Please use this identifier to cite or link to this item: http://dspace.ucuenca.edu.ec/handle/123456789/21987
Title: An experiment design for validating a test case generation strategy from requirements models
Authors: Granda Juca, María Fernanda
Keywords: Conceptual Schema Testing
Experimental Design
Model-driven testing
Test Case Validation
Test Cases Generation
Test Model Generation
Issue Date: 25-Aug-2014
metadata.dc.ucuenca.embargoend: 1-Jan-2022
Publisher: INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS INC.
metadata.dc.description.city: 
Karlskrona
metadata.dc.type: Article
Abstract: 
Currently, in a Model-Driven Engineering environment, it is a difficult and challenging task to fully automate model-driven testing because this demands complete and unambiguous models as input. Although some approaches have been developed to generate test cases from models, they require rigorous assessment of the completeness of the derivation rules. This paper proposes the plan and design of a controlled experiment that analyses a test case generation strategy for the purpose of evaluating its completeness from the viewpoint of those testers who will use a Communication Analysis-based requirements model. We will compare the abstract test cases obtained by applying (i) manual derivation without derivation rules with (ii) manual derivation with transformation rules; and both these strategies against a case of automated generation using transformation rules.
URI: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84928105892&doi=10.1109%2fEmpiRE.2014.6890115&partnerID=40&md5=e4756f73f22694b9356a74ffd65742a1
http://dspace.ucuenca.edu.ec/handle/123456789/21987
ISBN: 9781479963379
Appears in Collections:Artículos

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