Prediction of faults-slip-through in large software projects: an empirical evaluation
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @Article{Afzal:2013:SQJ,
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author = "Wasif Afzal and Richard Torkar and Robert Feldt and
Tony Gorschek",
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title = "Prediction of faults-slip-through in large software
projects: an empirical evaluation",
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journal = "Software Quality Journal",
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year = "2014",
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volume = "22",
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number = "1",
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pages = "51--86",
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month = mar,
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publisher = "Springer US",
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keywords = "genetic algorithms, genetic programming, SBSE,
Prediction, Empirical, Faults-slip-through,
Search-based",
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ISSN = "0963-9314",
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DOI = "doi:10.1007/s11219-013-9205-3",
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language = "English",
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oai = "oai:bth.se:forskinfo3D40224F7CBF862DC1257B7800251E66",
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URL = "http://www.bth.se/fou/forskinfo.nsf/all/3d40224f7cbf862dc1257b7800251e66?OpenDocument",
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size = "36 pages",
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abstract = "A large percentage of the cost of rework can be
avoided by finding more faults earlier in a software
test process. Therefore, determination of which
software test phases to focus improvement work on has
considerable industrial interest. We evaluate a number
of prediction techniques for predicting the number of
faults slipping through to unit, function, integration,
and system test phases of a large industrial project.
The objective is to quantify improvement potential in
different test phases by striving toward finding the
faults in the right phase. The results show that a
range of techniques are found to be useful in
predicting the number of faults slipping through to the
four test phases; however, the group of search-based
techniques (genetic programming, gene expression
programming, artificial immune recognition system, and
particle swarm optimisation (PSO) based artificial
neural network) consistently give better predictions,
having a representation at all of the test phases.
Human predictions are consistently better at two of the
four test phases. We conclude that the human
predictions regarding the number of faults slipping
through to various test phases can be well supported by
the use of search-based techniques. A combination of
human and an automated search mechanism (such as any of
the search-based techniques) has the potential to
provide improved prediction results.",
- }
Genetic Programming entries for
Wasif Afzal
Richard Torkar
Robert Feldt
Tony Gorschek
Citations