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Improving Analysis Pattern Reuse in Conceptual Design: Augmenting Automated Processes with Supervised Learning

Author

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  • Sandeep Purao

    (School of Information Sciences and Technology, The Pennsylvania State University, University Park, State College, Pennsylvania 16802)

  • Veda C. Storey

    (Department of Computer Information Systems, J. Mack Robinson College of Business, Georgia State University, Box 4015, Atlanta, Georgia 30302)

  • Taedong Han

    (Department of Management Information Systems, University of Nevada, Las Vegas, Nevada 89154)

Abstract

Conceptual design is an important, but difficult, phase of systems development. Analysis patterns can greatly benefit this phase because they capture abstractions of situations that occur frequently in conceptual modeling. Naïve approaches to automate conceptual design with reuse of analysis patterns have had limited success because they do not emulate the learning that occurs over time. This research develops learning mechanisms for improving analysis pattern reuse in conceptual design. The learning mechanisms employ supervised learning techniques to support the generic reuse tasks of retrieval, adaptation, and integration, and emulate expert behaviors of analogy making and designing by assembly. They are added to a naïve approach and the augmented methodology implemented as an intelligent assistant to a designer for generating an initial conceptual design that a developer may refine. To assess the potential of the methodology to benefit practice, empirical testing is carried out on multiple domains and tasks of different sizes. The results suggest that the methodology has the potential to benefit practice.

Suggested Citation

  • Sandeep Purao & Veda C. Storey & Taedong Han, 2003. "Improving Analysis Pattern Reuse in Conceptual Design: Augmenting Automated Processes with Supervised Learning," Information Systems Research, INFORMS, vol. 14(3), pages 269-290, September.
    • Handle: RePEc:inm:orisre:v:14:y:2003:i:3:p:269-290
    DOI: 10.1287/isre.14.3.269.16559
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    References listed on IDEAS

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    1. Debabrata Dey & Sumit Sarkar, 2000. "Modifications of Uncertain Data: A Bayesian Framework for Belief Revision," Information Systems Research, INFORMS, vol. 11(1), pages 1-16, March.
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    Cited by:

    1. Paul L. Bowen & Robert A. O'Farrell & Fiona H. Rohde, 2009. "An Empirical Investigation of End-User Query Development: The Effects of Improved Model Expressiveness vs. Complexity," Information Systems Research, INFORMS, vol. 20(4), pages 565-584, December.
    2. John S. Osmundson & Russell Gottfried & Chee Yang Kum & Lau Hui Boon & Lim Wei Lian & Poh Seng Wee Patrick & Tan Choo Thye, 2004. "Process modeling: A systems engineering tool for analyzing complex systems," Systems Engineering, John Wiley & Sons, vol. 7(4), pages 320-337.
    3. Gove Allen & Jeffrey Parsons, 2010. "Is Query Reuse Potentially Harmful? Anchoring and Adjustment in Adapting Existing Database Queries," Information Systems Research, INFORMS, vol. 21(1), pages 56-77, March.
    4. Maha Shaikh & Emmanuelle Vaast, 2023. "Algorithmic Interactions in Open Source Work," Information Systems Research, INFORMS, vol. 34(2), pages 744-765, June.

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