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Production Monitoring to Improve Test Suites

Tiwari, Deepika (author)
KTH,Teoretisk datalogi, TCS
Zhang, Long (author)
KTH,Teoretisk datalogi, TCS
Monperrus, Martin (author)
KTH,Teoretisk datalogi, TCS
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Baudry, Benoit (author)
KTH,Programvaruteknik och datorsystem, SCS
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 (creator_code:org_t)
Institute of Electrical and Electronics Engineers (IEEE), 2021
2021
English.
In: IEEE Transactions on Reliability. - : Institute of Electrical and Electronics Engineers (IEEE). - 0018-9529 .- 1558-1721. ; , s. 1-17
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • In this article, we propose to use production executions to improve the quality of testing for certain methods of interest for developers. These methods can be methods that are not covered by the existing test suite or methods that are poorly tested. We devise an approach called pankti which monitors applications as they execute in production and then automatically generates differential unit tests, as well as derived oracles, from the collected data. pankti’s monitoring and generation focuses on one single programming language, Java. We evaluate it on three real-world, open-source projects: a videoconferencing system, a PDF manipulation library, and an e-commerce application. We show that pankti is able to generate differential unit tests by monitoring target methods in production and that the generated tests improve the quality of the test suite of the application under consideration.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Programvaruteknik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Software Engineering (hsv//eng)

Keyword

Production monitoring
test generation
test improvement
test oracle
test quality

Publication and Content Type

ref (subject category)
art (subject category)

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