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Metaheuristic Algorithm for State-Based Software Testing
Published 2018“…This article presents a metaheuristic algorithm for testing software, especially web applications, which can be modeled as a state transition diagram. …”
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Bee Colony Algorithm for Proctors Assignment.
Published 2015“…The search accomplished by three types of bees over a number of iterations aiming to find the source with the highest nectar value (fitness value of a candidate solution). We apply the Bee Colony algorithm to previously published data. Experimental results show good solutions that maximize the preferences of proctors while preserving the fairness of the workload given to proctors. …”
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Evolutionary algorithms for state justification in sequential automatic test pattern generation
Published 2005“…Sequential circuit test generation using deterministic, fault-oriented algorithms is highly complex and time consuming. …”
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Web Applications Security Testing: Genetic Algorithms Based Test Data Generator
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Efficient static test compaction algorithms for combinational circuits based on test relaxation
Published 2003Get full text
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Test Vector Decomposition Based Static Compaction Algorithms for Combinational Circuits
Published 2003“…In this paper, a new approach to static compaction for combinational circuits, referred to as test vector decomposition (TVD), is proposed. In addition, two new TVD based static compaction algorithms are presented. …”
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Bee colony algorithm for assigning proctors to exams. (c2013)
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A Multiswarm Intelligence Algorithm for Expensive Bound Constrained Optimization Problems
Published 2021“…The suggested algorithm integrates the SI-based algorithms to evolve population and handle exploration versus exploitation issues. …”
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An ant colony optimization algorithm to improve software quality prediction models
Published 2011“…We use an ant colony optimization algorithm in the adaptation process. …”
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Incremental and Heuristic Algorithms for Deriving Adaptive Distinguishing Test Cases for Nondeterministic Finite State Machines
Published 2017Subjects: “…Model Based Testing…”
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Automated Mutation-Based Test Data Generation: Genetic Algorithm Game-Like Approach
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Empirical comparison of regression test selection algorithms
Published 2001“…In this paper, we empirically compare five representative regression test selection algorithms, which include: Simulated Annealing, Reduction, Slicing, Dataflow, and Firewall algorithms. …”
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Natural optimization algorithms for optimal regression testing
Published 1997“…The algorithms are based on an integer programming problem formulation and the program's control-flow graph. …”
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A comparative study of five regression testing algorithms
Published 1997“…We compare five regression testing algorithms that include: slicing, incremental, firewall, genetic and simulated annealing algorithms. …”
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Simulated Annealing and Genetic Algorithms for Optimal Regression Testing
Published 1999“…The algorithms are based on an integer programming problem formulation and the program’s control flow graph. …”
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An incremental approach for test scheduling and synthesis using genetic algorithms
Published 2017“…The method is based on a genetic algorithm that efficiently explores the testable design space. …”
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