Achievements, Open Problems and Challenges for Search Based Software Testing
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @InProceedings{Harman:2015:ICST,
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author = "Mark Harman and Yue Jia and Yuanyuan Zhang",
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title = "Achievements, Open Problems and Challenges for Search
Based Software Testing",
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booktitle = "8th IEEE International Conference on Software Testing,
Verification and Validation, ICST 2015",
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year = "2015",
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editor = "Gordon Fraser and Darko Marinov",
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pages = "1--12",
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address = "Graz, Austria",
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month = apr # " 14-16",
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publisher = "IEEE",
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note = "Keynote",
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keywords = "genetic algorithms, genetic programming, SBSE, genetic
Improvement, FiFiVerify",
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URL = "http://www0.cs.ucl.ac.uk/staff/m.harman/icst15.pdf",
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DOI = "doi:10.1109/ICST.2015.7102580",
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size = "12 pages",
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abstract = "Search Based Software Testing (SBST) formulates
testing as an optimisation problem, which can be
attacked using computational search techniques from the
field of Search Based Software Engineering (SBSE). We
present an analysis of the SBST research agenda,
focusing on the open problems and challenges of testing
non-functional properties, in particular a topic we
call 'Search Based Energy Testing' (SBET),
Multi-objective SBST and SBST for Test Strategy
Identification. We conclude with a vision of FIFIVERIFY
tools, which would automatically find faults, fix them
and verify the fixes. We explain why we think such
FIFIVERIFY tools constitute an exciting challenge for
the SBSE community that already could be within its
reach.",
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notes = "Slides
http://icst2015.ist.tu-graz.ac.at/icst2015_harman_s.pdf
'Genetic Programming for SBSTI:' 'Fault localisation
... and ... genetic improvement'
Also known as \cite{7102580}",
- }
Genetic Programming entries for
Mark Harman
Yue Jia
Yuanyuan Zhang
Citations