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An experiment design for validating a test case generation strategy from requirements models

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

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.

Original languageEnglish
Title of host publication2014 IEEE 4th International Workshop on Empirical Requirements Engineering, EmpiRE 2014 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages44-47
Number of pages4
ISBN (Electronic)9781479963379
DOIs
StatePublished - 3 Sep 2014
Event2014 IEEE 4th International Workshop on Empirical Requirements Engineering, EmpiRE 2014 - Karlskrona, Sweden
Duration: 25 Aug 2014 → …

Publication series

Name2014 IEEE 4th International Workshop on Empirical Requirements Engineering, EmpiRE 2014 - Proceedings

Conference

Conference2014 IEEE 4th International Workshop on Empirical Requirements Engineering, EmpiRE 2014
Country/TerritorySweden
CityKarlskrona
Period25/08/14 → …

Keywords

  • Conceptual Schema Testing
  • Experimental Design
  • Model-driven testing
  • Test Case Validation
  • Test Cases Generation
  • Test Model Generation

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