Meitner M, Saglietti F (2014)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2014
Publisher: Springer-verlag
Edited Volumes: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Series: Lecture Notes in Computer Science
Book Volume: 8376
Pages Range: 192-206
Conference Proceedings Title: Measurement, Modelling, and Evaluation of Computing Systems and Dependability and Fault Tolerance
ISBN: 978-3-319-05358-5
DOI: 10.1007/978-3-319-05359-2_14
This article presents some approaches to software reliability testing supporting high coverage of component or (sub-)system interactions while enabling the selection of test cases according to target and scenario-specific criteria. On the one hand, in order to allow for reliability assessment, automatic test generation approaches must support the provision of stochastically independent and operationally representative test data. On the other hand, crucial sub-system interactions must be tested as intensely as possible, with particular concern for the even distribution of testing effort or for the prioritization of domain-critical data. Depending on such application-specific peculiarities, different multi-objective optimization problems are approached by novel genetic algorithms, successively applied to an interaction-intensive example in order to illustrate their practicality.
APA:
Meitner, M., & Saglietti, F. (2014). Target-Specific Adaptations of Coupling-Based Software Reliability Testing. In Kai Fischbach, Udo R. Krieger (Eds.), Measurement, Modelling, and Evaluation of Computing Systems and Dependability and Fault Tolerance (pp. 192-206). Bamberg (D), DE: Springer-verlag.
MLA:
Meitner, Matthias, and Francesca Saglietti. "Target-Specific Adaptations of Coupling-Based Software Reliability Testing." Proceedings of the 17th International GI/ITG Conference on Measurement, Modelling, and Evaluation of Computing Systems and Dependability and Fault Tolerance (MMB & DFT 2014), Bamberg (D) Ed. Kai Fischbach, Udo R. Krieger, Springer-verlag, 2014. 192-206.
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