Automatic derivation of software test-cases code from formal models
Model-Driven Testing or MDT is a new and promising approach for software testing automation that can significantly reduce the efforts in the testing cycle of every software development. It consists in a black box test that uses structural and behavioral models to automate the tests generation proces...
Autores principales: | , |
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Formato: | Objeto de conferencia |
Lenguaje: | Inglés |
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2017
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Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/135643 |
Aporte de: |
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I19-R120-10915-135643 |
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institution |
Universidad Nacional de La Plata |
institution_str |
I-19 |
repository_str |
R-120 |
collection |
SEDICI (UNLP) |
language |
Inglés |
topic |
Ciencias Informáticas Model-Driven Testing Software testing |
spellingShingle |
Ciencias Informáticas Model-Driven Testing Software testing Rosenfeld, Ilan Pons, Claudia Fabiana Automatic derivation of software test-cases code from formal models |
topic_facet |
Ciencias Informáticas Model-Driven Testing Software testing |
description |
Model-Driven Testing or MDT is a new and promising approach for software testing automation that can significantly reduce the efforts in the testing cycle of every software development. It consists in a black box test that uses structural and behavioral models to automate the tests generation process. In this context, we developed a tool which allows developers to translate a data model with formal constraints to its corresponding Java code, automating the generation of strong test-cases codes and specifying them not only in java language but also in two formal languages, such as OCL and Alloy.
This tool gives a trustworthy and verifiable support with different techniques. In this way, the test-cases code generation process is improved and its quality enhanced. |
format |
Objeto de conferencia Objeto de conferencia |
author |
Rosenfeld, Ilan Pons, Claudia Fabiana |
author_facet |
Rosenfeld, Ilan Pons, Claudia Fabiana |
author_sort |
Rosenfeld, Ilan |
title |
Automatic derivation of software test-cases code from formal models |
title_short |
Automatic derivation of software test-cases code from formal models |
title_full |
Automatic derivation of software test-cases code from formal models |
title_fullStr |
Automatic derivation of software test-cases code from formal models |
title_full_unstemmed |
Automatic derivation of software test-cases code from formal models |
title_sort |
automatic derivation of software test-cases code from formal models |
publishDate |
2017 |
url |
http://sedici.unlp.edu.ar/handle/10915/135643 |
work_keys_str_mv |
AT rosenfeldilan automaticderivationofsoftwaretestcasescodefromformalmodels AT ponsclaudiafabiana automaticderivationofsoftwaretestcasescodefromformalmodels |
bdutipo_str |
Repositorios |
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1764820455541178368 |