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Conspiracy walls in requirements engineering

Analyzing requirements like a detective
: Hess, Anne; Mennig, Patrick; Bartels, Nedo

Fulltext ()

Sabetzadeh, M.:
REFSQ-JP 2020. REFSQ 2020 Joint Proceedings of the Co-Located Events. Online resource : Joint Proceedings of REFSQ-2020 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track co-located with the 26th International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2020), Pisa, Italy, March 24, 2020
Pisa, 2020 (CEUR Workshop Proceedings 2584)
Art. 1, 3 pp.
International Conference on Requirements Engineering - Foundation for Software Quality (REFSQ) <26, 2020, Pisa>
Conference Paper, Electronic Publication
Fraunhofer IESE ()
Data handling; Information analysis; Crime investigation; Cross-disciplinary teams; Interactive session; Potential tool; Software products; Team members; Requirements engineering

[Context and motivation] Existing requirements engineering (RE) methods and tools support practitioners. [Question/problem] However, with the increase in cross-disciplinary teams, the communication between team members requires a better understanding of role-specific interests and information needs. Moreover, selecting the right methods for gathering information based on actual needs is important and challenging as well. How can information needs be satisfied and the gap between as-is and to-be analysis be bridged? Other disciplines offer potential tools and methods that might be worthwhile to adapt. [Principal ideas/results] We envision the use of conspiracy walls— taken from the crime investigation domain—in RE. [Contribution] In this interactive session, we want to investigate the question of the applicability of the conspiracy wall method for data analysis in RE on the example of software products targeting citizens in rural areas. We provide pre-filled conspiracy walls for all participants of the CreaRE workshop and perform data analysis based on our exemplary evidence, leading to a joint discussion of the applicability of the method.