A “strength of decision tree equivalence”-taxonomy and its impact on test suite reduction

Hermann Felbinger*, Ingo Pill, Franz Wotawa

*Corresponding author for this work

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


Being able to reduce test suites without having to execute them for assessing the effects on their fault detection capabilities is quite appealing. In this direction, we proposed recently to characterize test suites via inferred decision trees and use these for comparisons in a reduction process. The equivalence relation underlying the comparisons plays obviously a significant role for the effectiveness achieved and efficiency experienced. In this paper, we explore five such relations that take different aspects into account and investigate their impact on test suite reduction, their effectiveness in fault detection, and computation time. We report corresponding results, and show as well as prove that the equivalence relations build a taxonomy.

Original languageEnglish
Title of host publicationTesting Software and Systems - 29th IFIP WG 6.1 International Conference, ICTSS 2017, Proceedings
PublisherSpringer Verlag
Number of pages16
Volume10533 LNCS
ISBN (Print)9783319675480
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

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10533 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference29th IFIP WG 6.1 International Conference on Testing Software and Systems
Country/TerritoryRussian Federation
CitySt. Petersburg


  • Decision tree equivalence
  • Test suite reduction

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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