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https://hdl.handle.net/20.500.14279/13814| Τίτλος: | Nonparametric analysis of software reliability: Revealing the nature of software failure dataseries | Συγγραφείς: | Andreou, Andreas S. Leonidou, Constantinos N. |
Major Field of Science: | Engineering and Technology | Field Category: | Electrical Engineering - Electronic Engineering - Information Engineering | Λέξεις-κλειδιά: | Software failure;Antipersistence;Nonparametric analysis;Reliability | Ημερομηνία Έκδοσης: | 1-Μαΐ-2005 | Πηγή: | 7th International Conference on Enterprise Information Systems, Miami, United States, 25 May 2005 through 28 May 2005 | Conference: | International Conference on Enterprise Information Systems | Περίληψη: | Software reliability is directly related to the number and time of occurrence of software failures. Thus, if we were able to reveal and characterize the behavior of the evolution of actual software failures over time then we could possibly build more accurate models for estimating and predicting software reliability. This paper focuses on the study of the nature of empirical software failure data via a nonparametric statistical framework. Six different time-series data expressing times between successive software failures were investigated and a random behavior was detected with evidences favoring a pink noise explanation. | Description: | Proceedings of the 7th International Conference on Enterprise Information Systems 2005, Pages 138-145 | ISBN: | 9728865198 | Type: | Conference Papers | Affiliation: | University of Cyprus | Publication Type: | Peer Reviewed |
| Εμφανίζεται στις συλλογές: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
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