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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

Kaiserslautern, 2017, 4 S.
IESE-Report, 043.17/E
Reportnr.: 043.17/E
Englisch
Bericht
Fraunhofer IESE ()
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-462106.html