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Please use this identifier to cite or link to this item:
http://hdl.handle.net/2451/14314
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| Title: | SUPPORTING SEARCH FOR REUSABLE SOFTWARE OBJECTS |
| Authors: | Isakowitz, Tomas
Kauffman, Robert J. |
| Issue Date: | 1993 |
| Publisher: | Stern School of Business, New York University |
| Series/Report no.: | IS-93-47 |
| Abstract: | Software reuse in the presence of a repository and object-based CASE
tool is likely to be "biased" Prior research has shown that a
developer will be: (1) most likely to reuse her own objects; (2)
somewhat less likely to reuse objects developed by her project team
members; and, (3) even less likely to reuse objects stored in the
repository, but developed elsewhere in the corporation. These biases can
result in sub-optimal levels of software reuse. In the presence of such
biases it is appropriate to deploy tools that support the search for
software reuse, so that developers find it easier to reuse software
objects authored by developers other than themselves or project team
members. However; the tools that are chosen or created for this purpose
must adequately treat the technical and cognitive fundamentals of the
problem for individual developers, and recognize the organizational and
economic perspectives of a firm that wishes to maximize the business
value of its software development activities. In this paper we present a
two-stage descriptive model that represents the search process for
reusable software objects. We evaluate appropriate technologies, propose
a technical solution to the problem of searching for reusable objects,
and demonstrate its feasibility via a prototype implementation. The
technical tool combines an automated classifier and a hypertext system.
We describe an architecture to automatically create hypertext networks
based on the classification schema. We illustrate our architecture using
a classification of software objects obtained through structured
interviews with software developers. |
| URI: | http://hdl.handle.net/2451/14314 |
| Appears in Collections: | IOMS: Information Systems Working Papers
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