A simplified analysis method for software testing result

被引:0
|
作者
Zhang Zhonglin [1 ]
Jia Limin [1 ]
机构
[1] Lanzhou Jiaotong Univ, Sch Elect & Informat Engn, Lanzhou 730070, Peoples R China
来源
Advanced Computer Technology, New Education, Proceedings | 2007年
关键词
software reliability; Markov Chain; software testing; classical probability model;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Software reliability test is one of the important parts in the process of the software designing. In the course of operating the software model, its transfer is orderly and every change in the sequence predicts the abnormity of the software. You can analyze the ordinal data with Markov Chain, its accuracy of predication is very sensitive to the change of the sequence, so it is a very useful method to analyze the software testing result, but the result is a little trivial. On the basis of Markov Chain, this paper is to change the matter about the software testing result analyzing to that about the classical probability. By the mathematics method, the software testing is simplified and thus reduces the complexity of the test, accelerates the generation of the testing case, shortens the period of the software testing and solves the difficulties of simplifying the testing case sets. From the cases, this method is proved relatively practical and efficient.
引用
收藏
页码:947 / 951
页数:5
相关论文
共 50 条
  • [41] Empirical Measurement of the Software Testing and Reliability
    Zou Feng-zhong 1
    2. School of Computer
    WuhanUniversityJournalofNaturalSciences, 2004, (01) : 23 - 26
  • [42] Muskit: A Mutation Analysis Tool for Quantum Software Testing
    Mendiluze, Enaut
    Ali, Shaukat
    Arcaini, Paolo
    Yue, Tao
    2021 36TH IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMATED SOFTWARE ENGINEERING ASE 2021, 2021, : 1266 - 1270
  • [43] Complex Software Testing Analysis using International Standards
    Masuda, Satoshi
    Nishi, Yasuharu
    Suzuki, Kazuhiro
    2020 IEEE 13TH INTERNATIONAL CONFERENCE ON SOFTWARE TESTING, VERIFICATION AND VALIDATION WORKSHOPS (ICSTW), 2020, : 241 - 246
  • [44] A study of operational and testing reliability in software reliability analysis
    Yang, B
    Xie, M
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2000, 70 (03) : 323 - 329
  • [45] MODELING AND ANALYSIS OF A SOFTWARE SYSTEM WITH IMPROVEMENTS IN THE TESTING PHASE
    KUMAR, S
    ZEEPHONGSEKUL, P
    BALASUBRAMANIAN, S
    MATHEMATICAL AND COMPUTER MODELLING, 1995, 22 (10-12) : 183 - 191
  • [46] A Decade of Intelligent Software Testing Research: A Bibliometric Analysis
    Boukhlif, Mohamed
    Hanine, Mohamed
    Kharmoum, Nassim
    ELECTRONICS, 2023, 12 (09)
  • [47] Software Testing
    Bryce, Renee
    Kuhn, Rick
    COMPUTER, 2014, 47 (02) : 21 - 22
  • [48] Performance analysis of software reliability growth models with testing-efrort and change-point
    Huang, CY
    JOURNAL OF SYSTEMS AND SOFTWARE, 2005, 76 (02) : 181 - 194
  • [49] Teaching Software Testing Skills: Metamorphic Testing as Vehicle for Creativity and Effectiveness in Software Testing
    Towey, Dave
    Chen, Tsong Yueh
    2015 IEEE INTERNATIONAL CONFERENCE ON TEACHING, ASSESSMENT, AND LEARNING FOR ENGINEERING (TALE), 2015, : 161 - 162
  • [50] Software Testing and Software Fault Injection
    Kooli, Maha
    Bosio, Alberto
    Benoit, Pascal
    Torres, Lionel
    2015 10TH IEEE INTERNATIONAL CONFERENCE ON DESIGN & TECHNOLOGY OF INTEGRATED SYSTEMS IN NANOSCALE ERA (DTIS), 2015,