Abstract
In this paper, we have attempted to present the procedural implementation and validation of the three-level testing framework of “AVISAR” for effectual and exhaustive testing of the object-oriented softwares for providing an the effective and collective set of test cases that will be used to make ensure maximum accuracy without including any kind of redundancy for a object-oriented software which is being putted under test with ensuring the maximum code coverage.
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References
K.K. Aggarwal, Y. Singh, Software Engineering, 2nd ed. (New Age International (P) Ltd, India, 2006)
I. Jacobson, M. Christerson, in Object Oriented Software Engineering—A Use Case Driven Approach (Person Education, Upper Saddle River, NJ, 2009)
A. Gossain et al., AVISAR—a three tier architectural framework for the testing of object oriented programs, in IEEE Second International Innovative Applications of Computational Intelligence on Power, Energy and Controls with their Impact on Humanity (CIPECH) (2016)
R.K. Doong, P.G. Frankl, The ASTOOT approach to testing object oriented programs. ACM Trans. Softw. Eng. Methodol. 3, 101–130 (1994)
S. Savage, M. Burrows, G. Nelson, P. Sobalvarro, T. Anderson, Eraser a dynamic data race detector for multithreaded programs. ACM Trans Comput. Syst. 15 (1997)
B. Lionel, L. Yvan, A UML-based approach to system testing, in Proceedings of Carleton University TR SCE-01-01-Version 4 (2002)
C. Ilinca, L. Andreas, O. Manuel, M. Bertrand, ARTOO: Adaptive Random Testing for Object-oriented Software, in ICSE’08, Leipzig, Germany, 10–18 May 2008
K. Inkumsah, T. Xie, Evacon a framework for integrating evolutionary and concolic testing for object-oriented programs, in ASE’07—2007 ACM/IEEE International Conference on Automated Software Engineering (2007), pp. 425–428
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Vats, P., Mandot, M. (2021). A Comprehensive Analysis for Validation of AVISAR Object-Oriented Testing Tool. In: Joshi, A., Khosravy, M., Gupta, N. (eds) Machine Learning for Predictive Analysis. Lecture Notes in Networks and Systems, vol 141. Springer, Singapore. https://doi.org/10.1007/978-981-15-7106-0_60
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DOI: https://doi.org/10.1007/978-981-15-7106-0_60
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