کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
494300 862306 2006 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Software reliability forecasting by support vector machines with simulated annealing algorithms
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر شبکه های کامپیوتری و ارتباطات
پیش نمایش صفحه اول مقاله
Software reliability forecasting by support vector machines with simulated annealing algorithms
چکیده انگلیسی

Support vector machines (SVMs) have been successfully employed to solve non-linear regression and time series problems. However, SVMs have rarely been applied to forecasting software reliability. This investigation elucidates the feasibility of the use of SVMs to forecast software reliability. Simulated annealing algorithms (SA) are used to select the parameters of an SVM model. Numerical examples taken from the existing literature are used to demonstrate the performance of software reliability forecasting. The experimental results reveal that the SVM model with simulated annealing algorithms (SVMSA) results in better predictions than the other methods. Hence, the proposed model is a valid and promising alternative for forecasting software reliability.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Systems and Software - Volume 79, Issue 6, June 2006, Pages 747–755
نویسندگان
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