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| Ajitha Rajan, Michael W. Whalen, Mats P.E. Heimdahl, "Model Validation using Automatically Generated Requirements-Based Tests," Ninth IEEE International Symposium on High-Assurance Systems Engineering (HASE'05), pp. 95-104, 10th IEEE High Assurance Systems Engineering Symposium (HASE'07), 2007. | |||
| BibTex | x | ||
| @article{ 10.1109/HASE.2007.57, author = {Ajitha Rajan and Michael W. Whalen and Mats P.E. Heimdahl}, title = {Model Validation using Automatically Generated Requirements-Based Tests}, journal ={Ninth IEEE International Symposium on High-Assurance Systems Engineering (HASE'05)}, volume = {0}, year = {2007}, issn = {1530-2059}, pages = {95-104}, doi = {http://doi.ieeecomputersociety.org/10.1109/HASE.2007.57}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Ninth IEEE International Symposium on High-Assurance Systems Engineering (HASE'05) TI - Model Validation using Automatically Generated Requirements-Based Tests SN - 1530-2059 SP95 EP104 A1 - Ajitha Rajan, A1 - Michael W. Whalen, A1 - Mats P.E. Heimdahl, PY - 2007 KW - null VL - 0 JA - Ninth IEEE International Symposium on High-Assurance Systems Engineering (HASE'05) ER - | |||
In current model-based development practice, validation that we are building a correct model is achieved by manually deriving requirements-based test cases for model testing. Model validation performed this way is time consuming and expensive, particularly in the safety critical systems domain where high confidence in the model correctness is required.
In an effort to reduce the validation effort, we propose an approach that automates the generation of requirementsbased tests for model validation purposes. Our approach uses requirements formalized as LTL properties as a basis for test generation. Test cases are generated to provide rigorous coverage over these formal properties. We use an abstract model in this paper-called the Requirements Model-generated from requirements and environmental constraints for automated test case generation. We illustrate and evaluate our approach using three realistic or production examples from the avionics domain. The proposed approach was effective on two of the three examples used, owing to their extensive and well defined set of requirements.
