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Data-driven requirements engineering in agile projects: The Q-rapids approach

 
: Franch, Xavier; Ayala, Claudia P.; López, Lidia; Martínez-Fernández, Silverio; Rodríguez, Pilar; Gómez, Cristina; Jedlitschka, Andreas; Oivo, Markku; Partanen, Jari; Räty, Timo; Rytivaara, Veikko

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Institute of Electrical and Electronics Engineers -IEEE-; IEEE Computer Society:
IEEE 25th International Requirements Engineering Conference Workshops, REW 2017. Proceedings : 4-8 September 2017, Lisbon, Portugal
Piscataway, NJ: IEEE, 2017
ISBN: 978-1-5386-3488-2
ISBN: 978-1-5386-3489-9
S.411-414
International Requirements Engineering Conference (RE) <25, 2017, Lisbon>
International Workshop on Just-In-Time Requirements Engineering - Dealing with Non-Functional Requirements in Agile Software Development (JIT RE) <2, 2017, Lisbon>
Englisch
Konferenzbeitrag
Fraunhofer IESE ()
software engineering; agile software development; requirements engineering; Q-Rapids

Abstract
Requirements identification, specification and management are key activities in the software development process. In the last years, many approaches to these activities have emerged, based on the exploitation of huge amounts of data gathered from software repositories and system usage. The Q-Rapids project proposes the collection and analysis of such data and its consolidation into a set of strategic indicators as product quality, time to market and team productivity. These indicators are visualized through a dashboard designed to support decision-makers. In this paper, we present the ongoing research undertaken in this project. We use the concept of blocking situation to exemplify the Q-Rapids approach.

: http://publica.fraunhofer.de/dokumente/N-484519.html