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Learning-Based Testing of Distributed Microservice Architectures: Correctness and Fault Injection
KTH, School of Computer Science and Communication (CSC), Theoretical Computer Science, TCS.ORCID iD: 0000-0002-9706-5008
2015 (English)In: SOFTWARE ENGINEERING AND FORMAL METHODS (SEFM 2015), 2015, 3-10 p.Conference paper, Published paper (Refereed)
Resource type
Text
Abstract [en]

We report on early results in a long term project to apply learning-based testing (LBT) to evaluate the functional correctness of distributed systems and their robustness to injected faults. We present a case study of a commercial product for counter-party credit risk implemented as a distributed microservice architecture. We describe the experimental set-up, as well as test results. From this experiment, we draw some conclusions about prospects for future research in learning-based testing.

Place, publisher, year, edition, pages
2015. 3-10 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 9509
Keyword [en]
Automated test case generation, Fault injection, Learning-based testing, Microservice, Requirements testing, Robustness testing
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-186026DOI: 10.1007/978-3-662-49224-6_1ISI: 000373431300001Scopus ID: 2-s2.0-84956611913ISBN: 978-3-662-49224-6; 978-3-662-49223-9 (print)OAI: oai:DiVA.org:kth-186026DiVA: diva2:926095
Conference
13th International Conference on Software Engineering and Formal Methods (SEFM), SEP 07-11, 2015, York, ENGLAND
Note

QC 20160504

Available from: 2016-05-04 Created: 2016-04-29 Last updated: 2016-05-09Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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More styles
Language
  • de-DE
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  • Other locale
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Output format
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