Checking Response-Time Properties of Web-Service Applications Under Stochastic User Profiles

Richard Alexander Schumi, Priska Lang, Bernhard K. Aichernig, Willibald Krenn, Rupert Schlick

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Performance evaluation of critical software is important but also
computationally expensive. It usually involves sophisticated load-testing tools
and demands a large amount of computing resources. Analysing different user
populations requires even more effort, becoming infeasible in most realistic
cases. Therefore, we propose a model-based approach. We apply model-based
test-case generation to generate log-data and learn the associated
distributions of response times. These distributions are added to the
behavioural models on which we perform statistical model checking (SMC) in
order to assess the probabilities of the required response times. Then, we
apply classical hypothesis testing to evaluate if an implementation of the
behavioural model conforms to these timing requirements. This is the first
model-based approach for performance evaluation combining automated test-case
generation, cost learning and SMC for real applications. We realised this
method with a property-based testing tool, extended with SMC functionality,
and evaluate it on an industrial web-service application.
Original languageEnglish
Title of host publication29th IFIP International Conference on Testing, Software and Systems (ICTSS 2017)
PublisherSpringer Verlag
DOIs
Publication statusPublished - 2017
Event29th IFIP WG 6.1 International Conference on Testing Software and Systems, ICTSS 2017 - St. Petersburg, Russian Federation
Duration: 9 Oct 201711 Oct 2017

Conference

Conference29th IFIP WG 6.1 International Conference on Testing Software and Systems, ICTSS 2017
CountryRussian Federation
CitySt. Petersburg
Period9/10/1711/10/17

Fields of Expertise

  • Information, Communication & Computing

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