Procurement Interaction Minimize Test Arrangement Formation of Software Testing Using Cuckoo Search Methods

  • Authors

    • Dr. Anandam Velagandula
    • P. Buddha Reddy
    • N. Hanuman Reddy
    • G. Srikanth Reddy
    • Ch Anil
    https://doi.org/10.14419/ijet.v7i4.6.21197

    Received date: October 7, 2018

    Accepted date: October 7, 2018

    Published date: September 25, 2018

  • Cuckoo Search, Particle Swarm Optimization, quality assurance, Software metrics
  • Abstract

    As of late number of meta based heuristic algorithms are suggested to fill in as the premise of test era technique (where shows the interaction strength) embracing  with Simulated Annealing (SA), Ant Colony Optimization (ACO), Cuckoo Search (CS), Genetic Algorithms (GA), Harmony Search (HS) and Particle Swarm Optimization (PSO). Albeit helpful methodologies are requiring particular area learning so as to permit successful tuning before great quality arrangements can be gotten. The multi-target molecule swarm optimization, and multithreading is utilized to overwhelm the compound judgement criteria for an ideal arrangement. The procedure and its related algorithms are assessed broadly utilizing diverse benchmarks and examinations. In our proposed technique test cases are advanced by utilizing Particle Swarm Optimization algorithm (PSO). At that point the streamlined test cases are organized by utilizing to enhanced Cuckoo Search algorithm (ECSA). As the quantity of inserted systems increments quickly, there has been developing interest for the utilization of Service Oriented Architecture (SOA) for some requests. At last, the enhanced outcome will be assessed by programming quality measures.

  • References

    1. R. N. Kacker, D. Richard Kuhn, Y. Lei, and J. F. Lawrence, "Com-binatorial testing for software: An adaptation of design of experi-ments," Measurement, vol. 46, pp. 3745-3752, 2013
    2. E. Ashraf, A. Rauf, and K. Mahmood, “Value based Regression Test Case Prioritization”, Proceedings of the World Congress on Engineering and Computer Science, vol.1, 2012.
    3. Prakash N, Rangaswamy T.R, “Weighted Method For Coverage Based Test Case Prioritization”, Journal of Theoretical and Applied Information Technology, vol.56,no.2,pp.235-243,2013.
    4. C.H.P. Kim, D.S. Batory, S. Khurshid, Reducing combinatorics in testing product lines, in: Proceedings of the Tenth International Conference on Aspect-oriented Software Development, in: AOSD ’11, ACM, New York, NY, USA, 2011, pp. 57– 68, doi:10.1145/1960275.1960284.
    5. M. Weiss, Economics of software product development collectives, Technol. Innov. Manag. Rev. 1 (2011) 13–18.
    6. B.S. Ahmed, Test case minimization approach using fault detection and combinatorial optimization techniques for configuration-aware structural testing, Eng. Sci. Technol. Int. J. 19 (2) (2016) 737–753.
    7. W. Afzal, R. Torkar, R. Feldt, A systematic review of search-based testing for non-functional system properties, Inf. Softw. Technol. 51 (6) (2009) 957–976, doi:10.1016/j.infsof.2008.12.005
    8. W. Afzal, R. Torkar, R. Feldt, A systematic review of search-based testing for non-functional system properties, Inf. Softw. Technol. 51 (6) (2009) 957–976, doi:10.1016/j.infsof.2008.12.005.
    9. C. Nie, H. Leung, A survey of combinatorial testing, ACM Comput. Surv. 43 (2) (2011) 11:1–11:29, doi:10.1145/1883612.1883618.
    10. R.M. Dijkman, and S.M. Joosten, “Deriving Use Case Diagrams fro m Business Process Models,” 2002.
    11. L. Gonzalez-Hernandez, New bounds for mixed covering arrays in t-way testing with uniform strength, Inf. Softw. Technol. 59 (C) (2015) 17–32, doi:10. 1016/j.infsof.2014.10.009.
    12. X. Chen, Q. Gu, A. Li, D. Chen, Variable strength interaction test-ing with an ant colony system approach, in: 2009 16th Asia-Pacific Software Engineering Conference, 2009, pp. 160–167, doi:10.1109/APSEC.2009.18.
    13. Y. Lei, K.-C. Tai, In-parameter-order: a test generation strategy for pairwise testing, in: The 3rd IEEE International Symposium on High-Assurance Systems Engineering, in: HASE ’98, IEEE Com-puter Society, Washington, DC, USA, 1998, pp. 254–261.
    14. Bansal, Priyanka. "A critical review on test case prioritization and Optimization using soft computing techniques."In proceeding of IEEE International Conference on Role of Technology in Nation Building, pp.74-77, 2013.
    15. Pravin, A., and S. Srinivasan. "An efficient algorithm for reducing the test cases which is used for performing regression testing." Pro-ceedings of IEEE International Conference on Computational Tech-niques and Artificial Intelligence, pp.194-197, 2013
    16. Amr AbdelFatah Ahmed, Dr. Mohamed Shaheen, and Dr. Essam Kosba, “Software Testing Suite Prioritization Using Multi criteria Fitness Function”, IEEE International Conference on Computer Theory and Applications,pp.160-166, 2012.
    17. Daniel Di Nardo, Nadia Alshahwan, Lionel Briand, AND Yvan Labiche, “Coverage Based Test Case Prioritization: An Industrial Case Study”, In proceeding of IEEE International Conference on Software Testing, Verification and Validation,pp.302- 311,2013.
    18. R.E. Lopez-Herrejon, D.S. Batory, A standard problem for evaluat-ing productline methodologies, in: Proceedings of the Third Interna-tional Conference on Generative and Component-Based Software Engineering, 2014.
    19. W.T. Federer, J.P. Mandeli, Orthogonal f-rectangles, orthogonal arrays, and codes, J. Combin. Theory Series A 43 (2) (1986) 149–164. http://dx.doi.org/10. 1016/0097-3165(86)90057-9.
    20. R.N. Kacker, D.R. Kuhn, Y. Lei, J.F. Lawrence, Combinatorial testing for software: an adaptation of design of experiments, Meas-urement 46 (9) (2013) 3745– 3752
    21. C.J. Colbourn, G. Kéri, P.P. Rivas Soriano, J.C. Schlage-Puchta, Covering and radius-covering arrays: constructions and classifica-tion, Discrete Appl. Math. 158 (11) (2010) 1158–1180, doi:10.1016/j.dam.2010.03.008.
    22. A. Hartman, L. Raskin, Problems and algorithms for covering arrays, Discrete Math. 284 (1–3) (2004) 149–156, doi:10.1016/j.disc.2003.11.029.
    23. Hye-Min Noh, Ji-Hyun Lee, Cheol Jung Yoo, and Ok-Bae Chang. “Behavior Modeling Technique Based on EFSM for Interoperabil-ity Testing,”ICCSA 2005, LNCS 3482. pp. 878- 885, 2005.
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  • How to Cite

    Anandam Velagandula, D., Buddha Reddy, P., Hanuman Reddy, N., Srikanth Reddy, G., & Anil, C. (2018). Procurement Interaction Minimize Test Arrangement Formation of Software Testing Using Cuckoo Search Methods. International Journal of Engineering and Technology, 7(4.6), 302-305. https://doi.org/10.14419/ijet.v7i4.6.21197