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Patterns for cleaning up bug data

 
: Souza, R.; Chavez, C.; Bittencourt, R.

:

Bird, C.:
1st International Workshop on Data Analysis Patterns in Software Engineering, DAPSE 2013 : San Francisco, California, USA, 21 May 2013
Piscataway, NJ: IEEE, 2013
ISBN: 978-1-4673-6295-5 (print)
ISBN: 978-1-4673-6296-2 (online)
S.26-28
International Workshop on Data Analysis Patterns in Software Engineering (DAPSE) <1, 2013, San Francisco/Calif.>
Englisch
Konferenzbeitrag
Fraunhofer IESE ()

Abstract
Bug reports provide insight about the quality of an evolving software and about its development process. Such data, however, is often incomplete and inaccurate, and thus should be cleaned before analysis. In this paper, we present patterns that help both novice and experienced data scientists to discard invalid bug data that could lead to wrong conclusions.

: http://publica.fraunhofer.de/dokumente/N-300997.html