文献类型：会议论文

英文题名：RELIABILITY EVALUATION MODEL OF PARKING LOT MOBILE PAYMENT SYSTEM CONSIDERING FUNCTION UPGRADATION

作者：Yang, Jianfeng Zheng, Zhoutao Wang, Xibin Yang, Nan Hu, Wensheng

第一作者：Yang, Jianfeng;杨剑锋

机构：[1] School of Data Science, Guizhou Institute of Technology, Guiyang, China; [2] School of Mathematics and Statistics, Guizhou University, Guiyang, China; [3] Key Laboratory of Electric Power Big Data of Guizhou Province, Guiyang, China; [4] Guizhou Communications Polytechnic, Guiyang, China

第一机构：贵州理工学院

通信机构：School of Mathematics and Statistics, Guizhou University, Guiyang, China

会议论文集：13th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, QR2MSE 2023

会议日期：July 26, 2023 - July 29, 2023

会议地点：Kunming, China

语种：英文

外文关键词：Competition - Electronic money - Global system for mobile communications - Software design - Software reliability

年份：2023

摘要：Within the software industry, the pace of software upgrades remains swift due to fierce market competition and rapidly evolving requirements. The fluctuating composition of development teams poses challenges in testing upgraded software. Despite this, limited attention has been devoted to testing strategies and reliability estimation for upgraded software systems, leveraging past testing data. Therefore, it is important and necessary to develop an effective testing strategy in order to ensure the product quality. In this paper, an upgradation software testing strategy adapted to requirements change will be proposed combined with the software development process of Parking Lot Mobile Payment System (PLMPS). In this approach, the testing information of the pre-versions and software functional structure will be fully used in upgradation software testing. Moreover, an upgradation software reliability model can be constructed based on proposed testing strategy. The proposed reliability model also can be applied to multi upgradation software systems. Furthermore, the proposed approach can help managers and developers generate testing cases and predict software reliability. A numerical example based on simulation data is given to illustrate its application in the modeling process. ? The Institution of Engineering & Technology 2023.