کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
550775 | 872721 | 2007 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Predicting software defects in varying development lifecycles using Bayesian nets
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
تعامل انسان و کامپیوتر
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
An important decision in software projects is when to stop testing. Decision support tools for this have been built using causal models represented by Bayesian Networks (BNs), incorporating empirical data and expert judgement. Previously, this required a custom BN for each development lifecycle. We describe a more general approach that allows causal models to be applied to any lifecycle. The approach evolved through collaborative projects and captures significant commercial input. For projects within the range of the models, defect predictions are very accurate. This approach enables decision-makers to reason in a way that is not possible with regression-based models.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information and Software Technology - Volume 49, Issue 1, January 2007, Pages 32–43
Journal: Information and Software Technology - Volume 49, Issue 1, January 2007, Pages 32–43
نویسندگان
Norman Fenton, Martin Neil, William Marsh, Peter Hearty, David Marquez, Paul Krause, Rajat Mishra,