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Test Case Minimization with Quantum Annealers

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1 of the 65 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-11): 10.1007/s00500-020-04719-9 (notice 2024-08-19).

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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/net.21751openalex-snapshot
Quadratic unconstrained binary optimization problem preprocessing: Theory and empirical analysis
inferredcites →https://doi.org/10.1002/smr.2419openalex-snapshot
Quantum software testing: State of the art
inferredcites →https://doi.org/10.1002/wics.182openalex-snapshot
Bootstrap
inferredcites →https://doi.org/10.1007/978-3-030-50743-5_10openalex-snapshot
Embedding Algorithms for Quantum Annealers with Chimera and Pegasus Connection Topologies
inferredcites →https://doi.org/10.1007/s00500-020-04719-9openalex-snapshot
RETRACTED ARTICLE: Soft computing-based semi-automated test case selection using gradient-based techniques
inferredcites →https://doi.org/10.1007/s00542-019-04679-7openalex-snapshot
Regression test case selection and prioritization for object oriented software
inferredcites →https://doi.org/10.1007/s10664-006-7551-5openalex-snapshot
Simulated annealing applied to test generation: landscape characterization and stopping criteria
inferredcites →https://doi.org/10.1007/s10664-016-9437-5openalex-snapshot
Robust Statistical Methods for Empirical Software Engineering
inferredcites →https://doi.org/10.1007/s10664-021-10066-6openalex-snapshot
Test case selection and prioritization using machine learning: a systematic literature review
inferredcites →https://doi.org/10.1007/s11128-008-0082-9openalex-snapshot
Minor-embedding in adiabatic quantum computation: I. The parameter setting problem
inferredcites →https://doi.org/10.1007/s11128-021-03226-6openalex-snapshot
Garden optimization problems for benchmarking quantum annealers
inferredcites →https://doi.org/10.1007/s42452-019-1829-xopenalex-snapshot
Solving the traveling salesman problem on a quantum annealer
inferredcites →https://doi.org/10.1007/s42484-020-00031-9openalex-snapshot
Investigating the Chinese postman problem on a quantum annealer
inferredcites →https://doi.org/10.1007/s42484-021-00050-0openalex-snapshot
Quantum computing methods for supervised learning
inferredcites →https://doi.org/10.1007/s42979-021-00466-2openalex-snapshot
Implementation of a Hybrid Classical-Quantum Annealing Algorithm for Logistic Network Design
inferredcites →https://doi.org/10.1016/j.cor.2017.05.014openalex-snapshot
Large-scale vehicle routing problems: Quantum Annealing, tunings and results
inferredcites →https://doi.org/10.1016/j.infsof.2019.06.009openalex-snapshot
Pareto efficient multi-objective black-box test case selection for simulation-based testing
inferredcites →https://doi.org/10.1016/j.infsof.2020.106346openalex-snapshot
Using simulated annealing for locating array construction
inferredcites →https://doi.org/10.1016/j.jksuci.2018.09.005openalex-snapshot
A survey on different approaches for software test case prioritization
inferredcites →https://doi.org/10.1016/j.jss.2014.08.024openalex-snapshot
Cost-effective test suite minimization in product lines using search techniques
inferredcites →https://doi.org/10.1016/j.knosys.2022.108511openalex-snapshot
Backpropagation Neural Network optimization and software defect estimation modelling using a hybrid Salp Swarm optimizer-based Simulated Annealing Algorithm
inferredcites →https://doi.org/10.1038/nmeth.3414openalex-snapshot
Sampling distributions and the bootstrap
inferredcites →https://doi.org/10.1038/s41598-020-58081-9openalex-snapshot
Model Predictive Control for Finite Input Systems using the D-Wave Quantum Annealer
inferredcites →https://doi.org/10.1038/s41598-021-82740-0openalex-snapshot
Traffic signal optimization on a square lattice with quantum annealing
inferredcites →https://doi.org/10.1038/s41598-022-08394-8openalex-snapshot
Parallel quantum annealing
inferredcites →https://doi.org/10.1063/1.2995837openalex-snapshot
Mathematical foundation of quantum annealing
inferredcites →https://doi.org/10.1080/23311916.2021.1882116openalex-snapshot
Quantum algorithm for solving the test suite minimization problem
inferredcites →https://doi.org/10.1088/1361-6633/ac8c54openalex-snapshot
Quantum annealing for industry applications: introduction and review
inferredcites →https://doi.org/10.1098/rsta.2021.0417openalex-snapshot
Quantum annealing: an overview
inferredcites →https://doi.org/10.1103/physreve.58.5355openalex-snapshot
Quantum annealing in the transverse Ising model
inferredcites →https://doi.org/10.1109/access.2021.3070634openalex-snapshot
A Comprehensive Review on NSGA-II for Multi-Objective Combinatorial Optimization Problems
inferredcites →https://doi.org/10.1109/ase51524.2021.9678563openalex-snapshot
Muskit: A Mutation Analysis Tool for Quantum Software Testing
inferredcites →https://doi.org/10.1109/ase51524.2021.9678798openalex-snapshot
Quito: a Coverage-Guided Test Generator for Quantum Programs
inferredcites →https://doi.org/10.1109/ase56229.2023.00062openalex-snapshot
QuCAT: A Combinatorial Testing Tool for Quantum Software
inferredcites →https://doi.org/10.1109/ase56229.2023.00196openalex-snapshot
QuraTest: Integrating Quantum Specific Features in Quantum Program Testing
inferredcites →https://doi.org/10.1109/icspc47137.2019.9068003openalex-snapshot
A Survey on Test Case Prioritization and Optimization Techniques in Software Regression Testing
inferredcites →https://doi.org/10.1109/icst49551.2021.00014openalex-snapshot
Assessing the Effectiveness of Input and Output Coverage Criteria for Testing Quantum Programs
inferredcites →https://doi.org/10.1109/icst49551.2021.00061openalex-snapshot
Poster: Fuzz Testing of Quantum Program
inferredcites →https://doi.org/10.1109/jstsp.2016.2574703openalex-snapshot
Solving the Optimal Trading Trajectory Problem Using a Quantum Annealer
inferredcites →https://doi.org/10.1109/qrs54544.2021.00029openalex-snapshot
Application of Combinatorial Testing to Quantum Programs
inferredcites →https://doi.org/10.1109/taes.2021.3088490openalex-snapshot
Agile Earth Observation Satellite Scheduling With a Quantum Annealer
inferredcites →https://doi.org/10.1109/tqe.2022.3195061openalex-snapshot
Mutation Testing of Quantum Programs: A Case Study With Qiskit
inferredcites →https://doi.org/10.1109/tse.2021.3070549openalex-snapshot
Reinforcement Learning for Test Case Prioritization
inferredcites →https://doi.org/10.1109/tse.2024.3479421openalex-snapshot
Quantum Approximate Optimization Algorithm for Test Case Optimization
inferredcites →https://doi.org/10.1140/epjst/e2015-02347-yopenalex-snapshot
A quantum annealing approach for fault detection and diagnosis of graph-based systems
inferredcites →https://doi.org/10.1142/s0218213016300015openalex-snapshot
Simulated Annealing, Its Variants and Engineering Applications
inferredcites →https://doi.org/10.1142/s0219749919500424openalex-snapshot
A hybrid quantum-classical paradigm to mitigate embedding costs in quantum annealing
inferredcites →https://doi.org/10.1145/1985793.1985795openalex-snapshot
A practical guide for using statistical tests to assess randomized algorithms in software engineering
inferredcites →https://doi.org/10.1145/3092703.3092709openalex-snapshot
Reinforcement learning for automatic test case prioritization and selection in continuous integration
inferredcites →https://doi.org/10.1145/3205455.3205648openalex-snapshot
MOEA/D with uniformly randomly adaptive weights
inferredcites →https://doi.org/10.1145/3377816.3381731openalex-snapshot
Is your quantum program bug-free?
inferredcites →https://doi.org/10.1145/3387940.3391459openalex-snapshot
Property-based Testing of Quantum Programs in Q#
inferredcites →https://doi.org/10.1145/3468264.3468555openalex-snapshot
Multi-objectivizing software configuration tuning
inferredcites →https://doi.org/10.1145/3510454.3516839openalex-snapshot
QuSBT
inferredcites →https://doi.org/10.1145/3510454.3528649openalex-snapshot
Mutation testing of quantum programs written in QISKit
inferredcites →https://doi.org/10.1145/3512290.3528869openalex-snapshot
Mutation-based test generation for quantum programs with multi-objective search
inferredcites →https://doi.org/10.1145/3528230.3528395openalex-snapshot
A multi-lingual benchmark for property-based testing of quantum programs
inferredcites →https://doi.org/10.1145/3528230.3529189openalex-snapshot
Metamorphic testing of oracle quantum programs
inferredcites →https://doi.org/10.1145/3530019.3530023openalex-snapshot
Black-box Test Case Selection by Relating Code Changes with Previously Fixed Defects
inferredcites →https://doi.org/10.1145/3532213.3532248openalex-snapshot
Test Case Prioritization Based on Simulation Annealing Algorithm
inferredcites →https://doi.org/10.1145/3533767.3543296openalex-snapshot
QMutPy: a mutation testing tool for Quantum algorithms and applications in Qiskit
inferredcites →https://doi.org/10.1145/3549036.3562060openalex-snapshot
Quantum computing for software engineering: prospects
inferredcites →https://doi.org/10.1145/3549036.3562061openalex-snapshot
Using Quantum computers to speed up dynamic testing of software
inferredcites →https://doi.org/10.18154/rwth-2021-09173openalex-snapshot
Garden optimization problems for benchmarking quantum annealers
inferredcites →https://doi.org/10.48550/arxiv.1803.04340openalex-snapshot
A Hybrid Quantum-Classical Paradigm to Mitigate Embedding Costs in Quantum Annealing

What points at this work

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

inferred← citeshttps://doi.org/10.1007/s10009-024-00775-wopenalex-snapshot
Reformulating regression test suite optimization using quantum annealing - an empirical study
inferred← citeshttps://doi.org/10.1109/cascon66301.2025.00108openalex-snapshot
Quantum-Guided Test Case Minimization for LLM-Based Code Generation
inferred← citeshttps://doi.org/10.1109/icst69053.2026.00048openalex-snapshot
Ising-based Test Optimization and Benchmarking
inferred← citeshttps://doi.org/10.1109/icst69053.2026.00093openalex-snapshot
An Adaptive Hybrid Quantum-Classical Framework for Test Suite Minimization via Quantum Approximate Optimization Algorithm
inferred← citeshttps://doi.org/10.1109/ms.2025.3546511openalex-snapshot
BQTmizer: A Tool for Test Case Minimization With Quantum Annealing
inferred← citeshttps://doi.org/10.1109/tse.2024.3479421openalex-snapshot
Quantum Approximate Optimization Algorithm for Test Case Optimization
inferred← citeshttps://doi.org/10.1145/3712002openalex-snapshot
Quantum Software Engineering: Roadmap and Challenges Ahead
inferred← citeshttps://doi.org/10.1145/3715106openalex-snapshot
Testing and Debugging Quantum Programs: The Road to 2030
inferred← citeshttps://doi.org/10.1145/3769302openalex-snapshot
Quantum Neural Network Classifier for Cancer Registry System Testing: A Feasibility Study
inferred← citeshttps://doi.org/10.1145/3832783.3834439openalex-snapshot
How Quantum Bugs Live and Die: A Lifecycle-Based Empirical Study of Bugs in Quantum Software
inferred← citeshttps://doi.org/10.15407/intechsys.2025.04.045openalex-snapshot
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