| Title: | A Constraint-Based Approach to the Description and Detection of Fitness-for-Purpose |
| Authors: | Simon White and Derek Sleeman |
| Series: | Linköping Electronic Articles
in Computer and Information Science ISSN 1401-9841 |
| Issue: | Vol. 5 (2000), No. 037 |
| URL: | http://www.ep.liu.se/ea/cis/2000/037/ |
| Abstract: | This paper introduces the notion of fitness-for-purpose,
presents a tractable, approximate approach to the recognition of fitness-for-purpose,
and describes a working implementation using constraint programming.
The property of fitness-for-purpose states whether running a software component with a supplied set of inputs can satisfy a given goal. Our interest is to assess whether a chosen problem solver, together with one or more knowledge bases, can satisfy a given problem-solving goal. In general, this is an intractable problem. We therefore introduce an effective, practical, approximation to fitness-for-purpose based on the plausibility of the goal. We believe that constraint (logic) programming provides a natural approach to the implementation of such approximations. We took the Common LISP constraints library SCREAMER and extended its symbolic capabilities to suit our purposes. |
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| Original publication 2000-12-21 |
Postscript
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