Crucial tool features for successful combinatorial input parameter testing in an industrial application

Christian Eitner, Franz Wotawa

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

Abstract

In this paper, we report on the use of available combinatorial testing tools on a large industrial object-oriented.N E T application to find out whether combinatorial testing methods are readily usable to perform combinatorial input parameter testing in an industrial setup. In particular, we applied CAmetrics and CCM to compute the combinatorial coverage of existing tests, and CAgen and ACTS to generate test suites from scratch. We identified shortcomings in some of the tools that may prevent them from being used in practice.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE 12th International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2019
PublisherInstitute of Electrical and Electronics Engineers
Pages188-189
Number of pages2
ISBN (Electronic)9781728108889
DOIs
Publication statusPublished - Apr 2019
Event12th IEEE International Conference on Software Testing, Verification and Validation Workshops: ICSTW 2019 - Xi'an, China
Duration: 22 Apr 201927 Apr 2019

Publication series

NameProceedings - 2019 IEEE 12th International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2019

Conference

Conference12th IEEE International Conference on Software Testing, Verification and Validation Workshops
Country/TerritoryChina
CityXi'an
Period22/04/1927/04/19

Keywords

  • Application of combinatorial testing
  • Case study
  • Combinatorial testing

ASJC Scopus subject areas

  • Software
  • Safety, Risk, Reliability and Quality

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