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Code Defenders

Autor(en):
Rojas, José Miguel [DBLP] ;
White, Thomas D. [DBLP] ;
Clegg, Benjamin S. [DBLP] ;
Fraser, Gordon [DBLP]
Zusammenfassung
This paper was presented at the 39th International Conference on Software Engineering (ICSE 2017), where it received an ACM SIGSOFT Distinguished Paper Award: Writing good software tests is difficult and not every developer's favorite occupation. Mutation testing aims to help by seeding artificial faults (mutants) that good tests should identify, and test generation tools help by providing automatically generated tests. However, mutation tools tend to produce huge numbers of mutants, many of which are trivial, redundant, or semantically equivalent to the original program; automated test generation tools tend to produce tests that achieve good code coverage, but are otherwise weak and have no clear purpose. In this paper, we present an approach based on gamification and crowdsourcing to produce better software tests and mutants: The Code Defenders web-based game lets teams of players compete over a program, where attackers try to create subtle mutants, which the defenders try to counter by writing strong tests. Experiments in controlled and crowdsourced scenarios reveal that writing tests as part of the game is more enjoyable, and that playing Code Defenders results in stronger test suites and mutants than those produced by automated tools.
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Rojas, J. M., White, T. D., Clegg, B. S. & Fraser, G., (2018). Code Defenders. In: Tichy, M., Bodden, E., Kuhrmann, M., Wagner, S. & Steghöfer, J.-P. (Hrsg.), Software Engineering und Software Management 2018. Bonn: Gesellschaft für Informatik. (S. 77-78).
@inproceedings{mci/Rojas2018,
author = {Rojas, José Miguel AND White, Thomas D. AND Clegg, Benjamin S. AND Fraser, Gordon},
title = {Code Defenders},
booktitle = {Software Engineering und Software Management 2018},
year = {2018},
editor = {Tichy, Matthias AND Bodden, Eric AND Kuhrmann, Marco AND Wagner, Stefan AND Steghöfer, Jan-Philipp} ,
pages = { 77-78 },
publisher = {Gesellschaft für Informatik},
address = {Bonn}
}
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Mehr Information

ISBN: 978-3-88579-673-2
ISSN: 1617-5468
Datum: 2018
Sprache: en (en)
Typ: Text/Conference Paper

Keywords

  • gamification
  • crowdsourcing
  • mutation testing
Sammlungen
  • P279 - Software Engineering und Software Management 2018 [65]

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Über uns | FAQ | Hilfe | Impressum | Datenschutz

Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.