Software reliability modeling with weibull-type testing-effort and multiple change-points

被引:0
|
作者
Lin, Chu-Ti [1 ]
Huang, Chin-Yu [1 ]
机构
[1] Natl Tsing Hua Univ, Dept Comp Sci, Hsinchu 30043, Taiwan
关键词
change-point; non-homogeneous Poisson process (NHPP); software reliability growth model (SRGM); software testing;
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 is defined as the probability of failure-free software operation for a specified period of time in a specified environment. Over the past 30 years, many software reliability growth models (SRGMs) have been proposed for estimation of reliability growth of products during software development processes. SRGMs proposed in the literature took into consideration the amount of testing-effort spent on software testing which can be depicted as a Weibull-type curve. However, in reality, the consumption rate of testing-effort expenditures may not be a constant and could be changed at some time points. Therefore, in this paper, we will incorporate the concept of multiple change-points into the Weibull-type testing-effort function. New model is proposed and the applicability of proposed model is demonstrated through real software failure data set. Our experimental results show that the proposed model has a fairly accurate prediction capability.
引用
收藏
页码:1386 / 1391
页数:6
相关论文
共 50 条
  • [1] Integrating generalized Weibull-type testing-effort function and multiple change-points into software reliability growth models
    Lin, CT
    Huang, CY
    Chang, JR
    [J]. 12TH ASIA-PACIFIC SOFTWARE ENGINEERING CONFERENCE, PROCEEDINGS, 2005, : 431 - 438
  • [2] MARKOVIAN SOFTWARE RELIABILITY MODELING WITH TESTING-EFFORT
    Maehashi, Kenta
    Tokuno, Koichi
    Yamada, Shigeru
    [J]. 14TH ISSAT INTERNATIONAL CONFERENCE ON RELIABILITY AND QUALITY IN DESIGN, PROCEEDINGS, 2008, : 193 - 197
  • [3] Sensitivity analysis of release time of software reliability models incorporating testing effort with multiple change-points
    Li, Xiang
    Xie, Min
    Ng, Szu Hui
    [J]. APPLIED MATHEMATICAL MODELLING, 2010, 34 (11) : 3560 - 3570
  • [4] Software reliability modeling with testing-effort function and imperfect debugging
    Qian, Zhao
    Jun, Zheng
    Jing, Li
    [J]. Telkomnika - Indonesian Journal of Electrical Engineering, 2012, 10 (08): : 1992 - 1998
  • [5] Analysis of incorporating logistic testing-effort function into software reliability modeling
    Huang, CY
    Kuo, SY
    [J]. IEEE TRANSACTIONS ON RELIABILITY, 2002, 51 (03) : 261 - 270
  • [6] Stochastic differential equation modeling for testing-effort dependent software reliability assessment
    Inoue, S
    Yamada, S
    [J]. Tenth ISSAT International Conference on Reliability and Quality in Design, Proceedings, 2004, : 256 - 260
  • [7] SOFTWARE-RELIABILITY GROWTH-MODELS WITH TESTING-EFFORT
    YAMADA, S
    OHTERA, H
    NARIHISA, H
    [J]. IEEE TRANSACTIONS ON RELIABILITY, 1986, 35 (01) : 19 - 23
  • [8] Software Reliability Modeling Incorporating Log-Logistic Testing-Effort with Imperfect Debugging
    Ahmad, N.
    Khan, M. G. M.
    Rafi, L. S.
    [J]. INTERNATIONAL CONFERENCE ON MODELING, OPTIMIZATION, AND COMPUTING, 2010, 1298 : 651 - +
  • [9] Testing-Effort Dependent Software Reliability Model for Distributed Systems
    Shatnawi, Omar
    [J]. INTERNATIONAL JOURNAL OF DISTRIBUTED SYSTEMS AND TECHNOLOGIES, 2013, 4 (02) : 1 - 14
  • [10] An assessment of testing-effort dependent software reliability growth models
    Huang, Chin-Yu
    Kuo, Sy-Yen
    Lyu, Michael R.
    [J]. IEEE TRANSACTIONS ON RELIABILITY, 2007, 56 (02) : 198 - 211