Towards Self-Testing in Autonomic Computing Systems

King, Tariq M.; Babich, Djuradj; Alava, Jonatan; Clarke, Peter J.; Stevens, Ronald

doi:10.1109/isads.2007.75

Cited by 31 publications

(11 citation statements)

References 10 publications

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“…Their self-testable components already contain test sequences and test oracles as part of their infrastructure. A promising work found is that of King et al [16], which employs a self-testing approach whose objective is to test the system after an adaptation has been performed. Their mechanism assumes that autonomic managers will perform the necessary system adjustments when they detect the need to adapt.…”

Section: Related Workmentioning

confidence: 99%

A fault deployment and activation approach for testing self-recovery mechanisms

Gama

Donsez

2014

Proceedings of the 29th Annual ACM Symposium on Applied Computing

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The hypotheses on potential sources of error in an application can be specified in a fault model, which is useful for testing and for fault detection mechanisms. Based on a fault model, we developed custom mechanisms for providing self-recovery behavior in a component platform when third-party components behave inappropriately. In order to perform the tests for validating such mechanisms, it would be necessary to use a technique for fault injection so we could simulate faulty behavior. However such a technique may not be appropriate for a component-based approach. The behavior of systems tested with faults injected in the interface level (e.g., passing invalid parameters) would not represent actual application usage, thus significantly differing from cases where faults are injected in the component level (e.g. emulation of internal component errors). This paper presents our approach for testing, involving a general model for fault deployment and activation. Faulty components deployed at runtime represent faulty behaviors from the fault model. These faults are remotely activated through test probes that help testing the effectiveness of the platform's self-adaptive mechanisms.

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Section: Related Workmentioning

confidence: 99%

A fault deployment and activation approach for testing self-recovery mechanisms

Gama

Donsez

2014

Proceedings of the 29th Annual ACM Symposium on Applied Computing

View full text Add to dashboard Cite

show abstract

“…A promising work found is that of King et al [23], which employs a self-testing approach whose objective is to test the system after an adaptation has been perform. Their mechanism assumes that autonomic managers will perform the necessary system adjustments when they detect the need to adapt.…”

Section: Related Workmentioning

confidence: 99%

Deployment and activation of faulty components at runtime for testing self-recovery mechanisms

Gama

Donsez

2014

SIGAPP Appl. Comput. Rev.

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The hypotheses on potential sources of error in an application can be specified in a fault model, which helps testing scenarios that are likely to be buggy. Based on a fault model, we developed custom fault detection mechanisms for providing self-recovery behavior in a component platform when third-party components behave inappropriately. In order to perform the tests for validating such mechanisms, it would be necessary to use a technique for fault injection so we could simulate faulty behavior. However such a technique may not be appropriate for a component-based approach. The behavior of systems tested with faults injected in the interface level (e.g., passing invalid parameters) would not represent actual application usage, thus significantly differing from cases where faults are injected in the component level (e.g. emulation of internal component errors). This paper presents our approach for testing self-adaptive mechanism, involving a general model for fault deployment and fault activation. Faulty components deployed at runtime represent faulty behaviors specified in the fault model. These faults are remotely activated through test probes that help testing the effectiveness of the platform's self-adaptive mechanisms that are fired upon the detection of the specified faulty behavior. 1

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“…King et al [9] propose a framework for self-testing of autonomic computing systems (ACS). In particular, they introduce so called "test manager components" that communicate with an ACS to dynamically validate change requests.…”

Section: Related Workmentioning

confidence: 99%

Testing Policy-based Systems with Scenarios

Strembeck¹

2011

Parallel and Distributed Computing and Networks / 720: Software Engineering

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Policy-based systems consist of interacting software artifacts and, at first glance, can be tested as any other software system. In a policy-based system, however, the behavior of system entities may change dynamically and frequently, depending on the policy rules governing this behavior. Therefore, policy-based systems demand for a testing approach that especially allows for the testing of dynamically changing system behavior. Thus, testing of policy rules has to check if the behavior that is actually enforced by a set of policies, conforms to the intended behavior of the corresponding system entities. Scenarios are an important means to specify behavior of software entities. In this paper, we introduce an approach to test policybased systems with scenarios, and present an (embedded) domain-specific language for scenario-based testing.

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Towards Self-Testing in Autonomic Computing Systems

Cited by 31 publications

References 10 publications

A fault deployment and activation approach for testing self-recovery mechanisms

A fault deployment and activation approach for testing self-recovery mechanisms

Deployment and activation of faulty components at runtime for testing self-recovery mechanisms

Testing Policy-based Systems with Scenarios

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