Using sentiment analysis to assess PMBOK knowledge areas' compatibility with agile methodology

The agile approach to software development has significantly impacted the industry, given its ability to cope with requirements. Despite this, many aspects of the agile paradigm's compatibility with various software project characteristics have not been thoroughly researched. To address this lacuna, the study presents a systematic literature review (SLR) that aims to assess the compatibility of the agile methodology with each of the knowledge areas included in the Project Management Body of Knowledge (PMBOK). By employing Machine Learning (ML) text-mining and sentiment analysis techniques, the paper explores the sentiment regarding each PMBOK knowledge area (PM-KA). It thus provides valuable insights to assist practitioners and researchers in assessing the compatibility of the agile methodology with each PM-KA and identifying potential gaps or significant challenges within the agile paradigm.