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Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 42-429
Full Name: Arbi Ghazarian
Position: Doctor (Researcher)
Age: ON
Sex: Male
Address: 100 Rowena Drive. Apt. 612, North York, ON, M3A 1P9, Canada
Country: CANADA
Tel: (+1) 416-444-5209
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E-mail address: arbi@cs.toronto.edu
Other E-mails: arbi.ghazarian@ieee.org
Title of the Paper: A Software Requirements Specification Framework for Objective Pattern Recognition: A Set-Theoretic Classification Approach
Authors as they appear in the Paper: Arbi Ghazarian, Mehdi Sagheb Tehrani, Arin Ghazarian
Email addresses of all the authors: arbi@cs.toronto.edu, mtehrani@bemidjistate.edu, arin.ghazarian@aut.ac.ir
Number of paper pages: 11
Abstract: The motivation behind pattern-oriented software development is to decompose complex problems into recognizable subproblems with predefined solutions, hence promoting both the quality of the resulting software product and the efficiency of the development process through the reuse of optimal solutions (e.g., best practices). Unfortunately, due to the opportunistic (i.e., non-systematic and subjective) element inherent in the process of recognizing conventional patterns in a problem context, the full potential of a pattern-driven problem-solving strategy has not been yet realized. In this paper, we introduce a requirements specification framework, called Problem Decomposition Scheme (PDS), which serves as a foundation to address the challenges of pattern recognition in the context of software requirements. We establish that pattern recognition can be abstracted as a set-theoretic classification problem, and formalize the properties of the resulting classification sch!
eme. In contrast to ill-defined subproblems in conventional development problem contexts, patterns in PDS-based specifications can be objectively recognized. To evaluate our requirements specification framework, we conducted an empirical user study of software developers performing a requirements pattern recognition task on a PDS-based requirements specification. PDS-based specifications are shown to achieve a high degree of requirements pattern recognition consistency across developers.
Keywords: Software Requirements Specification, Pattern-Oriented Software Development, Requirements Patterns, Problem Decomposition Scheme, Pattern Recognition, Functional Requirements Classification, Empirical User Study
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