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testing algorithm » cosine algorithm (Expand Search)
method algorithm » mould algorithm (Expand Search)
fusion algorithm » auction algorithm (Expand Search), cosine algorithm (Expand Search)
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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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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
Published 2020Get full text
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Efficient static test compaction algorithms for combinational circuits based on test relaxation
Published 2003Get full text
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Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms
Published 2021“…We also developed a binary template matching-based algorithm, which gives 93.64% accuracy 6X faster. …”
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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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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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Artificial intelligence-based methods for fusion of electronic health records and imaging data
Published 2022“…In our analysis, a typical workflow was observed: feeding raw data, fusing different data modalities by applying conventional machine learning (ML) or deep learning (DL) algorithms, and finally, evaluating the multimodal fusion through clinical outcome predictions. …”
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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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Concurrent BIST Synthesis and Test Scheduling Using Genetic Algorithms
Published 2007“…The method is based on a genetic algorithm that efficiently explores the testable design space and finds a sub-optimal test registers assignment for each k-test session. …”
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