Integrated adaptive reasoning testing framework with automated fault detection

  • Wei Tek Tsai
  • , Guanqiu Qi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Following development of Software-as-a-Service (SaaS), combinatorial testing technologies are used in SaaS testing. It is difficult to handle the exponential growth of SaaS testing workloads. This paper proposes a new integrated testing framework using Adaptive Reasoning algorithm with automated test cases generation (ARP) and Test Algebra (TA) to increase SaaS testing efficiency. ARP algorithm can rapidly identify and eliminate faulty combinations. The proposed integrated testing framework is simulated in cloud environment.

Original languageEnglish
Title of host publicationProceedings - 9th IEEE International Symposium on Service-Oriented System Engineering, IEEE SOSE 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages169-178
Number of pages10
ISBN (Electronic)9781479983551
DOIs
StatePublished - 24 Jun 2015
Event9th IEEE International Symposium on Service-Oriented System Engineering, IEEE SOSE 2015 - San Francisco, United States
Duration: 30 Mar 20153 Apr 2015

Publication series

NameProceedings - 9th IEEE International Symposium on Service-Oriented System Engineering, IEEE SOSE 2015
Volume30

Conference

Conference9th IEEE International Symposium on Service-Oriented System Engineering, IEEE SOSE 2015
Country/TerritoryUnited States
CitySan Francisco
Period30/03/153/04/15

Keywords

  • Combinatorial testing
  • Framework
  • SaaS

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