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Stability prediction of the software requirements specification

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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.

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Acknowledgements

This research has been financed by the Spanish Ministry of Economy and Competitiveness under projects TIN2013-46638-C3-1-P, TIN2015-71841-REDT and partially supported by the Data, Knowledge and Software Engineering (DKSE) research group (TIC-181) of the University of Almería.

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  1. Department of Informatics, University of Almería, Ctra. Sacramento s/n, 04120, Almería, Spain

    José del Sagrado & Isabel M. del Águila

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  1. José del Sagrado
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  2. Isabel M. del Águila
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Correspondence to Isabel M. del Águila.

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del Sagrado, J., del Águila, I.M. Stability prediction of the software requirements specification. Software Qual J 26, 585–605 (2018). https://doi.org/10.1007/s11219-017-9362-x

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