یک روش برای تشخیص مشکلات فرایندهای پروژه های توسعه نرم افزار با استفاده از شبکه های بیزی
|کد مقاله||سال انتشار||مقاله انگلیسی||ترجمه فارسی||تعداد کلمات|
|46562||2015||14 صفحه PDF||سفارش دهید||11220 کلمه|
Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Expert Systems with Applications, Volume 42, Issue 1, January 2015, Pages 437–450
There are several software process models and methodologies such as waterfall, spiral and agile. Even so, the rate of successful software development projects is low. Since software is the major output of software processes, increasing software process management quality should increase the project’s chances of success. Organizations have invested to adapt software processes to their environments and the characteristics of projects to improve the productivity and quality of the products. In this paper, we present a procedure to detect problems of processes in software development projects using Bayesian networks. The procedure was successfully applied to Scrum-based software development projects. The research results should encourage the usage of Bayesian networks to manage software processes and increase the rate of successful software development projects.