Analytics in Continuous Requirements Engineering

Joint Proceedings of REFSQ-2017 Workshops, Doctoral Symposium, Research Method Track, and Poster Track co-located with the 22nd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2017) 2017
Mārīte Kirikova, Kaspars Purmalietis

In continuous requirements engineering, timely knowledge about required and possible changes is essential. However, even one of the most important sources of knowledge – users of the systems, not always are aware of existing problems and all relevant future trends that can cause the need for changes. Therefore, to be more aware of possible changes, different analytics approaches are becoming embraced by requirements engineering. This paper examines what are the potential sources of data to be investigated and what are potential methods for defining requirements for analytics tasks in continuous requirements engineering. The discussion is based on the FREEDOM framework that has previously been designed for the purposes of continuous requirements engineering.

Keywords
Requirements engineering, continuous engineering, requirements analytics
Hyperlink
http://ceur-ws.org/Vol-1796/cre-paper-1.pdf

Kirikova, M., Purmalietis, K. Analytics in Continuous Requirements Engineering. In: Joint Proceedings of REFSQ-2017 Workshops, Doctoral Symposium, Research Method Track, and Poster Track co-located with the 22nd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2017), Germany, Essen, 27 Feb-2 Mar., 2017. Aachen: RWTH, 2017, pp.1-9. ISSN 1613-0073.

Publication language
English (en)