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Gonzales-Sanchez, A. (author), Piel, E.A.B. (author), Gross, H.G. (author), Van Gemund, A.J.C. (author)
Runtime testing is emerging as the solution for the integration and assessment of highly dynamic, high availability software systems where traditional development-time integration testing cannot be performed. A prerequisite for runtime testing is the knowledge about to which extent the system can be tested safely while it is operational, i.e.,...
journal article 2011
document
Gonzalez, A. (author), Piel, E. (author), Gross, H.G. (author), Van Gemund, A.J.C. (author)
Runtime testing is emerging as the solution for the integration and assessment of highly dynamic, high availability software systems where traditional development-time integration testing cannot be performed. A prerequisite for runtime testing is the knowledge about to which extent the system can be tested safely while it is operational, i.e.,...
report 2010
document
Gonzalez-Sanchez, A. (author), Abreu, R. (author), Gross, H. (author), Van Gemund, A. (author)
When failures occur during software testing, automated software fault localization helps to diagnose their root causes and identify the defective components of a program to support debugging. Diagnosis is carried out by selecting test cases in such way that their pass or fail information will narrow down the set of fault candidates, and,...
report 2010
document
Gonzalez-Sanchez, A. (author), Abreu, R. (author), Gross, H. (author), Van Gemund, A. (author)
In development processes with high code production rates testing typically triggers fault diagnosis to localize the detected failures. However, current test prioritization algorithms are tuned for failure detection rate rather than diagnostic information. Consequently, unnecessary diagnostic effort might be spent to localize the faults. We...
report 2010
document
Gonzalez, A. (author), Piel, E.A.B. (author), Gross, H.G. (author), Van Gemund, A.J.C. (author)
Paper submitted for review at QSIC'10 Test prioritization techniques select test cases that maximize the confidence on the correctness of the system when the resources for quality assurance (QA) are limited. In the event of a test failing, the fault at the root of the failure has to be localized, adding an extra debugging cost that has to be...
report 2009
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