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CoverUp: Effective High Coverage Test Generation for Python
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-540-79124-9_10openalex-snapshot
Pex–White Box Test Generation for .NET
inferredcites →https://doi.org/10.1007/s10664-022-10248-wopenalex-snapshot
An empirical study of automated unit test generation for Python
inferredcites →https://doi.org/10.1016/j.infsof.2024.107468openalex-snapshot
Effective test generation using pre-trained Large Language Models and mutation testing
inferredcites →https://doi.org/10.1109/icse.2007.37openalex-snapshot
Feedback-Directed Random Test Generation
inferredcites →https://doi.org/10.1109/icse48619.2023.00085openalex-snapshot
CodaMosa: Escaping Coverage Plateaus in Test Generation with Pre-trained Large Language Models
inferredcites →https://doi.org/10.1109/icst.2015.7102604openalex-snapshot
Reformulating Branch Coverage as a Many-Objective Optimization Problem
inferredcites →https://doi.org/10.1109/icst32117.2015openalex-snapshot
2015 IEEE 8th International Conference on Software Testing, Verification and Validation (ICST)
inferredcites →https://doi.org/10.1109/issre.2014.11openalex-snapshot
A Survey on Unit Testing Practices and Problems
inferredcites →https://doi.org/10.1109/issre10779.2005openalex-snapshot
16th IEEE International Symposium on Software Reliability Engineering (ISSRE'05)
inferredcites →https://doi.org/10.1109/mcom.1986.1092946openalex-snapshot
New directions in communications (or which way to the information age?)
inferredcites →https://doi.org/10.1109/tse.2011.93openalex-snapshot
Mutation-Driven Generation of Unit Tests and Oracles
inferredcites →https://doi.org/10.1109/tse.2017.2663435openalex-snapshot
Automated Test Case Generation as a Many-Objective Optimisation Problem with Dynamic Selection of the Targets
inferredcites →https://doi.org/10.1109/tse.2023.3334955openalex-snapshot
An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation
inferredcites →https://doi.org/10.1109/tse.2024.3368208openalex-snapshot
Software Testing With Large Language Models: Survey, Landscape, and Vision
inferredcites →https://doi.org/10.1145/186258openalex-snapshot
Proceedings of the 1994 international symposium on Software testing and analysis - ISSTA '94
inferredcites →https://doi.org/10.1145/2685612openalex-snapshot
A Large-Scale Evaluation of Automated Unit Test Generation Using EvoSuite
inferredcites →https://doi.org/10.1145/2771783.2771793openalex-snapshot
Reliable testing: detecting state-polluting tests to prevent test dependency
inferredcites →https://doi.org/10.1145/3368089.3417943openalex-snapshot
BugsInPy: a database of existing bugs in Python programs to enable controlled testing and debugging studies
inferredcites →https://doi.org/10.1145/3428270openalex-snapshot
A large-scale longitudinal study of flaky tests
inferredcites →https://doi.org/10.1145/3580596openalex-snapshot
Dissecting American Fuzzy Lop: A FuzzBench Evaluation
inferredcites →https://doi.org/10.1145/3597503.3608138openalex-snapshot
Do Automatic Test Generation Tools Generate Flaky Tests?
inferredcites →https://doi.org/10.1145/3597503.3639121openalex-snapshot
Fuzz4All: Universal Fuzzing with Large Language Models
inferredcites →https://doi.org/10.1145/3597926.3598128openalex-snapshot
SlipCover: Near Zero-Overhead Code Coverage for Python
inferredcites →https://doi.org/10.1145/3643769openalex-snapshot
Code-Aware Prompting: A Study of Coverage-Guided Test Generation in Regression Setting using LLM
inferredcites →https://doi.org/10.1145/3663529.3663801openalex-snapshot
ChatUniTest: A Framework for LLM-Based Test Generation
inferredcites →https://doi.org/10.1145/3663529.3663839openalex-snapshot
Automated Unit Test Improvement using Large Language Models at Meta
inferredcites →https://doi.org/10.1145/3718350.3718357openalex-snapshot
Should AI Optimize Your Code? A Comparative Study of Classical Optimizing Compilers Versus Current Large Language Models
inferredcites →https://doi.org/10.1145/93542openalex-snapshot
Proceedings of the ACM SIGPLAN 1990 conference on Programming language design and implementation - PLDI '90
inferredcites →https://doi.org/10.1145/96267.96279openalex-snapshot
An empirical study of the reliability of UNIX utilities
inferredcites →https://doi.org/10.4230/lipics.esem.2026.34openalex-snapshot
A Direction-Aware Study of LLM-Based Code Translation Across Eight Programming Languages
inferredcites →https://doi.org/10.48550/arxiv.2206.01335openalex-snapshot
Code Generation Tools (Almost) for Free? A Study of Few-Shot, Pre-Trained Language Models on Code
inferredcites →https://doi.org/10.48550/arxiv.2208.05950openalex-snapshot
Interactive Code Generation via Test-Driven User-Intent Formalization
inferredcites →https://doi.org/10.48550/arxiv.2302.11382openalex-snapshot
A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT
inferredcites →https://doi.org/10.48550/arxiv.2303.12712openalex-snapshot
Sparks of Artificial General Intelligence: Early experiments with GPT-4
inferredcites →https://doi.org/10.48550/arxiv.2307.04346openalex-snapshot
Can Large Language Models Write Good Property-Based Tests?
inferredcites →https://doi.org/10.5281/zenodo.15187804openalex-snapshot
plasma-umass/coverup: Automatically Generating Higher-Coverage Test Suites with AI
inferredcites →https://doi.org/10.5281/zenodo.15187865openalex-snapshot
plasma-umass/pytest-cleanslate: State pollution handling for CoverUp
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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RAPTest: A Coverage-Driven and Retrieval-Augmented Framework for Deep Structural Penetration in Unit Testing
inferred← citeshttps://doi.org/10.1007/s10515-026-00669-yopenalex-snapshot
ReviewTestFuse: Fusing review-guided and direct test generation for deployable regression testing
inferred← citeshttps://doi.org/10.1016/j.infsof.2026.108301openalex-snapshot
ConAgent: Agent-based concolic testing to generate test data for Qt projects
inferred← citeshttps://doi.org/10.1016/j.jss.2025.112571openalex-snapshot
Mokav: Execution-driven differential testing with LLMs
inferred← citeshttps://doi.org/10.1016/j.jss.2026.113055openalex-snapshot
CGTest: A hybrid coverage-guided framework for cost-effective unit test generation
inferred← citeshttps://doi.org/10.1109/apsec66846.2025.00028openalex-snapshot
MUATC: Multi-Agent Utilization to Augment Test Coverage
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Navigating the Labyrinth: Path-Sensitive Unit Test Generation with Large Language Models
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A Study on the Continuous Generation of Test Cases for Large Language Models with Project Memory
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AgentMoE-Test: A Mixture-of-Experts Agentic Framework with Graph Retrieval-Augmented Generation for Autonomous Sprint Automation in Playwright CI/CD Pipelines
inferred← citeshttps://doi.org/10.1109/compsac69091.2026.00059openalex-snapshot
Beyond Test Presence: Assessing the Quality and Robustness of Agent-Generated Tests in Open-Source Projects
inferred← citeshttps://doi.org/10.1109/icbase70763.2026.11619458openalex-snapshot
Class-Level Test Code Generation and Evaluation Approach Based on Large Language Models
inferred← citeshttps://doi.org/10.1109/icst69053.2026.00012openalex-snapshot
Understanding and Overcoming Limitations of Automated Test Generation
inferred← citeshttps://doi.org/10.1109/icst69053.2026.00061openalex-snapshot
Real-World Fault Detection for C-Extended Python Projects with Automated Unit Test Generation
inferred← citeshttps://doi.org/10.1109/icst69053.2026.00081openalex-snapshot
How Effectively Do Large Language Models Help with Build Conflict Resolution?
inferred← citeshttps://doi.org/10.1109/icstw72326.2026.00018openalex-snapshot
Automated Black-Box Testing: A Comparative Study of LLM Agent Architectures and Prompt Engineering
inferred← citeshttps://doi.org/10.1109/mc.2025.3609478openalex-snapshot
From Heuristics to Intelligence: Large Language Model-Driven Test Case Generation
inferred← citeshttps://doi.org/10.1109/mc.2025.3625694openalex-snapshot
LLM-Powered Security Test Generation: Oracles, Vulnerability Probes, and Adversarial Inputs
inferred← citeshttps://doi.org/10.1109/msr66628.2025.00086openalex-snapshot
Can LLMs Replace Manual Annotation of Software Engineering Artifacts?
inferred← citeshttps://doi.org/10.1109/saner67736.2026.00013openalex-snapshot
HieraTest: Hierarchical Dependency-Driven Framework with Multi-Strategy Repair for LLM-Based Unit Test Generation
inferred← citeshttps://doi.org/10.1109/sp63933.2026.00184openalex-snapshot
Specializing Language Models for Textual Fuzzing via Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/sse72781.2026.00011openalex-snapshot
ChatPerfTest: A framework for LLM-based JMH microbenchmark generation
inferred← citeshttps://doi.org/10.1145/3691620.3695513openalex-snapshot
Towards Understanding the Effectiveness of Large Language Models on Directed Test Input Generation
inferred← citeshttps://doi.org/10.1145/3715107openalex-snapshot
Test Oracle Automation in the Era of LLMs
inferred← citeshttps://doi.org/10.1145/3744916.3787768openalex-snapshot
Change And Cover: Last-Mile, Pull Request-Based Regression Test Augmentation
inferred← citeshttps://doi.org/10.1145/3766882.3767179openalex-snapshot
Towards Safe Agentic AI Performance Engineering
inferred← citeshttps://doi.org/10.1145/3774748.3787600openalex-snapshot
JUnitGenie: A Framework for Path-Sensitive Unit Test Generation with Large Language Models
inferred← citeshttps://doi.org/10.1145/3774748.3787638openalex-snapshot
Reinforcement Learning from Testing Targets for Effective SLM Test Generation
inferred← citeshttps://doi.org/10.1145/3786181.3788709openalex-snapshot
LLM-Powered On-Demand Test Suites in Self-Graded Student Programming Assignments
inferred← citeshttps://doi.org/10.1145/3786583.3786919openalex-snapshot
On the Flakiness of LLM-Generated Tests for Industrial and Open-Source Database Management Systems
inferred← citeshttps://doi.org/10.1145/3796263.3796265openalex-snapshot
Artificial intelligence tools in code quality analysis:A systematic review
inferred← citeshttps://doi.org/10.1145/3797140openalex-snapshot
TestTailor: Generating High-Coverage Tests via Path-Proximal Tests with LLMs
inferred← citeshttps://doi.org/10.1145/3798251openalex-snapshot
Beyond Coverage: Automatic Test Suite Augmentation for Enhanced Effectiveness using Large Language Models
inferred← citeshttps://doi.org/10.1145/3802827openalex-snapshot
Enhancing Automated Unit Test Generation with Large Language Models: A Systematic Literature Review
inferred← citeshttps://doi.org/10.1145/3803437.3806418openalex-snapshot
CoRenameAgent: A Human-In-The-Loop, Multi-Agent Tool for Coordinated Rename Refactoring
inferred← citeshttps://doi.org/10.1145/3830083openalex-snapshot
Type-aware LLM-based Test Generation for Python Programs
inferred← citeshttps://doi.org/10.1145/3830418.3843898openalex-snapshot
Testing Custom Control Planes Without the Cluster
inferred← citeshttps://doi.org/10.1145/3832098openalex-snapshot
LLMutantKiller: Using Large Language Models to Generate Tests That Kill Mutants
inferred← citeshttps://doi.org/10.1145/3832162openalex-snapshot
From Greedy Steps to Global Optimization: Learning Sequential Test Suite Generation
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ConUT: Condition-Aware Test Generation for Complex Java Code
inferred← citeshttps://doi.org/10.1145/3832783.3834410openalex-snapshot
Verifier-in-the-Loop LLM Solving of Heap Constraints for Concolic Execution
inferred← citeshttps://doi.org/10.1145/3832783.3834525openalex-snapshot
EvoLLM: High-Coverage, Readable, and Token-Efficient Unit Test Generation for Industrial Java Codebases
inferred← citeshttps://doi.org/10.1145/3832783.3837532openalex-snapshot
HyBinMAS: LLM-Powered Hybrid Analysis for Function Name Recovery of Stripped Binaries
inferred← citeshttps://doi.org/10.1145/3832783.3837537openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3843750.3843845openalex-snapshot
Detecting Database Migration Non-equivalence through LLM-Assisted Mutation-Score-Guided Testing
inferred← citeshttps://doi.org/10.1145/3843776.3844668openalex-snapshot
FitGen: Validation and Guided Repair of LLM Generated Executable Fitness Functions for Search Based Software Testing
inferred← citeshttps://doi.org/10.1145/3843782.3844658openalex-snapshot
Leveraging Large Language Models for Automated Discriminatory Test Generation
inferred← citeshttps://doi.org/10.21203/rs.3.rs-8822709/v1openalex-snapshot
Unit Test Case Generation using Large Language Models for Students in Computer Programming
inferred← citeshttps://doi.org/10.21203/rs.3.rs-9238547/v1openalex-snapshot
When Generative AI Writes Test Cases: Scenario-Driven Evaluation of Generated Tests
inferred← citeshttps://doi.org/10.2139/ssrn.5624902openalex-snapshot
Generative transformations and patterns in LLM-native approaches for software verification and falsification
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Adaptive Strategy Generation for Boundary Value Exploration Beyond Numeric Inputs
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MockWeaver: Mock-Aware Multi-Agent Unit Test Generation for External Dependencies
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Data Optimization for LLMs: A Survey
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