EVALUATION AND USE OF SOFTWARE DEFECT PREDICTION PROCESSES IN THE GLOBAL SCENARIO

Luiz Gustavo dos Santos Salazar, Maria Eduarda Pinto de Lima, Ademir Ribeiro Predes Junior, Marcello Vinicius Doria Calvosa


Resumo


This work is an academic and critical review of the scientific article: The need for more informative defect prediction: A systematic literature review published in English, in 2024, in the prestigious journal Information and Software Technology, indexed in the Scopus scientific database. Publishing reviews allows readers to decide in an agile and analytical way, whether certain longer content should be consumed, and in some cases, expensive content, content in a foreign language or content that is difficult to access. The work moves, in its theoretical foundation, between the themes Software Defect Prediction and Artificial intelligence. The objective of the original work was to analyze current software models and show a direction for the cause of their defect prediction. 132 articles were analyzed in a systematic literature review. The main finding was that 68% of the models did not use any technique to explain the phenomenon. And only 7% did so satisfactorily. As a practical contribution of the review, the presentation, suggestion of monitoring and consumption of the scientific articles and editorials from the journal Information and Software Technology may help, in a theoretical and practical way, undergraduate students, postgraduate and market professionals in the Exact Sciences area and it is interfaces with Applied Social Sciences.


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