Estudo de caso: construção de ferramenta de apoio à melhoria da qualidade de software utilizando modelo de inteligência artificial (IA) generativa na automatização de casos de teste de sistema e inspeções de usabilidade

Abstract

Applying system testing and usability inspection techniques is notoriously expensive for software development teams, since it demands a large investment of time to be planned and executed, which reduces its coverage throughout a project’s life cycle. This shortage stems mainly from the lack of tools that automate these verification tasks and from the complexity of existing solutions for professionals with little programming background. Given this scenario, the present work aims to develop a tool to support software quality improvement that uses generative artificial intelligence (AI) models to automate system test cases and usability inspections. The proposal organizes project information into personas and functional requirements with acceptance criteria, allows recording the correct flow of a feature and enables its autonomous re-execution, generating chat-formatted reports on the system’s compliance with the acceptance criteria, in addition to interface improvement suggestions grounded in usability heuristics. The work also presents a survey of existing system testing and usability inspection tools and architectures, comparing them with the proposed solution.