A Synthesis of Coverage Testing and Modelling in Software Reliability Estimation

软件可靠性评估中覆盖率测试和建模的综合

• 批准号: 9311862
• 负责人: Aditya Mathur
• 金额: $ 12万
• 依托单位: Purdue Research Foundation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1994
• 资助国家: 美国
• 起止时间: 1994-09-15 至 1997-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9311862&HistoricalAwards=false
• 关键词: Synthesis; Coverage; Testing; Modelling; Software

9313861 Singpurwalla Techniques for estimating software reliability abound. Over a dozen models exist for estimating software reliability. Most of these models primarily use the failure time and fault data obtained during program testing. Usually these data are used to estimate the parameter of the model, and the parameters are then used to estimate the probability of program failure during an exposure period. This probability is widely used in the literature as a measure of software reliability. In contrast to such black-box models, white-box models require a knowledge of the program structure. This research seeks to develop and evaluate white-box models that make use of code structure and coverage information obtained during module and system or sub-system testing, in addition to the failure time and fault data. ***

小行星9313861 评估软件可靠性的技术有很多。 有十几种模型用于评估软件可靠性。 这些模型主要利用程序测试过程中获得的故障时间和故障数据。 通常这些数据被用来估计模型的参数，然后这些参数被用来估计暴露期间程序失败的概率。 该概率在文献中被广泛用作软件可靠性的度量。 与这种黑盒模型相反，白盒模型需要程序结构的知识。 本研究旨在开发和评估白盒模型，利用模块和系统或子系统测试过程中获得的代码结构和覆盖信息，除了故障时间和故障数据。 ***