An Automated Approach for Selecting Bugs in Component-Based Software Projects

摘要

Bug-fixing tasks represent a critical obstacle for maintaining software systems, in which project managers are faced with the challenge of manually selecting bugs to be fixed in the next release, usually concerning priority and severity criteria indicated in bug reports. For large complex systems, in which a considerable number of bugs exists, ad-hoc manual approaches are unsuitable, representing a timing consuming, labor-intensive and error prone strategy. In such a context, exploring search-based software engineering techniques, this paper proposes an automated approach for selecting interdependent bugs in component-based software projects, adopting a multi-customer model for choosing the more relevant bugs from the viewpoint of the software producer and its customers, but with total cost limited by the project budget.