A model-based regression test selection technique

Naslavsky, Leila; Ziv, Hadar; Richardson, Debra J.

doi:10.1109/icsm.2009.5306338

Cited by 18 publications

(17 citation statements)

References 10 publications

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“…Furthermore, our approach exploits changes in the intra-and intercomponent behavior for change impact analysis. In Naslavsky et al (2009), test cases are generated from sequence diagrams and class diagrams such that during test case generation traceability links from model elements to test cases are established. When models are modified, a change impact analysis on the model is performed.…”

Section: Model-based Testing Of Variant-rich Systemsmentioning

confidence: 99%

Delta-oriented model-based integration testing of large-scale systems

Lochau

Lity

Lachmann

et al. 2014

Journal of Systems and Software

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Section: Model-based Testing Of Variant-rich Systemsmentioning

confidence: 99%

Delta-oriented model-based integration testing of large-scale systems

Lochau

Lity

Lachmann

et al. 2014

Journal of Systems and Software

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“…[22] have provided a specification-based regression method based on activity diagram to obtain both Targeted Tests, which ensure that important current customer features are still supported adequately in the new release ,and Safety Tests, which are riskdirected, and ensure that potential problem areas are properly handled . Based on model modification, [23] selected test cases to address traceability through creation of relationships among transformed models, then to select test cases that traverse those elements.…”

Section: ) Model-based Approachmentioning

confidence: 99%

A multidimensional classification of safe regression test selection techniques

Liu

Zhang

2012

2012 International Conference on Systems and Informatics (ICSAI2012)

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Regression test selection (RTS) techniques select and retest a subset of the existing test suite aiming at reducing the cost and improving the efficiency of the regression testing during maintenance of evolving software. Safe RTS technique, which is one of the most important approaches of a wide variety of RTS techniques, is focused on the selective strategy from safety aspect. In this paper, we restrict our eyes on the evolutional adaption of safe RTS techniques with the evolving software. A framework for classifying safe RTS techniques based on multidimensional viewpoint is presented. The set of conditions required for safety adaptively with the multidimensional viewpoint is emphasized. Several representative approaches based on the proposed classification are assessed. And some future potential research trends are discussed.

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“…Recent developments in model-based regression testing include: model-based test prioritization heuristics [10], [7] that focus on model-based change impact analysis, and the use of traceability information [12] in support of automatic test generation based on UML sequence diagrams. In particular, the work of [12] and [7] perform change impact analysis based on the differentiating of model diagrams.…”

Section: Related Workmentioning

confidence: 99%

“…In particular, the work of [12] and [7] perform change impact analysis based on the differentiating of model diagrams. This approach is very costly and time consuming since it requires the compilation of two or more models in a single step.…”

Section: Related Workmentioning

confidence: 99%

Supporting Concern-Based Regression Testing and Prioritization in a Model-Driven Environment

Filho

Budnik

Hasling

et al. 2010

2010 IEEE 34th Annual Computer Software and Applications Conference Workshops

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Abstract-Traditional regression testing and prioritization approaches are bottom-up (or white-box). They rely on the analysis of the impact of changes in source code artifacts, identifying corresponding parts of software to retest. While effective in minimizing the amount of testing required to validate code changes, they do not leverage on specificationlevel design and requirements concerns that motivated these changes. Model-based testing approaches support a top-down (or black box) testing approach, where design and requirements models are used in support of test generation. They augment code-based approaches with the ability to test from a higher-level design and requirements perspective. In this paper, we present a model-based regression testing and prioritization approach that efficiently selects test cases for regression testing based on different concerns. It relies on traceability links between models, test cases and code artifacts, together with user-defined properties associated to model elements. In particular we describe how to support concernbased regression testing and prioritization using TDE/UML, an extensible model-based testing environment.

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A model-based regression test selection technique

Cited by 18 publications

References 10 publications

Delta-oriented model-based integration testing of large-scale systems

Delta-oriented model-based integration testing of large-scale systems

A multidimensional classification of safe regression test selection techniques

Supporting Concern-Based Regression Testing and Prioritization in a Model-Driven Environment

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