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2020 | OriginalPaper | Buchkapitel

A Deployment Framework for Ensuring Business Compliance Using Goal Models

verfasst von : Novarun Deb, Mandira Roy, Surochita Pal, Ankita Bhaumick, Nabendu Chaki

Erschienen in: Transactions on Computational Science XXXV

Verlag: Springer Berlin Heidelberg

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Abstract

Based on initial research to transform a sequence agnostic goal model into a finite state model (FSM) and then checking them against temporal properties (in CTL), researchers have come up with guidelines for generating compliant finite state models altogether. The proposed guidelines provide a formal approach to prune a non-compliant FSM (generated by the Semantic Implosion Algorithm) and generate FSM-alternatives that satisfy the given temporal property. This paper is an extension of the previous work that implements the proposed guidelines and builds a deployment interface called \(i^*\)ToNuSMV 3.0. The working of the framework is demonstrated with the help of some use cases. In the end, a comparative study of the performance between the previous and current versions of the Semantic Implosion Algorithm (SIA) with respect to the size of the solution space and the execution times, respectively, has also been presented.

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Literatur
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Metadaten
Titel
A Deployment Framework for Ensuring Business Compliance Using Goal Models
verfasst von
Novarun Deb
Mandira Roy
Surochita Pal
Ankita Bhaumick
Nabendu Chaki
Copyright-Jahr
2020
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-662-61092-3_6