Stability prediction of the software requirements specification

Stability prediction of the software requirements specification Complex decision-making is a prominent aspect of Requirements Engineering. This work presents the Bayesian network Requisites that predicts whether the requirements specification documents have to be revised. We test Requisites’ suitability by means of metrics obtained from a large complex software project. Furthermore, this Bayesian network has been integrated into a software tool by defining a communication interface inside a multilayered architecture. In this way, we add a new decision-making functionality that provides requirements engineers with a feature to explore software requirement specification by combining requirement metrics and the probability values estimated by the Bayesian network. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Software Quality Journal Springer Journals

Stability prediction of the software requirements specification

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Publisher
Springer Journals
Copyright
Copyright © 2017 by Springer Science+Business Media New York
Subject
Computer Science; Software Engineering/Programming and Operating Systems; Programming Languages, Compilers, Interpreters; Data Structures, Cryptology and Information Theory; Operating Systems
ISSN
0963-9314
eISSN
1573-1367
D.O.I.
10.1007/s11219-017-9362-x
Publisher site
See Article on Publisher Site

Abstract

Complex decision-making is a prominent aspect of Requirements Engineering. This work presents the Bayesian network Requisites that predicts whether the requirements specification documents have to be revised. We test Requisites’ suitability by means of metrics obtained from a large complex software project. Furthermore, this Bayesian network has been integrated into a software tool by defining a communication interface inside a multilayered architecture. In this way, we add a new decision-making functionality that provides requirements engineers with a feature to explore software requirement specification by combining requirement metrics and the probability values estimated by the Bayesian network.

Journal

Software Quality JournalSpringer Journals

Published: Apr 8, 2017

References

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