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Evolutionary test data generation: a comparison of fitness functions

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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.294openalex-snapshot
Search‐based software test data generation: a survey
inferredcites →https://doi.org/10.1007/3-540-45110-2_148openalex-snapshot
Evolutionary Testing of Flag Conditions
inferredcites →https://doi.org/10.1007/978-3-540-24855-2_156openalex-snapshot
Evaluating Evolutionary Testability with Software-Measurements
inferredcites →https://doi.org/10.1007/bf00175354openalex-snapshot
A genetic algorithm tutorial
inferredcites →https://doi.org/10.1016/0141-1195(83)90118-3openalex-snapshot
Software engineering: A practitioner's approach
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Representation and Hidden Bias: Gray vs. Binary Coding for Genetic Algorithms
inferredcites →https://doi.org/10.1016/s0020-0255(00)00093-1openalex-snapshot
Automatic test data generation for path testing using GAs
inferredcites →https://doi.org/10.1016/s0167-9236(03)00020-4openalex-snapshot
The cost behavior of software defects
inferredcites →https://doi.org/10.1016/s0950-5849(01)00190-2openalex-snapshot
Evolutionary test environment for automatic structural testing
inferredcites →https://doi.org/10.1021/ac00210a736openalex-snapshot
National Institute of Standards and Technology
inferredcites →https://doi.org/10.1023/b:sqjo.0000024059.72478.4eopenalex-snapshot
Data Generation for Path Testing
inferredcites →https://doi.org/10.1049/ip-sen:20030559openalex-snapshot
Reformulating software engineering as a search problem
inferredcites →https://doi.org/10.1097/00152192-198305000-00049openalex-snapshot
READING STATISTICS AND RESEARCH
inferredcites →https://doi.org/10.1109/2.294849openalex-snapshot
Genetic algorithms: a survey
inferredcites →https://doi.org/10.1109/32.988709openalex-snapshot
Generating software test data by evolution
inferredcites →https://doi.org/10.1109/sccc.2001.972653openalex-snapshot
Path selection in the structural testing: proposition, implementation and application of strategies
inferredcites →https://doi.org/10.1109/tse.1984.5010257openalex-snapshot
An Evaluation of Random Testing
inferredcites →https://doi.org/10.1109/tse.2004.1265731openalex-snapshot
Editorial: AE introduction
inferredcites →https://doi.org/10.1109/tse.2004.1265732openalex-snapshot
Testability transformation
inferredcites →https://doi.org/10.1109/tse.2004.78openalex-snapshot
Analysis and visualization of predicate dependence on formal parameters and global variables
inferredcites →https://doi.org/10.1142/s0218194002001074openalex-snapshot
AUTOMATIC TEST DATA GENERATION FOR PROGRAM PATHS USING GENETIC ALGORITHMS
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.

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Using Swarm Intelligence to Generate Test Data for Covering Prime Paths
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The Effectiveness of T-Way Test Data Generation
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PSO Based Pseudo Dynamic Method for Automated Test Case Generation Using Interpreter
inferred← citeshttps://doi.org/10.1007/978-981-10-6499-9_70openalex-snapshot
Generating Test Data Covering Multiple Paths Using Genetic Algorithm Incorporating with Reducing Input Domain
inferred← citeshttps://doi.org/10.1007/s00521-011-0568-8openalex-snapshot
Testability transformation based on equivalence of target statements
inferred← citeshttps://doi.org/10.1007/s10515-026-00692-zopenalex-snapshot
Enhancing test data generation via path-grouped reusable prioritized DQN and PSO for mutation testing
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Heuristics-based infeasible path detection for dynamic test data generation
inferred← citeshttps://doi.org/10.1016/j.infsof.2008.11.001openalex-snapshot
Automated test data generation using a scatter search approach
inferred← citeshttps://doi.org/10.1016/j.jss.2011.06.028openalex-snapshot
Evolutionary generation of test data for many paths coverage based on grouping
inferred← citeshttps://doi.org/10.1016/j.jss.2012.07.041openalex-snapshot
Search Based Software Engineering: Review and analysis of the field in Brazil
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Optimizing test data generation using SI_CNNpro-enhanced MGA for mutation testing
inferred← citeshttps://doi.org/10.1049/iet-sen.2014.0058openalex-snapshot
Constrained multi‐objective test data generation based on set evolution
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Testing Method for Software With Randomness Using Genetic Algorithm
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Application of Artificial Bee Colony Algorithm to Software Testing
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Improved evolutionary generation of test data for multiple paths in search-based software testing
inferred← citeshttps://doi.org/10.1109/compsacw.2011.41openalex-snapshot
An Improved Technique of Fitness Evaluation for Evolutionary Testing
inferred← citeshttps://doi.org/10.1109/iccd59681.2023.10420712openalex-snapshot
Test Data Generation based on Multiprocess Enhanced Multi-Population Genetic Algorithm
inferred← citeshttps://doi.org/10.1109/iciccs.2016.7542311openalex-snapshot
A critical review of Artificial Bee Colony optimizing technique in software testing
inferred← citeshttps://doi.org/10.1109/icis.2012.37openalex-snapshot
Automatic Test Data Generation Based on SA-QGA
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An approach to generate software test data for a specific path automatically with genetic algorithm
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A Systematic Review of the Application and Empirical Investigation of Search-Based Test Case Generation
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Genetic Algorithms for Randomized Unit Testing
inferred← citeshttps://doi.org/10.1145/1540438.1540456openalex-snapshot
On the value of combining feature subset selection with genetic algorithms
inferred← citeshttps://doi.org/10.1145/1543834.1543839openalex-snapshot
Search-based multi-paths test data generation for structure-oriented testing
inferred← citeshttps://doi.org/10.1145/2001576.2001826openalex-snapshot
Search-based software testing and test data generation for a dynamic programming language
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Cellular automata based test data generation
inferred← citeshttps://doi.org/10.1155/2014/591294openalex-snapshot
Genetic Algorithm-Based Test Data Generation for Multiple Paths via Individual Sharing
inferred← citeshttps://doi.org/10.22044/jadm.2017.5015.1603openalex-snapshot
Optimizing Cost Function in Imperialist Competitive Algorithm for Path Coverage Problem in Software Testing
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Applying program analysis augmented with empirical properties into software analysis, testing and maintenance
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Sensor-Based Optimization Model for Air Quality Improvement in Home IoT
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GA-based Path Planning for Mobile Robots: An Empirical Evaluation of Seven Techniques
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Uma abordagem evolutiva para a geração automatica de dados de teste
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Generalized Extremal Optimization: a competitive algorithm for test data generation
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