Improved Diagnosis of Software bugs: An Exemp...

Improved Diagnosis of Software bugs: An Exemplar

Author Name : Swetha Pai, Manoj V. Thomas

ABSTRACT Software Engineering deals with the development of unique software. It is almost known that a software development life cycle for a software inevitably encounters with bugs and errors. The primary approach of this paper is to correctly troubleshoot the bugs by Artificial Intelligence (AI) technique. The technique involves the integration of AI with the Learn, Diagnose and Plan (LDP) paradigm where we thoroughly include Machine Learning (ML) and its mechanism. The overall solution for software troubleshooting is implemented on software projects and sample code scratched from Github.