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Q-rapids tool prototype

Supporting decision-makers in managing quality in rapid software development
: López, Lidia; Martínez-Fernández, Silverio; Gómez, Cristina; Choras, Michal; Kozik, Rafal; Guzmán, Liliana; Vollmer, Anna Maria; Franch, Xavier; Jedlitschka, Andreas


Mendling, Jan (Hrsg.):
Information Systems in the Big Data Era : CAiSE Forum 2018, Tallinn, Estonia, June 11-15, 2018, Proceedings
Cham: Springer International Publishing, 2018 (Lecture Notes in Business Information Processing 317)
ISBN: 978-3-319-92900-2 (Print)
ISBN: 978-3-319-92901-9 (Online)
International Conference on Advanced Information Systems Engineering (CAiSE) <30, 2018, Tallinn>
European Commission EC
H2020; 732253; Q-Rapids
Fraunhofer IESE ()
agile; decision making; quality requirement; non-functional requirements; rapid software development; strategic indicator; dashboard

Software quality is an essential competitive factor for the success of software companies today. Increasing the software quality levels of software products and services requires an adequate integration of quality requirements (QRs) in the software life-cycle, which is still scarcely supported in current rapid software development (RSD) approaches. One of the goals of the Q-Rapids (Quality-aware Rapid Software Development) method is providing tool support to decision-makers for QR management in RSD. The Q-Rapids method is based on gathering data from several and heterogeneous sources, to be aggregated into quality-related strategic indicators (e.g., customer satisfaction, product quality) and presented to decision-makers using a highly informative dashboard. The current release of Q-Rapids Tool provides four sets of functionality: (1) data gathering from source tools (e.g. GitLab, Jira, SonarQube, and Jenkins), (2) aggregation of data into three levels of abstraction (metrics, product/process factors, and strategic indicators), (3) visualization of the aggregated data, and (4) navigation through the aggregated data. The tool has been evaluated by four European companies that follow RSD processes.