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Authors: | Simon White and Derek Sleeman | |
Article title: | A Constraint-Based Approach to the Description and Detection of Fitness-for-Purpose | |
Publ. type: | Article | |
Volume: | 5 | |
Article No: | 37 | |
Language: | English | |
Abstract [en]: | 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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Publisher: | LINKÖPING University Electronic Press | |
Year: | 2000 | |
Available: | 2000-12-21 | |
No. of pages: | 25 | |
Series: | LINKÖPING Electronic Articles in Computer and Information Science | |
ISSN: | 1401-9841 |