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Software Coverage Analysis: Black Box Approach Using ANT System

Software Coverage Analysis: Black Box Approach Using ANT System

Praveen Ranjan Srivastava, Saurav Singh Naruka, Afaque Alam, Nikhil Agarwal, Vaibhav Mukeshkumar Shah
Copyright: © 2012 |Volume: 3 |Issue: 3 |Pages: 16
ISSN: 1942-3594|EISSN: 1942-3608|EISBN13: 9781466610736|DOI: 10.4018/jaec.2012070104
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MLA

Srivastava, Praveen Ranjan, et al. "Software Coverage Analysis: Black Box Approach Using ANT System." IJAEC vol.3, no.3 2012: pp.62-77. http://doi.org/10.4018/jaec.2012070104

APA

Srivastava, P. R., Naruka, S. S., Alam, A., Agarwal, N., & Shah, V. M. (2012). Software Coverage Analysis: Black Box Approach Using ANT System. International Journal of Applied Evolutionary Computation (IJAEC), 3(3), 62-77. http://doi.org/10.4018/jaec.2012070104

Chicago

Srivastava, Praveen Ranjan, et al. "Software Coverage Analysis: Black Box Approach Using ANT System," International Journal of Applied Evolutionary Computation (IJAEC) 3, no.3: 62-77. http://doi.org/10.4018/jaec.2012070104

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Abstract

Requirements of the desired software product can be translated into state transition diagram or other UML diagrams. To verify the complete coverage of software requirements, the proposed Ant based approach generates non-repetitive transitions from the input state diagram. This approach has less redundant transitions and also gives uncovered transition in successive paths instead of giving whole redundant path again and again. The paper also contains a comparison between already existing approaches with respect to some parameters like coverage, redundancy, total number of transitions.

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