Software Reliability Assessment with Multiple Change-Point Occurrence and Imperfect Debugging Environment  
Author Shinji Inoue


Co-Author(s) Shigeru Yamada


Abstract We discuss Markovian imperfect debugging modeling for software reliability assessment with multiple changes of testing environment. Testing-time changing the testing environment is called change-point. Taking into account the effect of change-point in software reliability growth modeling is expected to improve the accuracy of software reliability assessment because the stochastic characteristics of software failureoccurrence or fault-detection phenomenon is changed at the change-point. Especially in this paper, we discuss Markovian imperfect debugging modeling under the testing situation that the multiple change-point have been occurred. Numerical examples for software reliability assessment based on our proposed approach are shown by using actual software failure-occurrence time data. And we discuss the usefulness of considering the effect of the multiple change-point into software reliability modeling by showing the estimated behavior of the mean time between software failures based on our model and existing related models.


Keywords Software reliability model, Multiple change-point occurrence, Imperfect debugging environment, Markov process
    Article #:  RQD25-132
Proceedings of 25th ISSAT International Conference on Reliability & Quality in Design
August 1-3, 2019 - Las Vegas, NV, U.S.A.