Contributo in atti di convegno, 2012, ENG, 10.1145/2245276.2231939
Ferrari A., Gnesi S., Tolomei G.
CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; DAIS, Università Ca' Foscari, Venezia, Italy;
In this paper, we present the application of a clustering algorithm to exploit lexical and syntactic relationships occurring between natural language requirements. Our experiments conducted on a real-world data set highlight a correlation between clustering outliers, i.e., requirements that are marked as "noisy" by the clustering algorithm, and requirements presenting "flaws". Those flaws may refer to an incomplete explanation of the behavioral aspects, which the requirement is supposed to provide. Furthermore, flaws may also be caused by the usage of inconsistent terminology in the requirement specification. We evaluate the ability of our proposed algorithm to effectively discover such kind of flawed requirements. Evaluation is performed by measuring the accuracy of the algorithm in detecting a set of flaws in our testing data set, which have been previously manually-identified by a human assessor.
27th Annual ACM Symposium on Applied Computing, pp. 1043–1050, Riva del Garda, Trento, ITALY, 26-30 marzo 2012
Flawed requirements discovery, Requirement clustering, Requirements engineering
Gnesi Stefania, Ferrari Alessio
ISTI – Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo"
ID: 220743
Year: 2012
Type: Contributo in atti di convegno
Creation: 2013-05-31 09:58:42.000
Last update: 2023-03-08 13:35:23.000
CNR authors
External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:220743
DOI: 10.1145/2245276.2231939
Scopus: 2-s2.0-84863576087
PUMA: cnr.isti/2012-A2-049