OSS Reliability Analysis and Project Effort Estimation Based on Computational Intelligence

Abstract

OSS (open-source software) systems serve as the key components of critical infrastructures in the society. As for the OSS development paradigm, the bug tracking systems are used for software quality management in many OSS projects. It is important to appropriately control the quality for the progress status of OSS project, because the software failure is caused by the poor handling of effort control. In particular, the GUI of OSS will be frequently made a dramatic difference according to the major version upgrade. The changing in GUI of OSS will depend on the development and management effort of OSS in the specified version. Considering the relationship between GUI and OSS development process, the UX/UI design of OSS will change with the procedure of OSS development. This chapter focuses on the method of effort estimation for OSS project. Then, the pixel data and OSS fault big data are analyzed by using the deep learning. Moreover, we discuss the effort assessment method in the development phase by using the effort data.