Learning and statistical model checking of system response times-Reference-Cited by-同舟云学术

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Learning and statistical model checking of system response times

Published:2019-01-03 Issue:2 Volume:27 Page:757-795
ISSN:0963-9314
Container-title:Software Quality Journal
language:en
Short-container-title:Software Qual J

Author:

Aichernig Bernhard K.,Bauerstätter Priska,Jöbstl Elisabeth,Kann Severin,Korošec Robert,Krenn Willibald,Mateis Cristinel,Schlick Rupert,Schumi Richard

Funder

Österreichische Forschungsförderungsgesellschaft FFG

Publisher

Springer Science and Business Media LLC

Subject

Safety, Risk, Reliability and Quality,Software

Link

http://link.springer.com/content/pdf/10.1007/s11219-018-9432-8.pdf

Reference45 articles.

1. Aichernig, B.K., & Schumi, R. (2016a). Property-based testing with FsCheck by deriving properties from business rule models. In Ninth IEEE international conference on software testing, verification and validation workshops, ICST Workshops 2016, Chicago, IL, USA, April 11-15, 2016 (pp. 219–228). IEEE Computer Society.

2. Aichernig, B.K., & Schumi, R. (2016b). Towards integrating statistical model checking into property-based testing. In 2016 ACM/IEEE international conference on formal methods and models for system design, MEMOCODE 2016, Kanpur, India, November 18-20, 2016 (pp. 71–76). IEEE.

3. Aichernig, B.K., & Schumi, R. (2017a). Statistical model checking meets property-based testing. In 2017 IEEE International conference on software testing, verification and validation, ICST 2017, Tokyo, Japan, March 13-17, 2017 (pp. 390–400). IEEE Computer Society.

4. Aichernig, B.K., & Schumi, R. (2017b). Property-based testing of web services by deriving properties from business-rule models. Software & Systems Modeling.

5. Aichernig, B.K., & Schumi, R. (2018). How fast is MQTT? - Statistical model checking and testing of IoT protocols. In Quantitative evaluation of systems - 15th international conference, QEST 2018, Beijing, China, September 4-7, 2018, proceedings, volume 11024 of lecture notes in computer science (pp. 36–52). Springer.

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