Interactive, Evolutionary Search in Upstream Object-Oriented Class Design

• Published in: IEEE transactions on software engineering Vol. 36; no. 6; pp. 798 - 816
• Main Authors: Simons, C L, Parmee, I C, Gwynllyw, R
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.11.2010; IEEE Computer Society
• Subjects: Analysis; Automation; Collaboration; Computer programs; Design engineering; Designers; Digital Object Identifier; Evolutionary; Evolutionary computation; Heuristic; Interactive; Interactive computer systems; interactive search; Natural language; Open systems; Product design; Runtime; Searches; Searching; Software; Software agents; Software design; Software development; Software engineering; Software performance; Software tools; Studies; Visualization
• ISSN: 0098-5589; 1939-3520
• DOI: 10.1109/TSE.2010.34

Although much evidence exists to suggest that early life cycle software engineering design is a difficult task for software engineers to perform, current computational tool support for software engineers is limited. To address this limitation, interactive search-based approaches using evolutionary computation and software agents are investigated in experimental upstream design episodes for two example design domains. Results show that interactive evolutionary search, supported by software agents, appears highly promising. As an open system, search is steered jointly by designer preferences and software agents. Directly traceable to the design problem domain, a mass of useful and interesting class designs is arrived at which may be visualized by the designer with quantitative measures of structural integrity, such as design coupling and class cohesion. The class designs are found to be of equivalent or better coupling and cohesion when compared to a manual class design for the example design domains, and by exploiting concurrent execution, the runtime performance of the software agents is highly favorable.