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A Technique for Generating Test Data Using Genetic Algorithm

https://doi.org/10.1109/acomp.2016.019

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/stvr.4370020405openalex-snapshot

Dynamic method for software test data generation

inferredcites →https://doi.org/10.1007/978-3-540-70889-6_12openalex-snapshot

Evolutionary Testing: A Case Study

inferredcites →https://doi.org/10.1007/bf00995175openalex-snapshot

The applicability of program schema results to programs

inferredcites →https://doi.org/10.1016/s0950-5849(01)00190-2openalex-snapshot

Evolutionary test environment for automatic structural testing

inferredcites →https://doi.org/10.1049/sej.1996.0040openalex-snapshot

Automatic structural testing using genetic algorithms

inferredcites →https://doi.org/10.1109/32.57624openalex-snapshot

Automated software test data generation

inferredcites →https://doi.org/10.1109/32.988709openalex-snapshot

Generating software test data by evolution

inferredcites →https://doi.org/10.1109/ats.2000.893632openalex-snapshot

Using genetic algorithms for test case generation in path testing

inferredcites →https://doi.org/10.1109/cec.2003.1299560openalex-snapshot

Genetic algorithm based test data generator

inferredcites →https://doi.org/10.1109/cmpsac.2002.1044566openalex-snapshot

Suitability of evolutionary algorithms for evolutionary testing

inferredcites →https://doi.org/10.1109/fose.2007.25openalex-snapshot

Software Testing Research: Achievements, Challenges, Dreams

inferredcites →https://doi.org/10.1109/icnc.2008.388openalex-snapshot

Automatic Path-Oriented Test Data Generation Using a Multi-population Genetic Algorithm

inferredcites →https://doi.org/10.1142/s0218194002001074openalex-snapshot

AUTOMATIC TEST DATA GENERATION FOR PROGRAM PATHS USING GENETIC ALGORITHMS

inferredcites →https://doi.org/10.1145/226295.226319openalex-snapshot

Automated test data generation for programs with procedures

inferredcites →https://doi.org/10.1145/229000.226319openalex-snapshot

Automated test data generation for programs with procedures

inferredcites →https://doi.org/10.1145/390016.808444openalex-snapshot

A new approach to program testing

inferredcites →https://doi.org/10.1145/566172.566202openalex-snapshot

Semi-proving

inferredcites →https://doi.org/10.1145/940071.940087openalex-snapshot

Consistency techniques for interprocedural test data generation

inferredcites →https://doi.org/10.1145/949952.940087openalex-snapshot

Consistency techniques for interprocedural test data generation

inferredcites →https://doi.org/10.7551/mitpress/1090.001.0001openalex-snapshot

Adaptation in Natural and Artificial Systems

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-030-37309-2_20openalex-snapshot

Using Augmented Genetic Algorithm for Search-Based Software Testing

inferred← citeshttps://doi.org/10.1007/978-3-319-56660-3_43openalex-snapshot

Generation of Test Data Using Genetic Algorithm and Constraint Solver

inferred← citeshttps://doi.org/10.1007/978-981-13-1595-4_6openalex-snapshot

Test Case Generation and Optimization for Critical Path Testing Using Genetic Algorithm

inferred← citeshttps://doi.org/10.1007/978-981-15-1483-8_49openalex-snapshot

PSO-Based Test Case Generation: A Fitness Function Based on Value Combined Branch Distance

inferred← citeshttps://doi.org/10.1016/bs.adcom.2021.01.002openalex-snapshot

Evaluating software testing techniques: A systematic mapping study

inferred← citeshttps://doi.org/10.1016/j.jksuci.2019.09.010openalex-snapshot

PSO based test case generation for critical path using improved combined fitness function

inferred← citeshttps://doi.org/10.1109/access.2020.2966433openalex-snapshot

An Empirical Comparison of the Efficiency and Effectiveness of Genetic Algorithms and Adaptive Random Techniques in Data-Flow Testing

inferred← citeshttps://doi.org/10.1109/access.2024.3440518openalex-snapshot

DGBPSO-DBSCAN: An Optimized Clustering Technique Based on Supervised/Unsupervised Text Representation

inferred← citeshttps://doi.org/10.11591/ijeecs.v15.i1.pp504-510openalex-snapshot

Evolutionary algorithms for path coverage test data generation and optimization: a review

inferred← citeshttps://doi.org/10.3390/app10207264openalex-snapshot

Analyzing the Performance of the Multiple-Searching Genetic Algorithm to Generate Test Cases

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