Tailoring a large-sized software process using process slicing and case-based reasoning technique

Abstract

As the process tailoring is an inevitable and costly activity in software development projects, it is important to reduce the effort for process tailoring. It is critical to a large-sized software process. A large-sized software process usually contains hundreds of elements and relationships between the elements. Manually identifying the elements to be tailored is laborious and error-prone. To overcome this problem, the authors proposed an approach to process tailoring using process slicing (PS) in a large-sized software process. PS operates on a software process that includes various sub-processes and utilises past experience by case-based reasoning (CBR) technique to increase its effectiveness. The authors validated that PS can help a project manager to identify the elements to be tailored with less effort. It has also been illustrated that the CBR technique is helpful in reducing errors and increasing the performance of PS. © 2013 The Institution of Engineering and Technology.