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2822                                 Journal of Software  软件学报 Vol.31, No.9,  September 2020

         [13]    Wang JY, Zhang C, Mi XP, et al. Software reliability growth model based on Weibull distribution introduced faults. Ruan Jian Xue
             Bao/Journal of Software, 2019,30(6):1759−1777 (in Chinese with English abstract).  http://www.jos.org.cn/1000-  9825/5427.htm
             [doi: 10.13328/j.cnki.jos.005427]
         [14]    Wang J,  Zhang  C. Software reliability prediction using  a deep learning  model based on the  RNN  encoder-decoder.  Reliability
             Engineering & System Safety, 2018,170:73−82. https://doi.org/10.1016/j.ress.2017.10.019
         [15]    Huang C, Lyu M. Estimation and analysis of some generalized multiple change-point software reliability models. IEEE Trans. on
             Reliability, 2011,60(2):498−514. [doi: 10.1109/TR.2011.2134350]
         [16]    Zhu MM,  Pham H. A software reliability model with  time-dependent fault  detection and  fault  removal. Vietnam Journal of
             Computer Science, 2016,3(2):71−79. [doi: 10.1007/s40595-016-0058-0]
         [17]    Chiu KC, Huang  YS,  Lee TZ. A study of software  reliability growth  from the perspective of learning  effects.  Reliability
             Engineering & System Safety, 2008,93(10):1410−1421. [doi: 10.1016/j.ress.2007.11.004]
         [18]    Wood A. Predicting software reliability. Computer, 1996,29(11):69−77. [doi: 10.1109/2.544240]
         [19]    Pham H, Zhang X. NHPP software reliability and cost models with testing coverage. European Journal of Operational Research,
             2003,145(2):443−454. [doi: 10.1016/S0377-2217(02)00181-9]
         [20]    Hsu CJ, Huang CY, Chang JR. Enhancing software reliability modeling and prediction through the introduction of time-variable
             fault reduction factor. Applied Mathematical Modelling, 2011,35(1):506−521. [doi: 10.1016/j.apm.2010.07.017]
         [21]    Huang CY, Lyu MR. Optimal release time for software systems considering cost, testing-effort, and test efficiency. IEEE Trans. on
             Reliability, 2005,54(4):583−591. [doi: 10.1109/TR.2005.859230]
         [22]    Sharma K, Garg R, Nagpal CK, et al. Selection of optimal software reliability growth models using a distance based approach.
             IEEE Trans. on Reliability, 2010,59(2):266−276. [doi: 10.1109/TR.2010.2048657]
         [23]    Rana R,  Staron M,  Berger C,  et  al. Selecting software  reliability  growth models and improving  their  predictive accuracy  using
             historical projects data. Journal of Systems & Software, 2014, 59−78. [doi: 10.1016/j.jss.2014.08.033]
         [24]    Stringfellow C, Andrews AA. An empirical method  for  selecting  software reliability  growth models. Empirical  Software
             Engineering, 2002,7(4):319−343. [doi: 10.1023/A:1020515105175]
         [25]    Princy BA, Sridhar S. Measuring software reliability and release time using SRGM tool. Int’l Journal of Scientific Research and
             Education, 2014,2(5):785−796.
         [26]    Huang  CY,  Lyu  MR, Kuo SY.  A  unified scheme of some nonhomogenous Poisson process  models for software reliability
             estimation. IEEE Trans. on Software Engineering, 2003,29(3):261−269. [doi: 10.1109/TSE.2003.1183936].
         [27]    Pham H. Software reliability and cost models: Perspectives, comparison, and practice. European Journal of Operational Research,
             2003,149(3):475−489. [doi: 10.1016/S0377-2217(02)00498-8]
         [28]    Pham H, Nordmann L, Zhang X. A general imperfect-software-debugging model with S-shaped fault-detection rate. IEEE Trans. on
             Reliability, 1999,48(2):169−175. [doi: 10.1109/24.784276].
         [29]    Kapur  PK, Goswami DN, Bardhan A,  et  al.  Flexible software reliability  growth model with testing effort  dependent learning
             process. Applied Mathematical Modelling, 2008,32(7):1298−1307. [doi: 10.1016/j.apm.2007.04.002]
         [30]    Xu RZ. Software Reliability Engineering. Beijing: Tsinghua University Press, 2007. 18−20 (in Chinese).
         [31]    Huang CY, Lyu MR. Optimal  testing  resource allocation, and sensitivity  analysis  in software development. IEEE  Trans. on
             Reliability, 2005,54(4):592−603. [doi: 10.1109/TR.2005.858099]
         [32]    Huang CY. Performance analysis of software reliability growth models with testing-effort and change-point. Journal of Systems
             and Software, 2005,76(2):181−194. [doi: 10.1016/j.jss.2004.04.024].
         [33]    Pham H. A new software reliability model with Vtub-shaped fault-detection rate and the uncertainty of operating environments.
             Optimization, 2014,63(10):1481−1490. [doi: 10.1080/02331934.2013.854787]
         [34]    Wang JY, Wu ZB, Shu YJ, et al. Software reliability model with irregular changes of fault detection rate. Ruan Jian Xue Bao/
             Journal of Software, 2015,26(10):2465−2484 (in Chinese with English abstract). http://www.jos.org.cn/1000-9825/4746.htm [doi:
             10.13328/j.cnki.jos.004746]
         [35]    Kapur PK, Anand S, Singh  VB.  Distribution based  change-point problem  with  two types of imperfect debugging in software
             reliability. Bvicams Int’l Journal of Information Technology, 2002,1(2).
         [36]    Lin CT, Huang CY. Enhancing and measuring the predictive capabilities of testing-effort dependent software reliability models.
             Journal of Systems and Software, 2008,81(6):1025−1038. [doi: 10.1016/j.jss.2007.10.002]
         [37]    Kapur PK, Singh  VB,  Anand S,  et  al.  Software  reliability  growth model with change-point and effort control  using a  power
             function of the testing time. Int’l Journal of Production Research, 2008,46(3):771−787. [doi: 10.1080/00207540600926113]
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