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Classification of Randomly Generated Test Cases
2016 (English)In: Proc. 1st Int. Workshop on Validating Software Tests (VST 2016), IEEE conference proceedings, 2016Conference paper, Published paper (Refereed)
Abstract [en]

Random test case generation produces relatively diverse test sequences, but the validity of the test verdict is always uncertain. Because tests are generated without taking the specification and documentation into account, many tests are invalid. To understand the prevalent types of successful and invalid tests, we present a classification of 56 issues that were derived from 208 failed, randomly generated test cases. While the existing workflow successfully eliminated more than half of the tests as irrelevant, half of the remaining failed tests are false positives. We show that the new @NonNull annotation of Java 8 has the potential to eliminate most of the false positives, highlighting the importance of machine-readable documentation.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2016.
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:kth:diva-199097DOI: 10.1109/SANER.2016.32OAI: oai:DiVA.org:kth-199097DiVA, id: diva2:1060493
Conference
1st Int. Workshop on Validating Software Tests (VST 2016)
Note

QC 20170109

Available from: 2016-12-28 Created: 2016-12-28 Last updated: 2018-01-13Bibliographically approved

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fulltext(157 kB)32 downloads
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Artho, Cyrille
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf