An Orchestrated Survey on T-Way Test Case Generation Strategies Based on Optimization Algorithms

The test case construction is amongst the most labor-intensive tasks and has significant influence on the effectiveness and efficiency in software testing. Due to the market needed for diverse types of tests, recently, several number of t-way testing strategies (where t indicates the interaction str...

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Main Authors: Alsewari, Abdulrahman A., Kamal Z., Zamli
Format: Book Chapter
Language:English
Published: Springer 2014
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/6917/1/fskkp-2013-alsewari-.pdf
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author Alsewari, Abdulrahman A.
Kamal Z., Zamli
author_facet Alsewari, Abdulrahman A.
Kamal Z., Zamli
author_sort Alsewari, Abdulrahman A.
collection UMP
description The test case construction is amongst the most labor-intensive tasks and has significant influence on the effectiveness and efficiency in software testing. Due to the market needed for diverse types of tests, recently, several number of t-way testing strategies (where t indicates the interaction strengths) have been developed adopting different approaches Algebraic, Pure computational, and Optimization Algorithms (OpA). This paper presents an orchestrated survey of the existing OpA t-way strategies as Simulated Annealing (SA), Genetic Algorithm (GA), Ant Colony Algorithm (ACA), Particle Swarm Optimization based strategy (PSTG), and Harmony Search Strategy (HSS). The results demonstrate the strength and the limitations of each strategy, thereby highlighting possible research for future work in this area.
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spelling UMPir69172018-01-15T07:41:34Z http://umpir.ump.edu.my/id/eprint/6917/ An Orchestrated Survey on T-Way Test Case Generation Strategies Based on Optimization Algorithms Alsewari, Abdulrahman A. Kamal Z., Zamli QA76 Computer software The test case construction is amongst the most labor-intensive tasks and has significant influence on the effectiveness and efficiency in software testing. Due to the market needed for diverse types of tests, recently, several number of t-way testing strategies (where t indicates the interaction strengths) have been developed adopting different approaches Algebraic, Pure computational, and Optimization Algorithms (OpA). This paper presents an orchestrated survey of the existing OpA t-way strategies as Simulated Annealing (SA), Genetic Algorithm (GA), Ant Colony Algorithm (ACA), Particle Swarm Optimization based strategy (PSTG), and Harmony Search Strategy (HSS). The results demonstrate the strength and the limitations of each strategy, thereby highlighting possible research for future work in this area. Springer 2014 Book Chapter PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/6917/1/fskkp-2013-alsewari-.pdf Alsewari, Abdulrahman A. and Kamal Z., Zamli (2014) An Orchestrated Survey on T-Way Test Case Generation Strategies Based on Optimization Algorithms. In: The 8th International Conference on Robotic, Vision, Signal Processing & Power Applications. Lecture Notes in Electrical Engineering, 291 . Springer, Singapore, pp. 255-263. ISBN 978-981-4585-41-5 (print); 978-981-4585-42-2 (online) http://dx.doi.org/10.1007/978-981-4585-42-2_30 DOI: 10.1007/978-981-4585-42-2_30
spellingShingle QA76 Computer software
Alsewari, Abdulrahman A.
Kamal Z., Zamli
An Orchestrated Survey on T-Way Test Case Generation Strategies Based on Optimization Algorithms
title An Orchestrated Survey on T-Way Test Case Generation Strategies Based on Optimization Algorithms
title_full An Orchestrated Survey on T-Way Test Case Generation Strategies Based on Optimization Algorithms
title_fullStr An Orchestrated Survey on T-Way Test Case Generation Strategies Based on Optimization Algorithms
title_full_unstemmed An Orchestrated Survey on T-Way Test Case Generation Strategies Based on Optimization Algorithms
title_short An Orchestrated Survey on T-Way Test Case Generation Strategies Based on Optimization Algorithms
title_sort orchestrated survey on t way test case generation strategies based on optimization algorithms
topic QA76 Computer software
url http://umpir.ump.edu.my/id/eprint/6917/1/fskkp-2013-alsewari-.pdf
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