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Using Artificial Bee Colony Algorithm for Test Data Generation and Path Testing Coverage

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  • Faten Hamad

Abstract

Software testing is a significant stage in software development lifecycle. There are different sorts of' structural software testing methodologies that may be generally utilized and moved forward through enhancing the traverse of all of the conceivable code software paths. The interest for automating data testing is growing; however, manual testing strategies utilization would be expensive and costly. Heuristic measure is being applied to; detect how better the result might be (solution fitness); result development mechanism; and suitableness criteria with stop search mechanism depending on wither a result is found or not. Testing experience could be exploited for finding a solution to the optimization problem by utilizing Meta heuristic procedures. The presented approach might have been tested for five programs to demonstrate the distinctive tests issues. This paper proposes an automatic test data generation approach that use artificial bee colony algorithm for software structural testing, particularly, path testing. This is brought on moving the centralization of data generation testing, as opposed to the automation of the whole testing operation. It executes artificial bee colony algorithm by creating testing data for the criteria of path coverage testing, and then applying the strategy to a group of test programs.Â

Suggested Citation

  • Faten Hamad, 2018. "Using Artificial Bee Colony Algorithm for Test Data Generation and Path Testing Coverage," Modern Applied Science, Canadian Center of Science and Education, vol. 12(7), pages 1-99, July.
    • Handle: RePEc:ibn:masjnl:v:12:y:2018:i:7:p:99
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    References listed on IDEAS

    as
    1. Rizik Al-Sayyed & Hussam N. Fakhouri & Ali Rodan & Colin Pattinson, 2017. "Polar Particle Swarm Algorithm for Solving Cloud Data Migration Optimization Problem," Modern Applied Science, Canadian Center of Science and Education, vol. 11(8), pages 1-98, August.
    2. Faten Hamad & Omar Adwan, 2018. "Policy Based Approach for Information Transfer over Mobile ad hoc Network using Messages Privacy Control," Modern Applied Science, Canadian Center of Science and Education, vol. 12(5), pages 1-22, May.
    3. Adel Al Khattab & Hasan Al-Shalabi & Khamis Al-Khattab & Mahmaod Al-Rawad, 2015. "The effect of trust and risk perception on citizen's intention to adopt and use e-government services in Jordan," Proceedings of International Academic Conferences 1003157, International Institute of Social and Economic Sciences.
    4. Faten Hamad & Abdelsalam Alawamrah, 2018. "Measuring the Performance of Parallel Information Processing in Solving Linear Equation Using Multiprocessor Supercomputer," Modern Applied Science, Canadian Center of Science and Education, vol. 12(3), pages 1-74, March.
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    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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