详细信息
考虑用户行为和排错延迟的多版本软件可靠性增长模型 ( EI收录)
Multi-release software reliability growth model considering end-user behavior and fault-correction time delay
文献类型:期刊文献
中文题名:考虑用户行为和排错延迟的多版本软件可靠性增长模型
英文题名:Multi-release software reliability growth model considering end-user behavior and fault-correction time delay
作者:杨剑锋 胡文生
第一作者:杨剑锋
机构:[1]贵州理工学院大数据学院,贵阳550003;[2]贵州理工学院信息网络中心,贵阳550003
第一机构:贵州理工学院大数据学院
年份:2020
卷号:40
期号:1
起止页码:262-272
中文期刊名:系统工程理论与实践
外文期刊名:Systems Engineering-Theory & Practice
收录:CSTPCD;;国家哲学社会科学学术期刊数据库;EI(收录号:20201008258072);Scopus(收录号:2-s2.0-85080108114);北大核心:【北大核心2017】;CSSCI:【CSSCI2019_2020】;CSCD:【CSCD2019_2020】;
基金:National Natural Science Foundation of China (71901078); Technology Foundation of Guizhou Province (No. QianKeHeJZi[2015]2064, No. QianKeHeLHZi[2016]7108).
语种:中文
中文关键词:软件可靠性;用户行为;排错延迟;固有故障;外在故障
外文关键词:software reliability;end-user behavior;fault-correction time delay;inherent fault;external fault
摘要:软件在测试阶段和使用阶段操作环境的差别导致软件测试可靠性和运行可靠性不完全相同.软件在发布后的使用和维护阶段,软件可靠性的增长不仅体现在软件固有故障的排除,而且用户对软件的熟悉程度也会影响软件的可靠性.本文研究了软件固有故障检测过程、固有故障纠正过程和外在失效过程的特征,建立了考虑用户行为和排错延迟下的多版本软件可靠性增长模型.通过一组来自于开源软件用户缺陷跟踪系统中的真实数据进行数值分析,试验结果表明提出的模型具有较好的效果.
Most of traditional software reliability models assume that the testing environment and the operating environment are same,that is,the software reliability model using failure data during the testing phase can predict the operational reliability.It is well known that correcting bugs will improve software reliability,while another phenomenon has often been observed:The failure rate has decreased as observed by the end-users while the users are more familiar with the system.In this paper,the inherent faultdetection process(IFDP),inherent fault-correction process(IFCP) and external fault-detection process(EFDP) are discussed.Moreover,multi-release software reliability growth model considering end-user behavior and fault-correction time delay is proposed.By using the real data from end-users bug tracking data for open source software,the numerical results show that the proposed model is useful and powerful.
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