Dependency Directed Reasoning and Learning in Systems Maintenance Support

29 Pages Posted: 31 Oct 2008

See all articles by Vasant Dhar

Vasant Dhar

New York University (NYU) - Leonard N. Stern School of Business; New York University (NYU) - Department of Information, Operations, and Management Sciences

Matthias Jarke

affiliation not provided to SSRN

Date Written: March 1987

Abstract

The maintenance of large information systems involves continuousmodifications in response to evolving business conditions or changing userrequirements. Based on evidence from a case study, we show that thesystems maintenance activity would benefit greatly if the processknowledge reflecting the teleology of a design could be captured and usedin order to reason about the consequences of changing conditions orrequirements. We describe a formalism called REMAP (REpresentationand MAintenance of Process knowledge) that accumulates design processknowledge to manage systems evolution. To accomplish this, REMAPacquires and maintains dependencies among the design decisions madeduring a prototyping process, and is able to learn general domain-specificdesign rules on which such dependencies are based. This knowledge cannot only be applied to prototype refinement and systems maintenance,but can also support the re-use of existing design or software fragments toconstruct similar ones using analogical reasoning techniques.

Suggested Citation

Dhar, Vasant and Jarke, Matthias, Dependency Directed Reasoning and Learning in Systems Maintenance Support (March 1987). NYU Working Paper No. IS-87-20, Available at SSRN: https://ssrn.com/abstract=1289739

Vasant Dhar (Contact Author)

New York University (NYU) - Leonard N. Stern School of Business ( email )

44 West 4th Street
Suite 9-160
New York, NY NY 10012
United States

HOME PAGE: http://www.stern.nyu.edu/~vdhar

New York University (NYU) - Department of Information, Operations, and Management Sciences

44 West Fourth Street
New York, NY 10012
United States

Matthias Jarke

affiliation not provided to SSRN

No Address Available

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