A regression test selection technique by optimizing user stories in an Agile environment

An Agile framework of software development has attracted major players of the software industry. This transition of approach has caused significant changes in terms of fast delivery, less documentation, more satisfaction and more interactions. Effective handling of frequent changes during development is one of the important accepting criteria for this framework by software professionals. Frequent changes during the sprint will cause aggregation of test cases in the suite and may effect the time to delivery of product to the customer. To overcome this issue of late delivery, an approach of test case selection is proposed in this paper. This approach takes into consideration weights of the undirected graph of the group of user story in a module and optimal nature of this proposed method removes other risks of the development of the user story.