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A Complexity Measure for Textual Requirements
Computer Science and Engineering, University of Gothenburg, Gothenburg, Sweden / Computer Science and Engineering, Chalmers, Gothenburg, Sweden.
Computer Science and Engineering, University of Gothenburg, Gothenburg, Sweden / Computer Science and Engineering, Chalmers, Gothenburg, Sweden.
Ericsson, Sweden.
Högskolan i Skövde, Institutionen för informationsteknologi.ORCID-id: 0000-0003-2895-0780
2016 (engelsk)Inngår i: Proceedings of the 26th International Workshop on Software Measurement (IWSM) and the 11th International Conference on Software Process and Product Measurement (Mensura) IWSM-Mensura 2016 / [ed] Jens Heidrich & Frank Vogelezang, IEEE, 2016, s. 148-158Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Unequivocally understandable requirements are vital for software design process. However, in practice it is hard to achieve the desired level of understandability, because in large software products a substantial amount of requirements tend to have ambiguous or complex descriptions. Over time such requirements decelerate the development speed and increase the risk of late design modifications, therefore finding and improving them is an urgent task for software designers. Manual reviewing is one way of addressing the problem, but it is effort-intensive and critically slow for large products. Another way is using measurement, in which case one needs to design effective measures. In recent years there have been great endeavors in creating and validating measures for requirements understandability: most of the measures focused on ambiguous patterns. While ambiguity is one property that has major effect on understandability, there is also another important property, complexity, which also has major effect on understandability, but is relatively less investigated. In this paper we define a complexity measure for textual requirements through an action research project in a large software development organization. We also present its evaluation results in three large companies. The evaluation shows that there is a significant correlation between the measurement values and the manual assessment values of practitioners. We recommend this measure to be used with earlier created ambiguity measures as means for automated identification of complex specifications.

sted, utgiver, år, opplag, sider
IEEE, 2016. s. 148-158
Emneord [en]
measure, requirement, quality, complexity, automation
HSV kategori
Identifikatorer
URN: urn:nbn:se:his:diva-13549DOI: 10.1109/IWSM-Mensura.2016.030ISI: 000399139200018Scopus ID: 2-s2.0-8501196621ISBN: 978-1-5090-4147-3 (digital)ISBN: 978-1-5090-4148-0 (tryckt)OAI: oai:DiVA.org:his-13549DiVA, id: diva2:1093389
Konferanse
Joint Conference of the 26th International Workshop on Software Measurement (IWSM) and the 11th International Conference on Software Process and Product Measurement (Mensura) (IWSM-Mensura 2016), Berlin, Germany, October 5-7, 2016
Tilgjengelig fra: 2017-05-05 Laget: 2017-05-05 Sist oppdatert: 2018-01-13bibliografisk kontrollert

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