Abstract:This study examines temporal patterns of software systems defects using the Autoregressive Integrated Moving Average (ARIMA) approach. Defect reports from ten software application projects are analyzed; five of these projects are open source and five are closed source from two software vendors. Across all sampled projects, the ARIMA time series modeling technique provides accurate estimates of reported defects during software maintenance, with organizationally dependent parameterization. In contrast to causal … Show more
“…), [16,17]; • software development for the prediction of denials [18]; • predicting defects by using genetic programming and time series [19,20]; • software reliability modeling using genetic algorithms [21].…”
This article provides information about one of the main signs of software -reliability and models which are used for its estimation. Some of mathematical models that is applied in estimation of reliability of software tools have been studies.
“…), [16,17]; • software development for the prediction of denials [18]; • predicting defects by using genetic programming and time series [19,20]; • software reliability modeling using genetic algorithms [21].…”
This article provides information about one of the main signs of software -reliability and models which are used for its estimation. Some of mathematical models that is applied in estimation of reliability of software tools have been studies.
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