An Experimental Study of Hyper-heuristic Selection and Acceptance Mechanism for Combinatorial T-Way Test Suite Generation

QR Code

An Experimental Study of Hyper-heuristic Selection and Acceptance Mechanism for Combinatorial T-Way Test Suite Generation

Recently, many meta-heuristic algorithms have been proposed to serve as the basis of a t-way test generation strategy (where t indicates the interaction strength) including Genetic Algorithms (GA), Ant Colony Optimization (ACO), Simulated Annealing (SA), Cuckoo Search (CS), Particle Swarm Optimizati...

Full description

Bibliographic Details
Main Authors:	Kamal Z., Zamli, Fakhrud, Din, Kendall, Graham, Ahmed, Bestoun S.
Format:	Article
Language:	English
Published:	Elsevier Ltd 2017
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/14604/ http://umpir.ump.edu.my/id/eprint/14604/2/An%20experimental%20study%20of%20hyper-heuristic%20selection%20and%20acceptance%20mechanism%20for%20combinatorial%20t-way%20test%20suite%20generation%201.pdf

Similar Items

An experimental study of hyper-heuristic selection and acceptance mechanism for combinatorial t-way test suite generation
by: Zamil, Kamal Z., et al.
Published: (2017)

A Tabu Search Hyper-Heuristic for t-way Test Suite Generation
by: Kamal Z., Zamli, et al.
Published: (2016)

A Tabu Search hyper-heuristic strategy for t-way test suite generation
by: Zamil, Kamal Z., et al.
Published: (2016)

Hyper-heuristic based strategy for pairwise test case generation
by: Fakhrud, Din, et al.
Published: (2018)

Dynamic solution probability acceptance within the flower pollination algorithm for combinatorial t-way test suite generation
by: Abdullah, Nasser, et al.
Published: (2019)

Hybridmigrating birds algorithm starategy for t-way test suite generation
by: H. L., Zakaria, et al.
Published: (2019)

A hybrid Q-learning sine-cosine-based strategy for addressing the combinatorial test suite minimization problem
by: Kamal Z., Zamli, et al.
Published: (2018)

Fuzzy Adaptive Teaching Learning-based Optimization Strategy for the Problem of Generating Mixed Strength T-Way Test Suites
by: Kamal Z., Zamli, et al.
Published: (2017)

Fuzzy adaptive teaching learning-based optimization strategy for the problem of generating mixed strength t-way test suites
by: Zamli, Kamal Zuhari, et al.
Published: (2017)

Hyper-heuristic strategy for input-output-based interaction testing
by: Din, Fakhrud, et al.
Published: (2022)

Hybrid Migrating Birds Optimization Strategy for t-way Test Suite Generation
by: Hasneeza, L. Zakaria, et al.
Published: (2019)

Grammatical evolution hyper-heuristic for combinatorial optimization problems
by: Sabar, Nasar, et al.
Published: (2013)

A parameter free choice function based hyper-heuristic strategy for pairwise test generation
by: Fakhrud, Din, et al.
Published: (2017)

Hybrid flower pollination algorithm strategies for t-way test suite generation
by: Abdullah, Nasser, et al.
Published: (2018)

Fuzzy Adaptive Tuning of a Particle Swarm Optimization Algorithm for Variable-Strength Combinatorial Test Suite Generation
by: Kamal Z., Zamli, et al.
Published: (2018)

Comparative evaluation of tabu search hyper-heuristic against its low-level meta-heuristic constituents
by: Fakhrud, Din, et al.
Published: (2019)

Combinatorial T-way testing
by: Kamal Z., Zamli, et al.
Published: (2015)

Generating t-way Test Suite in the Presence of Constraints
by: Al-Sewari, Abdul Rahman Ahmed Mohammed, et al.
Published: (2014)

The automatic design of hyper-heuristic framework with gene expression programming for combinatorial optimization problems
by: Sabar, Nasar, et al.
Published: (2014)

Design Of Perturbative Hyper-Heuristics For Combinatorial Optimisation
by: Choong, Shin Siang
Published: (2019)

A fuzzy adaptive teaching learning-based optimization strategy for generating mixed strength t-way test suites
by: Din, Fakhrud
Published: (2019)

A dynamic multiarmed bandit-gene expression programming hyper-heuristic for combinatorial optimization problems
by: Sabar, Nasar R., et al.
Published: (2015)

Variable Strength T-Way Test Suite Generator with Constraints Support
by: Kamal Z., Zamli, et al.
Published: (2014)

Pairwise Test Suite Generation Using Adaptive Teaching Learning-Based Optimization Algorithm with Remedial Operator
by: Fakhrud, Din, et al.
Published: (2019)

An evaluation of Monte Carlo-based hyper-heuristic for interaction testing of industrial embedded software applications.
by: S. Ahmed, Bestoun, et al.
Published: (2020)

An Improved Jaya Algorithm-Based Strategy for T-Way Test Suite Generation
by: Abdullah, Nasser, et al.
Published: (2020)

A hyper-heuristic based strategy for image segmentation using multilevel thresholding
by: Luqman, ., et al.
Published: (2025)

A Unified Strategy for Sequence and Sequence-less T-way Test Suite Generation
by: Abdullah, Nasser, et al.
Published: (2016)

An elitist-flower pollination-based strategy for constructing sequence and sequence-less t-way test suite
by: Abdullah, Nasser, et al.
Published: (2018)

Assessing the chaotic map population initializations for sine cosine algorithm using the case study of pairwise test suite generation
by: Din, Fakhrud, et al.
Published: (2022)

Variable Strength T-Way Test Suite with Constraints Support
by: Kamal Z., Zamli, et al.
Published: (2014)

Self-adaptive Population Size Strategy Based on Flower Pollination Algorithm for T-Way Test Suite Generation
by: Abdullah, Nasser, et al.
Published: (2019)

Searching the hyper-heuristic design space
by: Swan, Jerry, et al.
Published: (2014)

Ensemble move acceptance in selection hyper-heuristics
by: Kheiri, Ahmed, et al.
Published: (2016)

Sequence and sequence-less T-way test suite generation strategy based on flower pollination algorithm
by: Abdullah, Nasser, et al.
Published: (2015)

A Distributed T-Way Test Suite Generation Using “One-Parameter-at-a-Time” Approach
by: Kamal Z., Zamli, et al.
Published: (2013)

Assessing optimization based strategies for t-way test suite generation: The case for flower-based strategy
by: Abdullah, Nasser, et al.
Published: (2016)

Test suite generation based on hybrid flower pollination algorithm and hill climbing
by: Nasser, Abdullah B., et al.
Published: (2021)

Latin hypercube sampling Jaya algorithm based strategy for T-way test suite generation
by: Nasser, Abdullah B., et al.
Published: (2020)

Intelligent interaction tests suite generator for iot testing
by: Nasser, Abdullah, et al.
Published: (2021)