On the use of meta-heuristic algorithms for automated test suite generation in software testing

DOI10.1007/978-3-030-67163-1_6OpenAlexW3141890300MaRDI QIDQ1979778

Anunay Sinha, Enrique Herrerra-Viedma, Manju Khari, Rubén González Crespo

Publication date: 3 September 2021

Full work available at URL: https://doi.org/10.1007/978-3-030-67163-1_6

Mathematics Subject Classification ID

Mathematical programming (90Cxx) Theory of software (68Nxx)

Cites Work

• Unnamed Item
• The max-min hill-climbing Bayesian network structure learning algorithm
• A new design method based on artificial bee colony algorithm for digital IIR filters
• An efficient method to generate feasible paths for basis path testing
• A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm
• Lévy flight artificial bee colony algorithm
• A New Metaheuristic Bat-Inspired Algorithm

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