experiment with student projects to confirm its feasibility and to help direct the preparatory efforts. The results should have wide impact, both on the community of practitioners (who will find the results useful for guiding resource allocation decisions) and researchers (who will note the feasibility of doing software engineering field experiments with retrospective data).

由于缺乏控制和复制阻碍了许多软件工程研究，因此需要设计利用已完成项目（和相关数据）的实验，而不是“实时”项目（其中将产品推出的目标可能与数据捕获和分析目标竞争）。 该研究项目涉及构思，设计和准备一系列大规模，多地点的回顾性实验。 研究重点是四个故障识别技术（需求检查，正式规格说明，正式设计，故障注入），建立在现有的工作，确定哪些方法是更有效的，在什么情况下。 特别是，该项目寻求关于哪种方法在故障识别和消除方面最有效和/或最高效的证据。 这项研究涉及工业和学术合作伙伴的联盟，所有附属于霍华德大学评估软件技术研究中心。 在可能的情况下，部分实验设计将通过运行部分实验与学生项目进行测试，以确认其可行性，并帮助指导准备工作。 结果应该有广泛的影响，无论是在社区的从业者（谁会发现结果有用的指导资源分配决策）和研究人员（谁会注意到做软件工程的可行性，回顾性数据的现场实验）。