International Journal of Intelligent Systems and Applications(IJISA)
ISSN: 2074-904X (Print), ISSN: 2074-9058 (Online)
Published By: MECS Press
IJISA Vol.9, No.6, Jun. 2017
Model Driven Test Case Optimization of UML Combinational Diagrams Using Hybrid Bee Colony Algorithm
Full Text (PDF, 473KB), PP.43-54
To detect faults or errors for designing the quality software, software testing tool is used. Testing manually is an expensive and time taking process. To overcome this problem automated testing is used. Test case generation is a vital concept used in software testing which can be derived from requirements specification. Automation of test cases is a method where it can generate the test cases and test data automatically by using search based optimization technique. Model-driven testing is an approach that represents the behavioral model and also encodes the system behavior with certain conditions. Generally, the model consists of a set of objects that defined through variables and object relationships. This piece of work is used to generate the automated optimized test cases or test data with the possible test paths from combinational system graph. A hybrid bee colony algorithm is proposed in this paper for generating and optimizing the test cases from combinational UML diagrams.
Cite This Paper
Rajesh Ku. Sahoo, Santosh Kumar Nanda, Durga Prasad Mohapatra, Manas Ranjan Patra,"Model Driven Test Case Optimization of UML Combinational Diagrams Using Hybrid Bee Colony Algorithm", International Journal of Intelligent Systems and Applications(IJISA), Vol.9, No.6, pp.43-54, 2017. DOI: 10.5815/ijisa.2017.06.05
A.A. Kyaw and M.M. Min, "Model -Based automatic optimal test path generation via Search optimization techniques; A critical review, "In Proc. the 12th International conference on computer Applications, 2014.
A.V.K.Shanthil and G.Mohan Kumar "Automated Test cases generation from UML sequence diagram", 2012, International conference on software and computer applications (ICSCA.2012) IPCSIT Vol.41(2012) copyright (2012) IACSIT Press, Singapore.
Abdurazik, A and Offutt, J. 2000 Using UML collaboration diagrams for static checking and test generation, proceedings of 3rd international conference UML, lecture notes in Computer Science,2000, PP,383-395.
D. Dervis Karaboga, An Idea Based On Honey Bee Swarm for Numerical Optimization, Technical Report-TR06, Erciyes University, Engineering Faculty, Computer Engineering Department 2005.
Basturk, B., Karaboga, D.: A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm. In: Proceedings of the IEEE Swarm Intelligence Symposium, pp. 459–471. IEEE, Indianapolis (2006)
J. Kennedy, R. C. Eberhart, “Particle swarm optimization”, IEEE International Conference on Neural Networks, Piscataway, NJ., pp.942-1948, 1995.
Kansomkeat, S, and Rivepiboon, W.2003 Automated generating test case using UML state chart diagrams. In proc SAICSIT 2003, ACM, 2003, pp. 296-300.
Korel, B.1990.Automated software test data generation, IEEE, Trans. Software Engineering, 16(8), 1990, pp.870-879.
Rajesh Kumar Sahoo, Deeptimanta Ojha, Satyabrata Das,”Nature-Inspired Metaheuristic Algorithms-A Comparative Review”, International Journal of Development Research,vol.6, Issue-07,pp.8427-8432,2016, ISSN:2230-9926.
Jones, B.F., Department of Computer studies, Glamorgan University, Ponty pride, U.K, Sthamer, H-H, Eyres, D.E., Automatic structural testing using Genetic algorithms, Software Engineering Journal, Volume 11, Issue-5, September 1996, pp. 299-306.
N. Narmada and D.P.Mohapatra, "Automatic test data generation for data flow testing using particle swarm optimization ", Communications in computer and information Science, Vol.95, No-1, pp. 1-12,2010.
L.T.Bui,et al. "A modified strategy for the construction factor in particle swarm optimization," in book series lecture Notes in computer science Vol 4828/2010, ed.Heidelberg: Springer Berlin, 2010, pp. 333-344.
Dr. Arvinder Kaur and Shivangi goyal, "A Bee Colony optimization Algorithm for fault coverage based regression test suite Prioritization" International Journal of Advanced Science and Technology, Vol.29, April 2011.
Rajesh Kumar Sahoo, Deeptimanta Ojha, Durga Prasad Mohapatra, Manas Ranjan Patra,”Automated Test case Generation and optimization: A Comparative Review”, International Journal of Computer Science & Information Technology, Vol.8, No.5,2016.
Supapornkansomkeat and WanchaiRivepiboon, "Automated-Generating test case using UML state chart Diagrams" Proceedings of SAICSIT 2003.
M.Khandai, A.A. Acharya, D.P. Mohapatra, Test case generation for a concurrent system using UML combinational diagram, International journal of Computer Science and Information Technologies,2011.
Santosh Kumar Swain, Durga Prasad Mohapatra, and Rajib Mall, "Test case generation based on use case and sequence diagram, International journal of software Engineering, IJSE Vol.3 No-2 July 2010.
S. Singla, D.Kumar, H.M. Rai, P.Singla, A hybrid PSO approach to automating Test data generation for data flow coverage with dominance concepts, International journal of advanced science and technology, Vol.37.
Rajesh Kumar Sahoo, Durga Prasad Mohapatra, Manas Ranjan Patra,”A firefly Algorithm Based Approach for Automated Generation and Optimization of Test cases”, International Journal of Computer Sciences and Engineering, vol.4, Issue-8,pp.54-58,ISSN:2347-2693,2016.
S .S. Priya and P.D.Sheba. "Test case Generation from UML models- A Survey, " In Proc. International conference on information systems and computing(IC ISC-2013). India, January 2013, Vol.3, Special issue.1.
Philip Samuel, Rajib Mall and Sandeep Sahoo "UML sequence diagram based testing using slicing", IEEE indiction 2005 conference, Chennai, India,11-13 Dec 2005, pp. 176-178.
Rajesh Kumar Sahoo, Deeptimanta Ojha, Durga Prasad Mohapatra, Manas Ranjan Patra,”Automatic generation and optimization of test data using harmony search algorithm”, ACITY,pp.23-32,2016
S P Tripathy, P M Sahu, D Kandahar. Optimization of Discrete and continuous test suite using Heuristic Algorithm: A Comparative study, IEEE conference on information and communication Technologies (ICT 2013), pp. 841-846 April 2013.
Rajesh Kumar Sahoo, Deeptimanta Ojha, Durga Prasad Mohapatra, Manas Ranjan Patra,”Automatic generation and optimization of course timetable using a hybrid approach”,”Journal of Theoretical and Applied Information Technology, Vol.95, No.1,pp.68-77,2017