Title

A constraint-based approach to the representation of software usage models

Authors

Authors

J. Poore; G. H. Walton;J. A. Whittaker

Comments

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Abbreviated Journal Title

Inf. Softw. Technol.

Keywords

software usage models; Markov chains; convex constraints; Computer Science, Information Systems; Computer Science, Software; Engineering

Abstract

Software usage models are the basis for statistical testing. They derive their structure from specifications and their probabilities from evolving knowledge about the intended use of the software product. The evolving knowledge comes from developers, customers and testers of the software system in the form of relationships that should hold among the parameters of a model. When software usage models are encoded as Markov chains, their structure can be represented by a system of linear constraints, and many of the evolving relationships among model parameters can be represented by convex constraints. Given a Markov chain usage model as a system of convex constraints, mathematical programming can be used to generate the Markov chain transition probabilities that represent a specific software usage model. (C) 2000 Elsevier Science B.V. All rights reserved.

Journal Title

Information and Software Technology

Volume

42

Issue/Number

12

Publication Date

1-1-2000

Document Type

Article

Language

English

First Page

825

Last Page

833

WOS Identifier

WOS:000089543000005

ISSN

0950-5849

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