A parallel implementation strategy of Adaptive Testing1

Hai Hu, Chang Hai Jiang, Feng Ye, Kai Yuan Cai, Dazhi Huang, Sik-Sang Yau

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

5 Scopus citations

Abstract

Software testing is an important part of software development and can account for more than 50% of the development cost. In order to shorten the testing time and reduce cost, parallel mechanism is introduced to handle multiple testing tasks on the same or different software under tests (SUTs) simultaneously. On the other hand, advanced testing techniques, such as Adaptive Testing (AT) have been proposed to improve the efficiency of traditional random/partition testing. Inspired by the parallel computing technique, we present a parallel implementation of the Adaptive Testing techniques, namely the AT-P strategy. Experiments on the Space program are conducted and data indicates that the AT-P strategy can notably improve the defect detection efficiency of the original adaptive testing technique, whereas providing stable performance enhancement over multiple testing runs.

Original languageEnglish (US)
Title of host publicationProceedings - 34th Annual IEEE International Computer Software and Applications Conference Workshops, COMPSACW 2010
Pages214-219
Number of pages6
DOIs
StatePublished - Dec 13 2010
Event34th Annual IEEE International Computer Software and Applications Conference Workshops, COMPSACW 2010 - Seoul, Korea, Republic of
Duration: Jul 19 2010Jul 23 2010

Publication series

NameProceedings - International Computer Software and Applications Conference
ISSN (Print)0730-3157

Other

Other34th Annual IEEE International Computer Software and Applications Conference Workshops, COMPSACW 2010
Country/TerritoryKorea, Republic of
CitySeoul
Period7/19/107/23/10

Keywords

  • Adaptive Testing
  • Parallel testing
  • Software cybernetics
  • Software testing

ASJC Scopus subject areas

  • Software
  • Computer Science Applications

Fingerprint

Dive into the research topics of 'A parallel implementation strategy of Adaptive Testing1'. Together they form a unique fingerprint.

Cite this