1993 Fiscal Year Final Research Report Summary
A STUDY ON PRACTICAL SOFTWARE RELIABILITY ASSESSMENT MODELING AND ITS APPLICATON TO PROJECT MANAGEMENT
| Project/Area Number |
04650316
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| Research Category |
Grant-in-Aid for General Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Research Field |
情報工学
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| Research Institution | TOTTORI UNIVERSITY (1993)
Hiroshima University (1992) |
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Principal Investigator |
YAMADA Shigeru TOTTORI UNIVERSITY, FACULTY OF ENGINEERING PROFESSOR, 工学部, 教授 (50166708)
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| Project Period (FY) |
1992 – 1993
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| Keywords | Software reliability / Reliability measurement and assessment / Software reliability growth model / Project management / Testing-process control / Optimal release problem / Reliability data analysis / Software failure and fault |
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| Research Abstract |
Software reiability assessment is very important in developing a quality software product effciently. This research investigates the quantitative measurement and assessment of software reliability more practically than before. The techniques are based on the software reliability growth models which are characterized by stochastic processes such as a nonhomogeneous Poissn process. By making the assumptions on which they are based more realistic, the odels discussed here were designed to describe a software fault-detection process or a software failure-occurrence process during the testing phase of software development. Further, based on the above research results, optimal software release problem and testingprocess control were discussed. That is, we studied the following ten usbjects and culd obtain the useful research results :
(1) Summarizing existing software reliability growth models.
(2) Software reliability assessent in imperfect debugging environment.
(3) Stochastic software reliability growth odeling by using a Gompertz curve.
(4) Software reliability growth modeling with fault detectability.
(5) Software reliability growth modeling by using stochastic differential equations.
(6) Quantifying software availability.
(7) Generalizing a delayd S-shaped software reliability growth model.
(8) Software reliability measurement and assessment with testing-effort expenditures and prior-information on initial fault content.
(9) Predicting optimal software release times.
(10) Formulating and solving optimal testing-effort allocation problems.
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