Northampton Electronic Collection of Theses and Research

Automated test case generation from domain specific models of high-level requirements

Olajubu, O., Ajit, S., Johnson, M., Turner, S. J., Thomson, S. and Edwards, M. (2015) Automated test case generation from domain specific models of high-level requirements. In: Proceedings of the 2015 Conference on Research in Adaptive and Convergent Systems :. New York, NY, USA: Association for Computing Machinery (ACM). pp. 505-508.

[A][B][+][-]
11894:25130
[thumbnail of Automated test case generation from domain specific models of high-level requirements RACS 2015]
Automated test case generation from domain specific models of high-level requirements RACS 2015
Automated_test_case_generation_from_domain_specific_models_of_high_level_requirements_RACS_2015.pdf - Accepted Version
Information
Abstract:
Model-based software development has been shown to improve productivity and quality of software through automation. This involves using abstractions or models at several stages of development. This work reports on preliminary attempts to automate the generation of test cases from software requirement models using an industrial case study. The requirements are represented using a modeling notation and test cases are automatically generated using model to text transformation techniques.
Uncontrolled Keywords:
Domain specific languages, model-based testing
Creators:
Olajubu, O., Ajit, S., Johnson, M., Turner, S. J., Thomson, S. and Edwards, M.
Publisher:
Association for Computing Machinery (ACM)
Faculties, Divisions and Institutes:
University Faculties, Divisions and Research Centres - OLD > Research Group > Science and Technology Research in Pedagogy
Research Centres > Science and Technology Research in Pedagogy
Faculties > Faculty of Arts, Science & Technology > Computing
Date:
9 October 2015
Date Type:
Publication
Page Range:
pp. 505-508
Title of Book:
Proceedings of the 2015 Conference on Research in Adaptive and Convergent Systems :
Series Name:
RACS 2015
Place of Publication:
New York, NY, USA
Number of Pages:
4
Language:
English
ISBN:
9781450337380
Status:
Published / Disseminated
Refereed:
Yes
Related URLs:
Edit Item