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作 者:孙正 尚京威 王强[1] Sun Zheng;Shang Jingwei;Wang Qiang(The Fifth Electronics Research Institute of MIIT,Guangzhou 510000)
机构地区:[1]工业和信息化部电子第五研究所,广州510000
出 处:《信息安全研究》2020年第8期744-750,共7页Journal of Information Security Research
摘 要:目前软件可靠性定量评估主要基于软件可靠性测试或真实使用中收集的故障数据进行,但是由于软件可靠性测试的测试周期很长且难以收集到足够的故障数据,限制了该项技术在实际工程中的应用;而在软件开发过程中进行测试发现的大量软件故障却由于与实际使用过程无关或没有故障时间记录而无法用于软件可靠性定量评估.根据软件可靠性测试剖面的特点提出软件可靠性测试输入空间模型,并依据该模型生成测试用例,与常规软件测试中发现的故障输入空间进行数据匹配,对这些故障数据在软件可靠性测试中可能的故障时间进行定位,使其达到了软件可靠性定量评估的条件.并通过以某型仿发动机控制软件为实验对象,验证了方法的可行性与有效性.At present,the quantitative evaluation of software reliability is mainly based on software reliability test or fault data collected in real use.However,due to the long test period of software reliability test and the difficulty in collecting enough fault data,the application of this technology in practical engineering is limited.However,a large number of software failures discovered by testing during software development cannot be used for software reliability quantitative evaluation because they are irrelevant to the actual use process or have no failure time record.In this paper,according to the characteristics of the software reliability testing profile,software reliability test input space model is proposed and based on this model to generate test cases,with conventional fault found in software testing data matching the input space,the failure data in software reliability testing possible to locate fault time,to the terms of quantitative evaluation of software reliability.The feasibility and effectiveness of the method are verified by taking the control software of an imitation engine as the experimental object.
关 键 词:故障历史 输入空间 数据匹配 故障时间定位 定量评估
分 类 号:TP311.5[自动化与计算机技术—计算机软件与理论]
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