Reducing Verification Effort in Component-Based Software Engineering through Built-In Testing

Brenner, Daniel; Atkinson, Colin; Paech, Barbara; Malaka, Rainer; Merdes, Matthias; Suliman, D.

doi:10.1109/edoc.2006.44

Cited by 23 publications

(25 citation statements)

References 4 publications

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“…A simple monitoring solution would be to deny or postpone the execution of the test case if this needs more resources than currently available, for example if system load grows over a certain threshold [4]. A more advanced possibility would be to allow components and tests to negotiate the resources needed for specific tests.…”

Section: Resource Monitoringmentioning

confidence: 99%

“…Deployment-time testing is motivated because there are many aspects of a system that cannot be verified until the system is deployed in the real environment [4,21]. Also, on Systems of Systems and Service Oriented Architectures, engineers will have to integrate components that are autonomous, (i.e.…”

Section: Runtime Testingmentioning

confidence: 99%

“…On the right-hand side, a runtime testing process where the planning and testing phases are executed over the production system. Architectural support (special sets of interfaces and/or components and the activities associated to them) for testing a system once it has been deployed have already been introduced for component-based systems [4,13] and autonomic systems [18].…”

Section: Runtime Testingmentioning

confidence: 99%

“…Many of the concepts inherent to runtime testing are introduced through Brenner et al [4] without relating them explicitly to the concept of runtime testability. Examples are awareness of when tests are possible from the application logic and resource availability point of view, or the necessity for an infrastructure that isolates application logic from testing operations applying the appropriate countermeasures.…”

Section: Runtime Testingmentioning

confidence: 99%

“…Runtime Testing is a testing method that has to be carried out on the final execution environment [4]. It can be divided on two phases: deployment-testing (when the software is first installed), and in-servicetesting (once the system is in use).…”

Section: Runtime Testingmentioning

confidence: 99%

See 4 more Smart Citations

A Model for the Measurement of the Runtime Testability of Component-Based Systems

González

Piel

Groß

2009

2009 International Conference on Software Testing, Verification, and Validation Workshops

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Runtime testing is emerging as the solution for the integration and validation of software systems where traditional development-time integration testing cannot be performed, such as Systems of Systems or Service Oriented Architectures. However, performing tests during deployment or in-service time introduces interference problems, such as undesired side-effects in the state of the system or the outside world.This paper presents a qualitative model of runtime testability that complements Binder's classical testability model, and a generic measurement framework for quantitatively assessing the degree of runtime testability of a system based on the ratio of what can be tested at runtime vs. what would have been tested during development time. A measurement is devised for the concrete case of architecture-based test coverage, by using a graph model of the system's architecture. Concretely, two testability studies are performed for two component based systems, showing how to measure the runtime testability of a system.

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Section: Resource Monitoringmentioning

confidence: 99%

Section: Runtime Testingmentioning

confidence: 99%

Section: Runtime Testingmentioning

confidence: 99%

Section: Runtime Testingmentioning

confidence: 99%

Section: Runtime Testingmentioning

confidence: 99%

See 3 more Smart Citations

A Model for the Measurement of the Runtime Testability of Component-Based Systems

González

Piel

Groß

2009

2009 International Conference on Software Testing, Verification, and Validation Workshops

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Selective Test Generation Approach for Testing Dynamic Behavioral Adaptations

Lahami

Krichen

Barhoumi

et al. 2015

Lecture Notes in Computer Science

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This paper presents a model-based black-box testing approach for dynamically adaptive systems. Behavioral models of such systems are formally specified using timed automata. With the aim of obtaining the new test suite and avoiding its regeneration in a cost effective manner, we propose a selective test generation approach. The latter comprises essentially three modules: (1) a model differencing module that detects similarities and differences between the initial and the evolved behavioral models, (2) an old test classification module that identifies reusable and retestable tests from the old test suite, and finally (3) a test generation module that generates new tests covering new behaviors and adapts old tests that failed during animation. To show its efficiency, the proposed technique is illustrated through the Toast application and compared to the classical Regenerate All and Retest All approaches.

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