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Heuristics-based infeasible path detection for dynamic test data generation

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

inferredcites →https://doi.org/10.1002/(sici)1099-1689(199912)9:4<263::aid-stvr190>3.0.co;2-yopenalex-snapshot
Test-data generation using genetic algorithms
inferredcites →https://doi.org/10.1002/spe.684openalex-snapshot
Evolutionary test data generation: a comparison of fitness functions
inferredcites →https://doi.org/10.1007/11817963_38openalex-snapshot
CUTE and jCUTE: Concolic Unit Testing and Explicit Path Model-Checking Tools
inferredcites →https://doi.org/10.1007/978-3-540-31980-1_24openalex-snapshot
Symstra: A Framework for Generating Object-Oriented Unit Tests Using Symbolic Execution
inferredcites →https://doi.org/10.1007/978-3-540-31984-9_20openalex-snapshot
Kaveri: Delivering the Indus Java Program Slicer to Eclipse
inferredcites →https://doi.org/10.1016/0950-5849(90)90110-dopenalex-snapshot
Predictive metric for likely feasibility of program paths
inferredcites →https://doi.org/10.1016/0950-5849(95)98039-iopenalex-snapshot
A path generation method for testing LCSAJs that restrains infeasible paths
inferredcites →https://doi.org/10.1016/j.infsof.2003.09.011openalex-snapshot
A structured experiment of test-driven development
inferredcites →https://doi.org/10.1109/32.57624openalex-snapshot
Automated software test data generation
inferredcites →https://doi.org/10.1109/32.83912openalex-snapshot
Using program slicing in software maintenance
inferredcites →https://doi.org/10.1109/32.988709openalex-snapshot
Generating software test data by evolution
inferredcites →https://doi.org/10.1109/ase.2000.873665openalex-snapshot
Identification of potentially infeasible program paths by monitoring the search for test data
inferredcites →https://doi.org/10.1109/ase.2000.873666openalex-snapshot
Generating test data for branch coverage
inferredcites →https://doi.org/10.1109/qsic.2003.1319109openalex-snapshot
Character string predicate based automatic software test data generation
inferredcites →https://doi.org/10.1109/sefm.2004.30openalex-snapshot
Path-oriented test data generation using symbolic execution and constraint solving techniques
inferredcites →https://doi.org/10.1109/tse.1976.233817openalex-snapshot
A System to Generate Test Data and Symbolically Execute Programs
inferredcites →https://doi.org/10.1142/s0218194001000487openalex-snapshot
A CONSTRAINT SOLVER AND ITS APPLICATION TO PATH FEASIBILITY ANALYSIS
inferredcites →https://doi.org/10.1142/s0218194002001074openalex-snapshot
AUTOMATIC TEST DATA GENERATION FOR PROGRAM PATHS USING GENETIC ALGORITHMS
inferredcites →https://doi.org/10.1145/1007512.1007526openalex-snapshot
Test input generation with java PathFinder
inferredcites →https://doi.org/10.1145/1007512.1007528openalex-snapshot
Evolutionary testing of classes
inferredcites →https://doi.org/10.1145/1062455.1062533openalex-snapshot
Check 'n' crash
inferredcites →https://doi.org/10.1145/186258.186523openalex-snapshot
Applications of feasible path analysis to program testing
inferredcites →https://doi.org/10.1145/1925805.1925818openalex-snapshot
Soot
inferredcites →https://doi.org/10.1145/226155.226158openalex-snapshot
The chaining approach for software test data generation
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/10.1145/24039.24041openalex-snapshot
The program dependence graph and its use in optimization
inferredcites →https://doi.org/10.1145/258915.258929openalex-snapshot
Interprocedural conditional branch elimination
inferredcites →https://doi.org/10.1145/267895.267921openalex-snapshot
Refining data flow information using infeasible paths
inferredcites →https://doi.org/10.1145/267896.267921openalex-snapshot
Refining data flow information using infeasible paths
inferredcites →https://doi.org/10.1145/267896.267922openalex-snapshot
Feasible test path selection by principal slicing
inferredcites →https://doi.org/10.1145/288195.288321openalex-snapshot
Automated test data generation using an iterative relaxation method
inferredcites →https://doi.org/10.1145/75308.75315openalex-snapshot
Reducing the effects of infeasible paths in branch testing
inferredcites →https://doi.org/10.21236/ada484701openalex-snapshot
CUTE and jCUTE: Concolic Unit Testing and Explicit Path Model-Checking Tools (Tools Paper)
inferredcites →https://doi.org/10.6028/nist.ir.5737openalex-snapshot
A method to determine a basis set of paths to perform program testing
inferredcites →https://doi.org/10.6028/nist.sp.500-235openalex-snapshot
Structured testing :

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-030-67163-1_6openalex-snapshot
On the Use of Meta-Heuristic Algorithms for Automated Test Suite Generation in Software Testing
inferred← citeshttps://doi.org/10.1007/978-3-319-19024-2_5openalex-snapshot
Finding the Critical Path with Loop Structure for a Basis Path Testing Using Genetic Algorithm
inferred← citeshttps://doi.org/10.1007/978-3-642-21515-5_18openalex-snapshot
PSO Based Pseudo Dynamic Method for Automated Test Case Generation Using Interpreter
inferred← citeshttps://doi.org/10.1007/978-3-642-45422-6_5openalex-snapshot
Detection of Infeasible Paths: Approaches and Challenges
inferred← citeshttps://doi.org/10.1007/s00500-019-04444-yopenalex-snapshot
Performance analysis of six meta-heuristic algorithms over automated test suite generation for path coverage-based optimization
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.infsof.2012.04.007openalex-snapshot
Reducing test effort: A systematic mapping study on existing approaches
inferred← citeshttps://doi.org/10.1016/j.infsof.2014.07.012openalex-snapshot
Infeasible path generalization in dynamic symbolic execution
inferred← citeshttps://doi.org/10.1016/j.infsof.2018.11.006openalex-snapshot
FSCT: A new fuzzy search strategy in concolic testing
inferred← citeshttps://doi.org/10.1016/j.ipl.2014.01.009openalex-snapshot
Automatic generation of basis test paths using variable length genetic algorithm
inferred← citeshttps://doi.org/10.1016/j.jss.2015.05.007openalex-snapshot
A UML model-based approach to detect infeasible paths
inferred← citeshttps://doi.org/10.1016/j.scico.2024.103183openalex-snapshot
Automatic detection of infeasible paths in large-scale program based on program summaries
inferred← citeshttps://doi.org/10.1049/iet-sen.2009.0092openalex-snapshot
Automatic detection of infeasible paths in software testing
inferred← citeshttps://doi.org/10.1049/iet-sen.2017.0112openalex-snapshot
Bayes‐TDG: effective test data generation using Bayesian belief network: toward failure‐detection effectiveness and maximum coverage
inferred← citeshttps://doi.org/10.1063/1.5055481openalex-snapshot
Infeasible paths in static analysis: Problems and challenges
inferred← citeshttps://doi.org/10.1109/access.2019.2894593openalex-snapshot
Detecting Interprocedural Infeasible Paths Based on Unsatisfiable Path Constraint Patterns
inferred← citeshttps://doi.org/10.1109/access.2019.2918558openalex-snapshot
An Approach for Detecting Infeasible Paths Based on a SMT Solver
inferred← citeshttps://doi.org/10.1109/ast.2015.21openalex-snapshot
Mining Patterns of Unsatisfiable Constraints to Detect Infeasible Paths
inferred← citeshttps://doi.org/10.1109/csmr-wcre.2014.6747227openalex-snapshot
Detecting infeasible branches based on code patterns
inferred← citeshttps://doi.org/10.1109/icsea.2010.74openalex-snapshot
A Symbolic Execution Tool Based on the Elimination of Infeasible Paths
inferred← citeshttps://doi.org/10.1109/icspis51611.2020.9349588openalex-snapshot
Automatic detection of infeasible ALL-DU paths in the data flow test using an evolutionary approach
inferred← citeshttps://doi.org/10.1109/icst.2010.13openalex-snapshot
Explanation-Based Generalization of Infeasible Path
inferred← citeshttps://doi.org/10.1109/icst.2015.7102607openalex-snapshot
Sound and Quasi-Complete Detection of Infeasible Test Requirements
inferred← citeshttps://doi.org/10.1109/inmic.2011.6151487openalex-snapshot
Improving path selection by handling loops in automatic test data generation
inferred← citeshttps://doi.org/10.1109/qrs-c65679.2025.00092openalex-snapshot
Research on Automatic Detection of Infeasible Paths Based on Symbolic Execution and Constraint Solving
inferred← citeshttps://doi.org/10.1109/rtas.2014.6926000openalex-snapshot
Trickle: Automated infeasible path detection using all minimal unsatisfiable subsets
inferred← citeshttps://doi.org/10.1109/tase.2013.29openalex-snapshot
Feasibility Analysis of the EFSM Transition Path Combining Slicing with Theorem Proving
inferred← citeshttps://doi.org/10.1109/tse.2015.2490067openalex-snapshot
Bidirectional Symbolic Analysis for Effective Branch Testing
inferred← citeshttps://doi.org/10.1109/wcse.2009.328openalex-snapshot
Automatic Determination of Branch Correlations in Software Testing
inferred← citeshttps://doi.org/10.1142/s0218194025500457openalex-snapshot
A Reinforcement Learning-Based Approach for Determining Infeasible Paths of Programs
inferred← citeshttps://doi.org/10.1145/3180155.3180191openalex-snapshot
Time to clean your test objectives
inferred← citeshttps://doi.org/10.1145/3395363.3402646openalex-snapshot
Automatic support for the identification of infeasible testing requirements
inferred← citeshttps://doi.org/10.1145/3559744.3559748openalex-snapshot
A Strategy to Support the Infeasible Test Requirements Identification
inferred← citeshttps://doi.org/10.1155/2020/4258291openalex-snapshot
Infeasible Path Detection Based on Code Pattern and Backward Symbolic Execution
inferred← citeshttps://doi.org/10.11606/t.55.2023.tde-19122023-151021openalex-snapshot
Uma abordagem para apoiar a identificação de não executabilidade no teste estrutural de software
inferred← citeshttps://doi.org/10.12681/eadd/38297openalex-snapshot
Effective methods to tackle the equivalent mutant problem when testing software with mutation
inferred← citeshttps://doi.org/10.1504/ijbic.2013.053045openalex-snapshot
Heuristic search-based approach for automated test data generation: a survey
inferred← citeshttps://doi.org/10.1587/transinf.2015edp7121openalex-snapshot
Path Feasibility Analysis of BPEL Processes under Dead Path Elimination Semantics
inferred← citeshttps://doi.org/10.26190/unsworks/16384openalex-snapshot
Towards verified microkernels for real-time mixed-criticality systems
inferred← citeshttps://doi.org/10.32657/10356/41497openalex-snapshot
Applying program analysis augmented with empirical properties into software analysis, testing and maintenance
inferred← citeshttps://doi.org/10.32657/10356/61780openalex-snapshot
Augmenting static program analysis and design verification with pattern recognition
inferred← citeshttps://doi.org/10.3724/sp.j.1016.2008.01549openalex-snapshot
Sharp Static Analysis of Programs
inferred← citeshttps://doi.org/10.3923/jse.2012.65.78openalex-snapshot
Detecting Infeasible Paths via Mining Branch Correlations
inferred← citeshttps://doi.org/10.4156/ijact.vol4.issue1.56openalex-snapshot
Infeasible Basis Paths Detection of Program with Exception-Handling Constructs
inferred← citeshttps://doi.org/10.48550/arxiv.1011.0594openalex-snapshot
Heuristic Approach of Automated Test Data Generation for Program having Array of Different Dimensions and Loops with Variable Number of Iteration
inferred← citeshttps://doi.org/10.5121/ijcses.2011.2108openalex-snapshot
Automated Software Test Data Generation: Direction of Research
inferred← citeshttps://doi.org/10.5121/ijsea.2010.1405openalex-snapshot
Heuristic Approach of Automated Test Data Generation for Programs Having Array of Different Dimensions and Loops with Variable Number of Iteration
inferred← citeshttps://doi.org/10.5220/0003989002120217openalex-snapshot
Detecting Infeasible Traces in Process Models
inferred← citeshttps://doi.org/10.5815/ijieeb.2014.06.01openalex-snapshot
Diagnostic Path-Oriented Test Data Generation by Hyper Cuboids
inferred← citeshttps://doi.org/10.70675/5c48fbd2z0163z458ez9d37z9b9a04bfba0dopenalex-snapshot
Détermination de propriétés de flot de données pour améliorer les estimations de temps d'exécution pire-cas
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