Stability prediction of the software requirements specification

Fuente: arXiv
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Bibliographic Details
Main Authors: del Sagrado, J., del Águila, I. M.
Format: Preprint
Published: 2024
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author del Sagrado, J.
del Águila, I. M.
author_facet del Sagrado, J.
del Águila, I. M.
contents 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 show how to validate Requisites by means of metrics obtained from a large complex software project. Besides, this Bayesian network has been integrated into a software tool by defining a communication interface inside a multilayer architecture to add this a new decision making functionality. It provides requirements engineers a way of exploring the software requirement specification by combining requirement metrics and the probability values estimated by the Bayesian network.
format Preprint
id arxiv_https___arxiv_org_abs_2401_12636
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Stability prediction of the software requirements specification
del Sagrado, J.
del Águila, I. M.
Software Engineering
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 show how to validate Requisites by means of metrics obtained from a large complex software project. Besides, this Bayesian network has been integrated into a software tool by defining a communication interface inside a multilayer architecture to add this a new decision making functionality. It provides requirements engineers a way of exploring the software requirement specification by combining requirement metrics and the probability values estimated by the Bayesian network.
title Stability prediction of the software requirements specification
topic Software Engineering
url https://arxiv.org/abs/2401.12636