MARE: an Active Learning Approach for Requirements Classification

Abstract

Several studies indicate that poor requirements practices, that result in incomplete or inaccurate requirements, poorly managed requirement changes, and missed requirements, are the most common factors in project failure. Possible solutions for better requirements definition include better requirements documentation, and requirements reuse. In this paper, we present a novel application of machine learning and active learning to classify the requirements of a given dataset. This approach can accelerate project development. By organizing the requirements into categories, developers can easily see what requirements were already implemented, and where they need to focus on the next step of development.