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JCrasher: an automatic robustness tester for Java
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Outgoing claims: the papers this work cites, builds on, or argues with.
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A framework for practical, automated black‐box testing of component‐based software†
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An Informal Formal Method for Systematic JUnit Test Case Generation
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Eager Class Initialization for Java
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A Simple and Practical Approach to Unit Testing: The JML and JUnit Way
inferredcites →https://doi.org/10.1016/0967-0661(96)83722-1openalex-snapshot
Black-box testing: Techniques for functional testing of software and systems
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TEST-INFECTED: PROGRAMMERS LOVE WRITING TESTS
inferredcites →https://doi.org/10.1023/a:1008607721339openalex-snapshot
Test Case Generation as an AI Planning Problem
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Hierarchical GUI test case generation using automated planning
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Tool-assisted unit test selection based on operational violations
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Robustness testing and hardening of CORBA ORB implementations
inferredcites →https://doi.org/10.1109/dsn.2006.28openalex-snapshot
The International Conference on Dependable Systems and Networks (DSN 2007)
inferredcites →https://doi.org/10.1109/ftcs.1998.689474openalex-snapshot
Automated robustness testing of off-the-shelf software components
inferredcites →https://doi.org/10.1109/ms.1996.536464openalex-snapshot
Black Box Testing: Techniques for Functional Testing of Software and Systems
inferredcites →https://doi.org/10.1145/185084.185096openalex-snapshot
ADL—an interface definition language for specifying and testing software
inferredcites →https://doi.org/10.1145/185087.185096openalex-snapshot
ADL—an interface definition language for specifying and testing software
inferredcites →https://doi.org/10.1147/sj.391.0194openalex-snapshot
Building a Java virtual machine for server applications: The Jvm on OS/390
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Efficient Testing of Service-Oriented Applications Using Semantic Service Stubs
inferred← citeshttps://doi.org/10.1109/ipdps.2018.00096openalex-snapshot
COMPI: Concolic Testing for MPI Applications
inferred← citeshttps://doi.org/10.1109/isdpe.2007.104openalex-snapshot
Automated Large-Scale Simulation Test-Data Generation for Object-Oriented Software Systems
inferred← citeshttps://doi.org/10.1109/isdpe.2007.60openalex-snapshot
An Efficient and Unconditionally-Secure Oblivious Polynomial Evaluation Protocol
inferred← citeshttps://doi.org/10.1109/ispras60948.2023.10508168openalex-snapshot
Automated Unit Test Generation For Java Programs Using Fuzzing
inferred← citeshttps://doi.org/10.1109/issre.2005.12openalex-snapshot
Automatically Identifying Special and Common Unit Tests for Object-Oriented Programs
inferred← citeshttps://doi.org/10.1109/issre.2006.21openalex-snapshot
Detecting Redundant Unit Tests for AspectJ Programs
inferred← citeshttps://doi.org/10.1109/issre.2008.18openalex-snapshot
Finding Faults: Manual Testing vs. Random+ Testing vs. User Reports
inferred← citeshttps://doi.org/10.1109/issre.2015.7381848openalex-snapshot
Pushing the limits on automation in GUI regression testing
inferred← citeshttps://doi.org/10.1109/it4od.2016.7479255openalex-snapshot
Invalid input data and conformity testing for an object-oriented specification
inferred← citeshttps://doi.org/10.1109/itng.2010.123openalex-snapshot
Automating Java Program Testing Using OCL and AspectJ
inferred← citeshttps://doi.org/10.1109/iwast.2012.6228990openalex-snapshot
An industrial case study of the effectiveness of test generators
inferred← citeshttps://doi.org/10.1109/kse.2010.34openalex-snapshot
Extending CREST with Multiple SMT Solvers and Real Arithmetic
inferred← citeshttps://doi.org/10.1109/msr.2015.20openalex-snapshot
Unveiling Exception Handling Bug Hazards in Android Based on GitHub and Google Code Issues
inferred← citeshttps://doi.org/10.1109/msr.2019.00028openalex-snapshot
On the Effectiveness of Manual and Automatic Unit Test Generation: Ten Years Later
inferred← citeshttps://doi.org/10.1109/qrs65678.2025.00075openalex-snapshot
PinChecker: Identifying Unsound Safe Abstractions of Rust Pinning APIs
inferred← citeshttps://doi.org/10.1109/qsic.2014.33openalex-snapshot
Empirically Evaluating the Quality of Automatically Generated and Manually Written Test Suites
inferred← citeshttps://doi.org/10.1109/saner53432.2022.00053openalex-snapshot
Detecting Runtime Exceptions by Deep Code Representation Learning with Attention-Based Graph Neural Networks
inferred← citeshttps://doi.org/10.1109/scam63643.2024.00022openalex-snapshot
Migrating Unit Tests Across Java Applications
inferred← citeshttps://doi.org/10.1109/seaa.2012.42openalex-snapshot
Random Test Case Generation and Manual Unit Testing: Substitute or Complement in Retrofitting Tests for Legacy Code?
inferred← citeshttps://doi.org/10.1109/taic-part.2008.20openalex-snapshot
Feedback-Based Specification, Coding and Testing with JWalk
inferred← citeshttps://doi.org/10.1109/taicpart.2009.28openalex-snapshot
Dynamic Analysis of Algebraic Structure to Optimize Test Generation and Test Case Selection
inferred← citeshttps://doi.org/10.1109/tr.2018.2832072openalex-snapshot
Mapping the Effectiveness of Automated Test Suite Generation Techniques
inferred← citeshttps://doi.org/10.1109/tse.2006.105openalex-snapshot
Statistical Debugging: A Hypothesis Testing-Based Approach
inferred← citeshttps://doi.org/10.1109/tse.2008.103openalex-snapshot
Carving and Replaying Differential Unit Test Cases from System Test Cases
inferred← citeshttps://doi.org/10.1109/tse.2008.37openalex-snapshot
Delta Execution for Efficient State-Space Exploration of Object-Oriented Programs
inferred← citeshttps://doi.org/10.1109/tse.2010.46openalex-snapshot
Genetic Algorithms for Randomized Unit Testing
inferred← citeshttps://doi.org/10.1109/tse.2011.93openalex-snapshot
Mutation-Driven Generation of Unit Tests and Oracles
inferred← citeshttps://doi.org/10.1109/tse.2014.2312918openalex-snapshot
Automated Fixing of Programs with Contracts
inferred← citeshttps://doi.org/10.1109/tse.2014.2363469openalex-snapshot
STAR: Stack Trace Based Automatic Crash Reproduction via Symbolic Execution
inferred← citeshttps://doi.org/10.1109/tse.2014.2363479openalex-snapshot
Instance Generator and Problem Representation to Improve Object Oriented Code Coverage
inferred← citeshttps://doi.org/10.1109/tse.2017.2663435openalex-snapshot
Automated Test Case Generation as a Many-Objective Optimisation Problem with Dynamic Selection of the Targets
inferred← citeshttps://doi.org/10.1109/tse.2021.3087087openalex-snapshot
Generating Unit Tests for Documentation
inferred← citeshttps://doi.org/10.1109/tse.2023.3334955openalex-snapshot
An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation
inferred← citeshttps://doi.org/10.1109/tse.2024.3381015openalex-snapshot
Shaken, Not Stirred: How Developers Like Their Amplified Tests
inferred← citeshttps://doi.org/10.1109/vissoft.2015.7332412openalex-snapshot
Vestige: A visualization framework for engineering geometry-related software
inferred← citeshttps://doi.org/10.1109/wicom.2009.5302578openalex-snapshot
Test Case Generation Based on Invariant Extraction
inferred← citeshttps://doi.org/10.1134/s0361768808060066openalex-snapshot
Automation of broad sanity test generation
inferred← citeshttps://doi.org/10.1142/s0218194006002884openalex-snapshot
A TOOL TO AUTOMATICALLY MAP IMPLEMENTATION-BASED TESTING TECHNIQUES TO CLASSES
inferred← citeshttps://doi.org/10.1145/1081706.1081745openalex-snapshot
Parameterized unit tests with unit meister
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