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Please use this identifier to cite or link to this item:
http://hdl.handle.net/2451/14544
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| Title: | ANALOGICAL AND DEPENDENCY DIRECTED REASONING STRATEGIES FOR LARGE
SYSTEMS EVOLUTION |
| Authors: | Dhar, Vasant
Jarke, Matthias |
| Issue Date: | Aug-1985 |
| Publisher: | Stern School of Business, New York University |
| Series/Report no.: | IS-85-66 |
| Abstract: | The maintenance of large information systems involves continuous design
modifications to designs in response to evolving business conditions or
changing user requirements. Because of the complexity barrier
associated with engineering such systems, changes can be ad hoc and
prone to errors. Based on our observations of such a process in the oil
industry, we believe that the systems maintenance activity would benefit
greatly if the process knowledge reflecting the teleology of a design
could be captured and used in order to reason about changing
requirements, and to design parts of systems that might be
âsimilarâ to existing ones. In this paper, we describe
a partially implemented formalism called REMAP (REpresentation and
MAintenance of Process knowledge) that accumulates design process
knowledge to manage systems evolution. To accomplish this, REMAP
acquires and maintains dependencies among the design decisions made
during a prototyping process as well as the general domain-specific
design rules on which such dependencies are based. This knowledge can
then be applied to prototype refinement, systems maintenance, and the
re-use of existing designs to construct âsimilarâ design fragments. |
| URI: | http://hdl.handle.net/2451/14544 |
| Appears in Collections: | IOMS: Information Systems Working Papers
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