Software Reliability Measurement with Prior - Information on Initial Fault Content

• Item type: Journal(1)
• 公開日: 1993-07-15
• タイトル: Software Reliability Measurement with Prior - Information on Initial Fault Content
• タイトル / 言語: en
• タイトル: Software Reliability Measurement with Prior - Information on Initial Fault Content
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: 論文
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_6501
• 資源タイプ: journal article
• その他タイトル / その他のタイトル: ソフトウェア工学
• 著者所属: Department of Industrial and Systems Engineering Faculty of Engineering Hiroshima University
• 著者所属: Department of Industrial and Systems Engineering Faculty of Engineering Hiroshima University
• 著者所属: Department of Applied Mathematics and Physics Faculty of Engineering Kyoto University
• 著者所属: Department of Industrial and Systems Engineering Faculty of Engineering Hiroshima University
• 著者所属(英): en
• 著者所属(英): Department of Industrial and Systems Engineering, Faculty of Engineering, Hiroshima University
• 著者所属(英): en
• 著者所属(英): Department of Industrial and Systems Engineering, Faculty of Engineering, Hiroshima University
• 著者所属(英): en
• 著者所属(英): Department of Applied Mathematics and Physics, Faculty of Engineering, Kyoto University
• 著者所属(英): en
• 著者所属(英): Department of Industrial and Systems Engineering, Faculty of Engineering, Hiroshima University
• 著者名: Mitsuhiro, Kimura; Shigeru, Yamada; Hiroaki, Tanaka; Shunji, Osaki
• 著者名(英): Mitsuhiro, Kimura; Shigeru, Yamada; Hiroaki, Tanaka; Shunji, Osaki
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: Most existing software reliability growth models have been restricted in use with respect to the software reliability assessments during the later stages of integration or system testing. By introducing the prior probability distribution on the initial fault content in a software system software reliability growth modeling as a binomial model is discussed here; allowing us to assess software reliability even during the earlier stage of testing. The model is described by a nonhomogeneous Markov process based on the assuinption that the fault-detection rate is proportional to the number of remaining faults in the system. In particular assuming the prior distribution to be a Poisson and a binomial distributions we discuss the software reliability measurement. Several assessment measures for software reliability and the maximum-likelihood estimates for the required model parameters are derived. The application of this model is demonstrated by analyzing a set of actual fault-detection data observed during integration testing.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: Most existing software reliability growth models, have been restricted in use with respect to the software reliability assessments during the later stages of integration or system testing. By introducing the prior probability distribution on the initial fault content in a software system, software reliability growth modeling as a binomial model is discussed here; allowing us to assess software reliability even during the earlier stage of testing. The model is described by a nonhomogeneous Markov process based on the assuinption that the fault-detection rate is proportional to the number of remaining faults in the system. In particular, assuming the prior distribution to be a Poisson and a binomial distributions, we discuss the software reliability measurement. Several assessment measures for software reliability and the maximum-likelihood estimates for the required model parameters are derived. The application of this model is demonstrated by analyzing a set of actual fault-detection data observed during integration testing.
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AN00116647
• 書誌情報: 情報処理学会論文誌; 巻 34, 号 7, p. 1601-1609, 発行日 1993-07-15
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-7764