Abstract
Context and Motivation: Rapid software development (RSD) refers to the organizational capability to develop, release, and learn from software in rapid cycles without compromising its quality. To achieve RSD, it is essential to understand and manage software quality along the software lifecycle. Question/Problem: Despite the numerous information sources related to product quality, there is a lack of mechanisms for supporting continuous quality management throughout the whole RSD process. Principal ideas/Results: We propose Q-Rapids, a data-driven, quality-aware RSD framework in which quality and functional requirements are managed together. Quality requirements are incrementally elicited and refined based on data gathered at both development time and runtime. Project, development, and runtime data is aggregated into quality-related indicators to support decision makers in steering future development cycles. Contributions: Q-Rapids aims to increase software quality through continuous data gathering and analysis, as well as continuous management of quality requirements.
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Acknowledgements
This work is a result of the Q-Rapids project, which has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement N° 732253.
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Guzmán, L., Oriol, M., Rodríguez, P., Franch, X., Jedlitschka, A., Oivo, M. (2017). How Can Quality Awareness Support Rapid Software Development? – A Research Preview. In: Grünbacher, P., Perini, A. (eds) Requirements Engineering: Foundation for Software Quality. REFSQ 2017. Lecture Notes in Computer Science(), vol 10153. Springer, Cham. https://doi.org/10.1007/978-3-319-54045-0_12
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DOI: https://doi.org/10.1007/978-3-319-54045-0_12
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