Quality measurement in agile and rapid software development : a systematic mapping
López, Lidia; Burgués, Xavier; Martínez-Fernández, Silverio; Vollmer, Anna Maria; Behutiye, Woubshet; Karhapää, Pertti; Franch, Xavier; Rodríguez, Pilar; Oivo, Markku (2021-12-10)
López, L., Burgués, X., Martínez-Fernández, S., Vollmer, A. M., Behutiye, W., Karhapää, P., Franch, X., Rodríguez, P., & Oivo, M. (2022). Quality measurement in agile and rapid software development: A systematic mapping. Journal of Systems and Software, 186, 111187. https://doi.org/10.1016/j.jss.2021.111187
© 2021 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/).
https://creativecommons.org/licenses/by-nc-nd/4.0/
https://urn.fi/URN:NBN:fi-fe2022060844076
Tiivistelmä
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.
Conclusions: 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.
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