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Abstract: We report on GADGET, a new software test generation system that uses combinatorial optimization to obtain condition/decision coverage of C/C++ programs. The GADGET system is fully automatic and supports all C/C++ language constructs. This allows us to generate tests for programs more complex than those previously reported in the literature. We address a number of issues that are encountered when automatically generating tests for complex software systems. These issues have not been discussed ... (Update)
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.... are among others alternating variable, simulated annealing, genetic algorithms, iterative relaxation and di#erent heuristics [5, 14, 10, 7, 3]. 4.7. Oracle One way to drastically reduce the e#ort of testing is to have an oracle that would check if the test case failed or...
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BibTeX entry: (Update)
C. Michael and G. McGraw. Automated software test data generation for complex programs. In 13th IEEE International Conferance on Automated Software Engineering, pages 136--146, October 1998. http://citeseer.ist.psu.edu/michael98automated.html More
@inproceedings{ michael98automated,
author = "Christoph C. Michael and Gary McGraw",
title = "Automated Software Test Data Generation for Complex Programs",
booktitle = "Automated Software Engineering",
pages = "136-146",
year = "1998",
url = "citeseer.ist.psu.edu/michael98automated.html" }
Citations (may not include all citations):1527 Optimization by simulated annealing - Kirkpatrick, Gellat et al. - 1983
63 Automated software test data generation (context) - Korel - 1990
44 An evaluation of random testing (context) - Duran, Natfos - 1984
33 Achieving software quality with testing coverage measures (context) - Horgan, London et al. - 1994
18 Generating software test data by evolution - McGraw, Michael et al. - 1997
17 Adtest: A test data generation suite for ada software system.. (context) - Gallagher, Narasimhan - 1997
13 Automated test data generation for programs with procedures (context) - Korel - 1996
13 Applicability of modified condition/decision coverage to sof.. (context) - Chilenski, Miller - 1994
12 the usage of differential evolution for function optimizatio.. (context) - Storn - 1996
9 Automatic generation of floating point test data (context) - Miller, Spooner - 1976
5 A performance evaluation of heuristics-based test case gener.. (context) - Chang, Cross et al. - 1996
4 Automatic test generation using checkpoint encoding and anti.. - Yin, Lebne-Dengel et al. - 1997
1 Genetic algorithms for test data generation (context) - Michael, McGraw et al. - 1997
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