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Whale Optimization Algorithm Strategies for Higher Interaction Strength T-Way Testing

Ali Abdullah Hassan, Salwani Abdullah, Kamal Z. Zamli, Rozilawati Razali
2022 Computers Materials & Continua  
Numerous existing metaheuristic-based solutions aim to assist the test suite generation for combinatorial testing, also known as t-way testing (where t indicates the interaction strength), viewed as an  ...  Our experiments show that the third strategy gives the best performance and is comparable to existing state-of-thearts based strategies.  ...  Acknowledgement: The authors are grateful to the Ministry of Education, Malaysia, and the Universiti Kebangsaan Malaysia for their support.  ... 
doi:10.32604/cmc.2022.026310 fatcat:g4magdw2angylbt4c7vd6faxp4

A Critical Review on Automated Test Case Generation for Conducting Combinatorial Testing Using Particle Swarm Optimization

Dr V. Chandra Prakash, Subhash Tatale, Vrushali Kondhalkar, Laxmi Bewoor
2018 International Journal of Engineering & Technology  
A test manager can write a set of test cases manually for the smaller software systems.  ...  This paper provides a critical review of use of PSO and its variants for solving the classical optimization problem of automatic test case generation for conducting combinatorial testing.  ...  Proposed PSTG strategy performed better than other strategies for generated test suite size and gave an optimal test suite size in most of the experiments [6] .  ... 
doi:10.14419/ijet.v7i3.8.15212 fatcat:kvs3jfaa35ec5axfhcqjxx7hf4

Test case minimization approach using fault detection and combinatorial optimization techniques for configuration-aware structural testing

Bestoun S. Ahmed
2016 Engineering Science and Technology, an International Journal  
Second, for further optimization, the generated test suite is filtered based on an adaptive mechanism by using a mutation testing technique.  ...  This paper presents a technique to minimize the number of test cases in configuration-aware structural testing.  ...  Acknowledgments The author would like to thank "Dr. Mouayad A. Sahib" for his time and advice during the writing of the paper.  ... 
doi:10.1016/j.jestch.2015.11.006 fatcat:lsabgsyjvzbs5d3ehu4fb5qxdu

Enhanced Performance of Adaptive Random Partitioning Testing by Unifying the ARPT-1 and ARPT-2 Strategies

2020 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
Another class of testing strategies is partition testing is one of the standard software program checking out strategies, which involves dividing the enter domain up into a set number of disjoint partitions  ...  Random testing (RT) is a major software testing strategy and their effortlessness makes them conceivable as the most efficient testing strategies concerning the time required for experiment determination  ...  OIARPT-2-SVM testing strategy uses AT for a specific number of best test cases and RPT is utilized for outstanding test cases.  ... 
doi:10.35940/ijitee.b7399.029420 fatcat:bzzvuxyyznaelou2ddgibuwiga

Review of Combinatorial Testing Strategy

Altmemi J M, Iraq University College, Basra, Iraq
2019 International Journal of Advanced Trends in Computer Science and Engineering  
Combinatorial testing (CT) is an essential technique that usually aims for the generation of test cases. The generation of an optimally sized test case is a Non-deterministic Polynomial (NP) problem.  ...  For them, the one-test-per-time OTAT strategy was the most promising area for Combinatorial t-way analysis. A small variation was seen in the type of interaction support.  ...  two kinds first a deterministic set of combination strategies that participate in a property that creates the same test suite for each execution.  ... 
doi:10.30534/ijatcse/2019/31862019 fatcat:lioixh5f75gaxgpscsytuip4ze

A Pairwise T-Way Test Suite Generation Strategy Using Gravitational Search Algorithm [article]

Khin Maung Htay, Rozmie Razif Othman, Amiza Amir, Hasneeza Liza Zakaria, Nuraminah Ramli
2021 arXiv   pre-print
PGSAS utilizes Gravitational Search Algorithm (GSA) for generating optimal pairwise test suites. The performance of PGSAS is benchmarked against existing t-way strategies in terms of test suite size.  ...  Pairwise t-way testing is a sampling strategy that focuses on testing every pair of parameter combination, effectively reducing the generated test size as opposed to testing exhaustively.  ...  ABC is evolved to solve non-linear optimization problems. Pairwise ABC (PABC) [9] strategy adapts ABC for test suite optimization.  ... 
arXiv:2107.14096v1 fatcat:unwkcxrg3rdmfpa7ccuuc3akim

Preference-Inspired Coevolutionary Algorithm Based on Differentiated Resource Allocation Strategy

Qicang Qiu, Wei Yu, Liping Wang, Hong Chen, Xiaotian Pan
2020 IEEE Access  
Second, it divides the objective space into several subspaces and designs a space distance operator to evaluate their optimization difficulty.  ...  suite.  ...  THE PERFORMANCE ANALYSIS OF PICEAg-DS on MOP and UF TEST SUITE To further analysis the performance of PICEAg-DS on MOPs with complicated PF shape, such as UF test suite [43] and a combination test suite  ... 
doi:10.1109/access.2020.3027008 fatcat:ecfhtmmgvvdfdjbbiizpklw6ga

Achievement of minimized combinatorial test suite for configuration-aware software functional testing using the Cuckoo Search algorithm

Bestoun S. Ahmed, Taib Sh. Abdulsamad, Moayad Y. Potrus
2015 Information and Software Technology  
The effectiveness of the strategy is assessed by applying the generated test suites on a real-world case study for the purpose of functional testing.  ...  Method: Cuckoo Search is used in the design and implementation of a strategy to construct optimized combinatorial sets. The strategy consists of different algorithms for construction.  ...  Thus, an optimization strategy is needed to optimize and generate an optimized test suite that has the effectiveness of exhaustive testing.  ... 
doi:10.1016/j.infsof.2015.05.005 fatcat:pjrs2i2m3jditkfaakkctghotm

Combinatorial Test Suites Generation Strategy Utilizing the Whale Optimization Algorithm

Ali Abdullah Hassan, Salwani Abdullah, Kamal Z. Zamli, Rozilawati Razali
2020 IEEE Access  
ACKNOWLEDGMENT This work was supported by the Ministry of Education, Malaysia (FRGS /1/2019/ICT02/UKM/01/1), and the Universiti Kebangsaan Malaysia (DIP-2016-024).  ...  The first au-thor would like to express his gratitude to Hadhramout Foundation, Yemen, for their support in tuition fees.  ...  This paper proposes a new strategy with constraint support for t-way test suite generation based on the Whale Optimization Algorithm (WOA).  ... 
doi:10.1109/access.2020.3032851 fatcat:gt7kdvcojzc5fgu7b3cg7koc3u

Zoning search using a hyper-heuristic algorithm

Qinqin Fan, Ning Li, Yilian Zhang, Xuefeng Yan
2019 Science China Information Sciences  
Further, the effectiveness of the proposed algorithm is evaluated on a widely used test suite proposed in IEEE CEC2014. The results indicate that the proposed algorithm is effective and efficient.  ...  Therefore, partitioning the search space is a promising approach for reducing the problem complexity, i.e., dividing the entire search space into some subspaces, especially when parallel computing, distributed  ...  The responsibility for scientific accuracy and content remains entirely with the authors.  ... 
doi:10.1007/s11432-018-9539-6 fatcat:auudytnevne53aszbnaal4h5n4

A Survey on Test Case Prioritization Techniques for Regression Testing

G. Pardha Sagar, P. V. R. D. Prasad
2017 Indian Journal of Science and Technology  
Objective: The main intent of this research is to provide prioritization of test cases in regression testing for various applications.  ...  Methods/Statistical Analysis: In this manuscript, a survey has been made on various test case prioritization techniques for regression testing.  ...  G-Rank Test In 19 Suggests G-Rank Test, a strategy which investigates the use of result of output as a parameter for selecting test cases which triggers the most complex parts of the code and is simple  ... 
doi:10.17485/ijst/2017/v10i10/99661 fatcat:z2ecch4nw5febfaqrel7g6pg4a

CTJ: Input-Output Based Relation Combinatorial Testing Strategy Using Jaya Algorithm

Mohammed Issam Younis, Abdul Rahman A. Alsewari, Ng Yeong Khang, Kamal Z. Zamli
2020 Baghdad Science Journal  
In this paper, a Jaya algorithm is proposed as an optimization algorithm engine to construct a test list based on IOR in the proposed combinatorial test list generator strategy into a tool called CTJ.  ...  In many cases, the system under test has more than one input making the testing efforts for every exhaustive combination impossible (i.e. the time of execution of the test case can be outrageously long  ...  Cohen and Colbourn used SA to solve the optimization problem while constructing a test suite for interaction testing (26) .  ... 
doi:10.21123/bsj.2020.17.3(suppl.).1002 fatcat:kcbqwexdsfh7xloj5noiitvdui

Bi-Hierarchical Cooperative Coevolution for Large Scale Global Optimization

Zhigang Ren, An Chen, Muyi Wang, Yang Yang, Yongsheng Liang, Ke Shang
2020 IEEE Access  
To keep the balance between the two types of optimization processes, an adaptive triggering mechanism for the overall optimization process is specially designed for BHCC.  ...  Experimental results on two widely-used benchmark suites verify the effectiveness of the new strategies in BHCC and also indicate that BHCC is more robust than existing CCs and can achieve competitive  ...  It tries to solve an LSGO problem with a ''divide-and-conquer'' strategy, which generally consists of two steps.  ... 
doi:10.1109/access.2020.2976488 fatcat:t6g7ks4ozffg5lowdqlpl4xtii

On Selection of a Benchmark by determining the Algorithms' Qualities

Iztok Fister, Janez Brest, Andres Iglesias, Akemi Galvez, Suash Deb, Iztok Fister
2021 IEEE Access  
In line with this, the CEC Competitions on Real-Parameter Single-Objective Optimization benchmarks that were issued several times in the last decade, serve as a testbed for evaluating the collection of  ...  The authors got the motivation for writing the paper based on an issue, with which developers of the newly developed nature-inspired algorithms are usually confronted today: How to select the test benchmark  ...  This research work has received funding from the project PDE-GIR of the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 778035, and the  ... 
doi:10.1109/access.2021.3058285 fatcat:sqq5fgiiuvfobpi2y33sod4uea

An Improved Farmland Fertility Algorithm for Global Function Optimization

Yan-Jiao Wang, Ye Chen
2020 IEEE Access  
The results of experiments on the CEC2013 test suite indicate that IFF has evident advantages over seven excellent algorithms in terms of convergence rate and precision.  ...  On the basis of the cosine similarity between the population and the current optimal individual, the area to which the individual belongs is periodically redivided, and the computing resources are reasonably  ...  Details of the test suite can be found in [35] . A.  ... 
doi:10.1109/access.2020.3002555 fatcat:ry32lptbbvhqle5eu5molgzsoa
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