Prereqir: Recovering Pre-Requirements via Cluster Analysis. Hayes, J. H., Antoniol, G., & Gu�h�neuc, Y. In Zaidman, A., Di Penta, M., & Hassan, A., editors, Proceedings of the 15<sup>th</sup> Working Conference on Reverse Engineering (WCRE), pages 165–174, October, 2008. IEEE CS Press. 10 pages.
Prereqir: Recovering Pre-Requirements via Cluster Analysis [pdf]Paper  abstract   bibtex   
High-level software artifacts, such as requirements, domain-specific requirements, and so on, are an important source of information that is often neglected during the reverse- and re-engineering processes. We posit that domain specific pre-requirements information (PRI) can be obtained by eliciting the stakeholders' understanding of generic systems or domains. We discuss the semi-automatic recovery of domain-specific PRI that can then be used during reverse- and re-engineering, for example, to recover traceability links or to assess the degree of obsolescence of a system with respect to competing systems and the clients' expectations. We present a method using partition around medoids and agglomerative clustering for obtaining, structuring, analyzing, and labeling textual PRI from a group of diverse stakeholders. We validate our method using PRI for the development of a generic Web browser provided by 22 different stakeholders. We show that, for a similarity threshold of about 0.36, about 55\NOof the PRI were common to two or more stakeholders and 42\NOwere outliers. We automatically label the common and outlier PRI (82\NOcorrectly labeled), and obtain 74\NOaccuracy for the similarity threshold of 0.36 (78\NOfor a threshold of 0.5). We assess the recall and precision of the method, and compare the labeled PRI to a generic Web browser requirements specification.

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