Abstract
The paper is devoted to functional and structural testing of programs. Experimental results of a set of programs are presented. The experiments cover selection of functional tests, analysis of function and line coverage and optimization of test suites. The comparison of code coverage results and selection of the most effective tests are discussed in the relation to the test-first approach for program development. The types of the code not covered by the tests are classified for different categories.
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References
B.Beizer, Software testing techniques, second ed. Van Nostrand Reinhold, 1990.
S. Elbaum, D. Gable, G. Rothermel, “The impact of software evolution on code coverage information”, Proc. of IEEE Intern. Conf. on Softare. Maintenance, 7-9 Nov. 2001, pp. 170-179.
J. J. Li, D. Weiss, H. Yee, “Code coverage guided prioritized test generation”, Information and Software Technology, no. 48, 2006, pp. 1187-1198.
W. Masri, A. Podgurski, D. Leon, “ An empirical study of test case filtering techniques based on exercising information flows”, IEEE Transaction on Software Engineering, vol. 33, no. 7, July 2007, pp. 454-477.
D. Jeffrey, N. Gupta, “Improving fault detection capability by selecting retaining test cases during test suite reduction”, IEEE Transaction on Software Engineering, vol. 33, no. 2, Feb. 2007, pp. 108-123.
J. H. Andrews, L. C. Briand, Y. Labiche, A. S. Namin, “Using mutation analysis for assessing and comparing testing coverage criteria”, IEEE Transaction on Software Engineering, vol. 32, no. 8, Aug. 2006, pp. 608-624.
F. Del Frate, P. Garg, A. P. Mathur, A. Pasquini, “On the correlation between code coverage and software reliability”, Proc. of 6th Intern. Symp. on Software Reliability. Engin., 24-27 Oct., 1995, pp. 124-132.
L. C. Braind, D. Pfahl, “Using simulation for assessing the real impact of test-coverage on defect-coverage”, IEEE Transactions on Reliability, vol. 49, no. 1, March. 2000, pp. 60-70.
S. S. Gokhale, R. E. Mullen, “From test count to code coverage using the lognormal failure rate”, Proc. of 15th Intern. Symposium on Software Reliability Engineering, ISSRE"04, 2004.
IBM Rational tools: http://www-306.ibm.com/software/rational/
M.R. Garey, D.S. Johnson, Computers and Intractability: aguide to the theory of NP-compleyeness, Freeman and Company, 1979.
K. Beck, Extreme programming explained, Sec. Edition Embrace Change, Addison-Wesley, Boston, MA, USA, 2004.
D. Astels, Test-Driven Development: A practical Guide, Prentice Hall, NJ, USA, 2003.
H. Erdogmus, M. Morisio, M. Torchiano, “On the effectiveness of the test-first approach to programming”, IEEE Transactions on Software Engineering, vol. 31, no. 3, March 2005, pp. 226-237.
M. Siniaalto, P. Abrahamsson, “Does test-driven development improve the program code? Alarming results from a comparative case study”, Proc. of 2 nd IFIP Central and East European Conference on Software Engineering Techniques, CEE-SET, Poznań, 2007, pp. 125-136.
M. Hóst., B. Regnell, C. Wohlin, “Using students as subjects - A comparative study of students and professionals in lead-time impact assessment”, Empirical Software Eng., vol. 5, 2000, pp.201-214.
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Derezińska, A. (2008). Experiences from an Empirical Study of Programs Code Coverage. In: Sobh, T. (eds) Advances in Computer and Information Sciences and Engineering. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-8741-7_11
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DOI: https://doi.org/10.1007/978-1-4020-8741-7_11
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