Open Access
MATEC Web Conf.
Volume 140, 2017
2017 International Conference on Emerging Electronic Solutions for IoT (ICEESI 2017)
Article Number 01016
Number of page(s) 6
Published online 11 December 2017
  1. R. C. Bryce, Y. Lei, D. R. Kuhn, and R. N. Kacker, “Combinatorial Testing,” Handb. Res. Softw. Eng. Product. Technol. Implic. Glob.,196–208 (2010). [CrossRef] [Google Scholar]
  2. M. I. Younis, K. Z. Zamli, and R. R. Othman, “Effectiveness of the Cumulative vs . Normal Mode of Operation for Combinatorial Testing,” in IEEE Symposium on Industrial Electronics and Applications (ISIEA 2010), 350–354 (2010). [CrossRef] [Google Scholar]
  3. R. Kuhn, R. Kacker, Y. Lei, and J. Hunter, “Combinatorial Software Testing,” Computers, 42, 8, 94–96, (2009). [CrossRef] [Google Scholar]
  4. C. Nie and H. Leung, “A survey of combinatorial testing,” ACM Comput. Surv., 43, 2, 1–29 (2011). [CrossRef] [Google Scholar]
  5. X. Chen, Q. Gu, A. Li, and D. Chen, “Variable strength interaction testing with an ant colony system approach,” in Asia-Pacific Softw. Eng. Conf. APSEC, 160–167 (2009). [Google Scholar]
  6. M. Rahman, R. R. Othman, R. B. Ahmad, and M. Rahman, “Event Driven Input Sequence T-way Test Strategy Using Simulated Annealing,” in Fifth Int. Conf. on Intelligent Systems, Modelling and Simulation, 663–667 (2014). [Google Scholar]
  7. D. M. Cohen, S. R. Dalal, M. L. Fredman, and G. C. Patton, “The AETG system: an approach to testing based on combinatorial design,” IEEE Trans. Softw. Eng., 23,7, 437–444 (1997). [CrossRef] [Google Scholar]
  8. Y. Lei, R. Kacker, D. R. Kuhn, V. Okun, and J. Lawrence, “IPOG: A general strategy for T-way software testing,” in Proceedings of the Int. Symp and Workshop on Eng. of Comp. Based Systems, 549–556 (2007). [Google Scholar]
  9. L. Y. Xiang, A. A. Alsewari, and K. Z. Zamli, “Pairwise Test Suite Generator Tool Based On Harmony Search Algorithm (HS-PTSGT),” NNGT Int. J. Artif. Intell.,2, 62–65 (2015). [Google Scholar]
  10. H. Wu, C. Nie, F. Kuo, H. Leung, and C. J. Colbourn, “A Discrete Particle Swarm Optimization for Covering Array Generation,” IEEE Trans. Evol. Comput.,19,4,575–591, (2015). [CrossRef] [Google Scholar]
  11. J. Torres-jimenez, C. V. Tamps, and C. V. Tamps, “Survey of Covering Arrays,” in 15th Int. Symp. on Symbolic and Numeric Algorithms for Scientific Computing, 20–27 (2013). [Google Scholar]
  12. M. Rahman, R. R. Othman, R. B. Ahmad, and M. Rahman, “A Meta Heuristic Search based T-way Event Driven Input Sequence Test Case Generator,” Int. J. Simul. Syst. Sci. Technol., 15, 3, 65–71(2014). [Google Scholar]
  13. R. Kuhn, Y. Lei, and R. Kacker, “Practical Combinatorial Testing : Beyond Pairwise,” IEEE IT Professional,10, 3,19–23 (2008). [CrossRef] [Google Scholar]
  14. A. R. A. Alsewari and K. Z. Zamli, “Design and implementation of a harmony-search-based variable-strength t-way testing strategy with constraints support,” Inf. Softw. Technol., 54, 6, 553–568 (2012). [CrossRef] [Google Scholar]
  15. M. B. Cohen, P. B. Gibbons, W. B. Mugridge, C. J. Colbourn, and J. S. Collofello, “A variable strength interaction testing of components,” in 27th Annual Int. Comp. Software and Applications Conf. (2003). [Google Scholar]
  16. P. J. Schroeder and B. Korel, “Black-box test reduction using input-output analysis,” ACM SIGSOFT Softw. Eng. Notes, 25, 5,173–177, (2000). [CrossRef] [Google Scholar]
  17. R. R. Othman and K. Z. Zamli, “ITTDG : Integrated T-way test data generation strategy for interaction testing,” Sci. Res. Essays, 6,17, 3638–3648 (2011). [CrossRef] [Google Scholar]
  18. R. Othman and K. Zamli, “T-Way Strategies and Its Applications for Combinatorial Testing,” Int. J. New Comput. Archit. Their Appl., 1,2,459–473 (2011). [Google Scholar]
  19. X. Chen, Q. Gu, J. Qi, and D. Chen, “Applying particle swarm optimization to pairwise testing,” in IEEE 34th Annual Computer Software and Applications Conference, 107–116 (2010). [CrossRef] [Google Scholar]
  20. B. S. Ahmed and K. Z. Zamli, “PSTG : A T-Way Strategy Adopting Particle Swarm Optimization,” in 2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation, 1–5 (2010). [Google Scholar]
  21. B. S. Ahmed and K. Z. Zamli, “A variable strength interaction test suites generation strategy using Particle Swarm Optimization,” J. Syst. Softw., vol. 84, pp. 2171–2185, 2011. [CrossRef] [Google Scholar]
  22. K. Rabbi, Q. Mamun, and R. Islam, “An Efficient Particle Swarm Intelligence Based Strategy to Generate Optimum Test Data in T-way Testing,” in IEEE 10th Conf. on Industrial Electronics and App. (ICIEA), 123–128 (2015). [Google Scholar]
  23. K. Z. Zamli, M. F. J. Klaib, M. I. Younis, N. Ashidi, M. Isa, and R. Abdullah, “Design and implementation of a t-way test data generation strategy with automated execution tool support,” Inf. Sci. (Ny)., 181,9, 1741–1758 (2011). [CrossRef] [Google Scholar]
  24. H. Y. Ong and K. Z. Zamli, “Development of interaction test suite generation strategy with input-output mapping supports,” Sci. Res. Essays, 6,16, 3418–3430 (2011). [CrossRef] [Google Scholar]
  25. Z. Wang and H. He, “Generating Variable Strength Covering Array for Combinatorial Software Testing with Greedy Strategy,” J. Softw.,8, 12, 3173–3181 (2013). [Google Scholar]
  26. R. R. Othman, N. Khamis, and K. Z. Zamli, “Variable Strength t-way Test Suite Generator with Constraints Support,” Malaysian J. Comput. Sci.,27, 3, 204–217 (2014). [Google Scholar]
  27. J. Lin, C. Luo, S. Cai, K. Su, D. Hao, and L. Zhang, “TCA : An Efficient Two-Mode Meta-Heuristic Algorithm for Combinatorial Test Generation,” in 30th IEEE/ACM International Conference on Automated Software Engineering 494–505 (2015). [Google Scholar]
  28. B. S. Ahmed, T. S. Abdulsamad, and M. Y. Potrus, “Achievement of minimized combinatorial test suite for configuration-aware software functional testing using the Cuckoo Search algorithm,” Inf. Softw. Technol., 66,13–29 (2015). [CrossRef] [Google Scholar]
  29. X. S. Yang and S. Deb, “Cuckoo search via Levy flights,” in World Congress on Nature and Biologically Inspired Computing,210–214 (2009). [Google Scholar]
  30. A. B. Nasser, Y. A. Sariera, A. A. Alsewari, and K. Z. Zamli, “Assessing Optimization Based Strategies for t-way Test Suite Generation : The Case for Flower-based Strategy,” in IEEE Int. Conf. on Control System, Computing and Eng, 150–155 (2015). [Google Scholar]
  31. K. Z. Zamli, B. Y. Alkazemi, and G. Kendall, “A Tabu Search hyper-heuristic strategy for t-way test suite generation,” Appl. Soft Comput. J.,44, 57–74 (2016). [CrossRef] [Google Scholar]
  32. M. Shaiful, A. Rashid, R. R. Othman, Z. R. Yahya, M. Zamri, and Z. Ahmad, “Implementation of Artificial Bee Colony Algorithm for T-way Testing,” in 3rd Int. Conf. on Electronic Design (ICED), 591–594 (2016). [Google Scholar]
  33. N. Ramli, R. R. Othman, M. Shaiful, and A. Rashid, “Optimizing Combinatorial Input-Output Based Relations Testing using Ant Colony Algorithm,” in 3rd Int. Conf. on Electronic Design (ICED), 586–590 (2016) [Google Scholar]
  34. T. Shiba, T. Tsuchiya, and T. Kikuno, “Using artificial life techniques to generate test cases for combinatorial testing,” in Proceedings of the 28th Annual Int. Comp. Soft. and App. Conf, (2004). [Google Scholar]
  35. K. Z. Zamli, F. Din, S. Baharom, and B. S. Ahmed, “Engineering Applications of Arti fi cial Intelligence Fuzzy adaptive teaching learning-based optimization strategy for the problem of generating mixed strength t-way test suites,” Eng. Appl. Artif. Intell., 59, 35–50 (2017). [CrossRef] [Google Scholar]
  36. M. Harman, Y. Jia, J. Krinke, W. B. Langdon, J. Petke, and Y. Zhang, “Search based software engineering for software product line engineering : a survey and directions for future work,” in 15th Soft. Product Line Conference, 5–18 (2014) [Google Scholar]

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