A Systematic Review of the Application and Empirical Investigation of Search-Based Test-Case Generation
Created by W.Langdon from
gp-bibliography.bib Revision:1.8028
- @Article{Ali:2010:ieeeTSE,
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author = "Shaukat Ali and Lionel C. Briand and Hadi Hemmati and
Rajwinder K. Panesar-Walawege",
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title = "A Systematic Review of the Application and Empirical
Investigation of Search-Based Test-Case Generation",
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journal = "IEEE Transactions on Software Engineering",
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year = "2010",
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volume = "36",
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number = "6",
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pages = "742--762",
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month = nov # "-" # dec,
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keywords = "genetic algorithms, genetic programming, SBSE",
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ISSN = "0098-5589",
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URL = "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5210118&isnumber=4359463",
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DOI = "doi:10.1109/TSE.2009.52",
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size = "22 pages",
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abstract = "Metaheuristic search techniques have been extensively
used to automate the process of generating test cases
and thus providing solutions for a more cost-effective
testing process. This approach to test automation,
often coined as Search-based Software Testing (SBST),
has been used for a wide variety of test case
generation purposes. Since SBST techniques are
heuristic by nature, they must be empirically
investigated in terms of how costly and effective they
are at reaching their test objectives and whether they
scale up to realistic development artifacts. However,
approaches to empirically study SBST techniques have
shown wide variation in the literature. This paper
presents the results of a systematic, comprehensive
review that aims at characterising how empirical
studies have been designed to investigate SBST
cost-effectiveness and what empirical evidence is
available in the literature regarding SBST
cost-effectiveness and scalability. We also provide a
framework that drives the data collection process of
this systematic review and can be the starting point of
guidelines on how SBST techniques can be empirically
assessed. The intent is to aid future researchers doing
empirical studies in SBST by providing an unbiased view
of the body of empirical evidence and by guiding them
in performing well designed empirical studies.",
-
notes = "cites one GP paper:
\cite{Wappler:2007:ASE}.
TSESI-2008-09-0283",
- }
Genetic Programming entries for
Shaukat Ali
Lionel C Briand
Hadi Hemmati
Rajwinder Kaur Panesar-Walawege
Citations