After two years since the Q-Rapids project (H2020) finised on October 2019, we finally get published one of the systematic mappings conducted during the project. We have now published our study on quality related metrics and indicators for monitoring Agile development processes.
Quality measurement in agile and rapid software development: A systematic mapping
Lidia López, Xavier Burgués, Silverio Martínez-Fernández, Anna Maria Vollmer, Woubshet Behutiye, Pertti Karhapää, Xavier Franch, Pilar Rodríguez, Markku Oivo
Abstract. Context: In despite of agile and rapid software development (ARSD) being researched and applied extensively, managing quality requirements (QRs) are still challenging. As ARSD processes produce a
large amount of data, measurement has become a strategy to facilitate QR management.
Objective: This study aims to survey the literature related to QR management through metrics in ARSD, focusing on: bibliometrics, QR metrics, and quality-related indicators used in quality management.
Methods: The study design includes the definition of research questions, selection criteria, and snowballing as search strategy.
Results: We selected 61 primary studies (2001–2019). Despite a large body of knowledge and standards, there is no consensus regarding QR measurement. Terminology is varying as are the measuring models. However, seemingly different measurement models do contain similarities.
Conclusion: The industrial relevance of the primary studies shows that practitioners have a need to improve quality measurement. Our collection of measures and data sources can serve as a starting point for practitioners to include quality measurement into their decision-making processes. Researchers could benefit from the identified similarities to start building a common framework for quality
measurement. In addition, this could help researchers identify what quality aspects need more focus, e.g., security and usability that have surprisingly few metrics reported
