Dependency Rank: Método de priorização de requisitos baseado nas relações de dependência identificadas por PLN
Resumo
Currently, the most commonly used software requirements prioritization techniques are highly dependent on human effort to achieve them. Facing this problem, this paper presents an automated prioritization method based on dependency relationships between features. The proposed method sought to reduce the amount of effort employed by automating part of this task in an attempt to provide greater agility and reliability to the process. Thus, we used the project requirements documentation as a basis for extracting these relationships. A prototype using natural language processing tools was developed, its application aimed to recognize candidate classes contained in software requirements specification documents, written as user stories, thereby enabling the identification of existing links between the features. After this analysis, a suggested ranking, which employs as main criterion the prioritization of the requirements with the largest number of dependencies, is generated. The method was tested in an experiment and its validation was assisted by professionals. The results showed that the strategy implemented to identify candidate classes reached an F1 score of 0.857. This index helped the prototype to classify up to 70% of the requirements within equivalent intervals to those obtained by human judgment, having as main challenge for future developments the increase of the subjectivity load of the method.
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