Uma abordagem para priorização de requisitos baseada em busca

Abstract

The demand for developing and delivering quality software solutions in a short period of time is a challenge facing companies, as software quality is often inhibited by these factors. Consequently, the delivery of features that add less value to the project version proves to be a problem. Knowing how to choose the best sets of requirements to compose the system version is a costly activity, as traditional prioritization methods are ineffective. Based on this problem, this study aims to present a requirements prioritization approach using a genetic algorithm in order to find alternative solutions that can assist in the requirements prioritization decision process during the software development process. The experiments evaluated the effectiveness of the proposed approach qualitatively and quantitatively, generating satisfactory results, which indicate the feasibility of its use and can thus contribute to the development of software projects, both in academia and in the corporate environment.