报告名称:Software Reliability Growth Model Averaging: Theory and Empirical Validation
报告时间:7月30日15:00
报告地点:滴水湖国际软件学院502
报告摘要:
Accurate prediction of the cumulative number of software faults as well as quantitative software reliability has been still a challenging issue in software reliability for a long time. Especially, weighted linear combination models based on multiple software reliability growth models (SRGMs) have received a considerable attention to improve the prediction accuracy, but have not been satisfactorily formulated during the last five decades. In this talk, we develop several approaches to predict the future behavior of the cumulative number of software faults detected in the system testing, by means of multi-model inference, consisting of both the model averaging techniques, where the underlying SRGMs are described by the common non-homogeneous Poisson processes. The model averaging techniques employed here possess an information-theoretic and frequentist perspective and are characterized by well-known information criteria to determine each model weight. Several clustering techniques are also applied to cluster theunderlying SRGM candidates for prediction We also improve the existing ensemble-based methods to predict the cumulative number of software faults in the similar framework to the SRGM averaging. In comprehensive numerical experiments with both time-domain and time-interval software fault-count data, we compare our SRGM averaging techniques with the common approach based on the single use of SRGM. It is shown with actual software fault-count data that SRGM averaging enabled us to improve prediction accuracy significantly.
报告人简介:
Tadashi Dohi received the Bachelor of Science in Engineering (B.S.E.), Master of Engineering (M.E.), and Doctor of Engineering (Dr. of Eng.) degrees from Hiroshima University, Japan, in 1989, 1991, and 1995, respectively. In 1992 he joined as an Assistant Professor in the Department of Industrial and Systems Engineering, Hiroshima University. In 1992 and 2000, he was a Visiting Research Scholar in the Faculty of Commerce and Business Administration, University of British Columbia, Canada, and Hudson School of Engineering, Duke University, USA, respectively, on the leave absent from Hiroshima University. Since 2002, he has been working as a Full Professor in Hiroshima University. He is now the Dean of the School of Informatics and Data Science, and the Associate Dean of the Graduate School of Advanced Science and Engineering, Hiroshima University. His research areas include Reliability Engineering, Software Reliability, Dependable Computing, Performance Evaluation, Computer Security and Operations Research. He is a Regular Member of ORSJ, IEICE, IPSJ, REAJ and IEEE. He published over 644 peer-reviewed papers (285 journal papers and 359 conference papers), 49 book chapters, and 26 edited books/proceedings in the above research area. Dr. Dohi served as a General Chair/Program Committee Chair of over 20 international events and worked as a Program Committee Member in many international premier conferences such as DSN, ISSRE, EDCC, SRDS, HASE, QRS, ICPE, SAC, among others. He is an Associate Editor/Editorial Board Member of a dozen of international journals. He is one of Founders of AIWARM/APARM and served as the Steering Committee Chair.