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Generative transformations and patterns in LLM-native approaches for software verification and falsification
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-47910-4_21openalex-snapshot
Design Patterns: Abstraction and Reuse of Object-Oriented Design
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The Temporal Logic of Reactive and Concurrent Systems
inferredcites →https://doi.org/10.1007/978-3-031-70245-7_9openalex-snapshot
Towards Generating Executable Metamorphic Relations Using Large Language Models
inferredcites →https://doi.org/10.1007/978-3-662-03811-6openalex-snapshot
Principles of Program Analysis
inferredcites →https://doi.org/10.1007/s10664-015-9387-3openalex-snapshot
A contextual approach towards more accurate duplicate bug report detection and ranking
inferredcites →https://doi.org/10.1017/cbo9780511809163openalex-snapshot
Introduction to Software Testing
inferredcites →https://doi.org/10.1109/access.2023.3265731openalex-snapshot
Enhancing Bug Localization Using Phase-Based Approach
inferredcites →https://doi.org/10.1109/icse.2007.37openalex-snapshot
Feedback-Directed Random Test Generation
inferredcites →https://doi.org/10.1109/icstw64639.2025.10962470openalex-snapshot
Towards a Probabilistic Framework for Analyzing and Improving LLM-Enabled Software
inferredcites →https://doi.org/10.1109/jproc.2020.2993293openalex-snapshot
Software Vulnerability Detection Using Deep Neural Networks: A Survey
inferredcites →https://doi.org/10.1109/saner56733.2023.00038openalex-snapshot
Slice-Based Code Change Representation Learning
inferredcites →https://doi.org/10.1109/saner56733.2023.00070openalex-snapshot
Large Language Models: The Next Frontier for Variable Discovery within Metamorphic Testing?
inferredcites →https://doi.org/10.1109/sse67621.2025.00028openalex-snapshot
On the Challenges of Fuzzing Techniques via Large Language Models
inferredcites →https://doi.org/10.1109/tse.2010.62openalex-snapshot
An Analysis and Survey of the Development of Mutation Testing
inferredcites →https://doi.org/10.1109/tse.2010.98openalex-snapshot
Automated Abstractions for Contract Validation
inferredcites →https://doi.org/10.1109/tse.2014.2372785openalex-snapshot
The Oracle Problem in Software Testing: A Survey
inferredcites →https://doi.org/10.1109/tse.2016.2521368openalex-snapshot
A Survey on Software Fault Localization
inferredcites →https://doi.org/10.1109/tse.2017.2785841openalex-snapshot
Coverage-Based Greybox Fuzzing as Markov Chain
inferredcites →https://doi.org/10.1109/tse.2018.2827384openalex-snapshot
A Systematic Evaluation of Static API-Misuse Detectors
inferredcites →https://doi.org/10.1109/tse.2021.3087402openalex-snapshot
Deep Learning Based Vulnerability Detection: Are We There Yet?
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/10.1109/tse.2024.3382365openalex-snapshot
ChatGPT vs SBST: A Comparative Assessment of Unit Test Suite Generation
inferredcites →https://doi.org/10.1109/tse.2024.3397822openalex-snapshot
Isolating Compiler Bugs by Generating Effective Witness Programs With Large Language Models
inferredcites →https://doi.org/10.1109/tse.2024.3470333openalex-snapshot
Multitask-Based Evaluation of Open-Source LLM on Software Vulnerability
inferredcites →https://doi.org/10.1109/tse.2025.3562025openalex-snapshot
LLMorpheus: Mutation Testing Using Large Language Models
inferredcites →https://doi.org/10.1145/2408776.2408795openalex-snapshot
Symbolic execution for software testing
inferredcites →https://doi.org/10.1145/2931037.2931054openalex-snapshot
Sapienz: multi-objective automated testing for Android applications
inferredcites →https://doi.org/10.1145/3038912.3052649openalex-snapshot
Performance Monitoring and Root Cause Analysis for Cloud-hosted Web Applications
inferredcites →https://doi.org/10.1145/3627703.3629553openalex-snapshot
Automatic Root Cause Analysis via Large Language Models for Cloud Incidents
inferredcites →https://doi.org/10.1145/363235.363259openalex-snapshot
An axiomatic basis for computer programming
inferredcites →https://doi.org/10.1145/3643762openalex-snapshot
CORE: Resolving Code Quality Issues using LLMs
inferredcites →https://doi.org/10.1145/3643763openalex-snapshot
Towards AI-Assisted Synthesis of Verified Dafny Methods
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/10.1145/3643787.3648036openalex-snapshot
Software Vulnerability and Functionality Assessment using Large Language Models
inferredcites →https://doi.org/10.1145/3643795.3648396openalex-snapshot
Unit Test Generation using Generative AI : A Comparative Performance Analysis of Autogeneration Tools
inferredcites →https://doi.org/10.1145/3650212.3680354openalex-snapshot
Domain Adaptation for Code Model-Based Unit Test Case Generation
inferredcites →https://doi.org/10.1145/3650212.3680355openalex-snapshot
How Effective Are They? Exploring Large Language Model Based Fuzz Driver Generation
inferredcites →https://doi.org/10.1145/3660771openalex-snapshot
A Quantitative and Qualitative Evaluation of LLM-Based Explainable Fault Localization
inferredcites →https://doi.org/10.1145/3660773openalex-snapshot
A Deep Dive into Large Language Models for Automated Bug Localization and Repair
inferredcites →https://doi.org/10.1145/3660783openalex-snapshot
Evaluating and Improving ChatGPT for Unit Test Generation
inferredcites →https://doi.org/10.1145/3660791openalex-snapshot
Can Large Language Models Transform Natural Language Intent into Formal Method Postconditions?
inferredcites →https://doi.org/10.1145/3660810openalex-snapshot
ClarifyGPT: A Framework for Enhancing LLM-Based Code Generation via Requirements Clarification
inferredcites →https://doi.org/10.1145/3661167.3661216openalex-snapshot
Using Large Language Models to Generate JUnit Tests: An Empirical Study
inferredcites →https://doi.org/10.1145/3664646.3664777openalex-snapshot
Effectiveness of ChatGPT for Static Analysis: How Far Are We?
inferredcites →https://doi.org/10.1145/3676641.3716022openalex-snapshot
KernelGPT: Enhanced Kernel Fuzzing via Large Language Models
inferredcites →https://doi.org/10.1145/3689736openalex-snapshot
WhiteFox: White-Box Compiler Fuzzing Empowered by Large Language Models
inferredcites →https://doi.org/10.1145/3729398openalex-snapshot
CoverUp: Effective High Coverage Test Generation for Python
inferredcites →https://doi.org/10.1145/96267.96279openalex-snapshot
An empirical study of the reliability of UNIX utilities
inferredcites →https://doi.org/10.1162/coli_a_00492openalex-snapshot
Language Model Behavior: A Comprehensive Survey
inferredcites →https://doi.org/10.1162/tacl_a_00502openalex-snapshot
On Decoding Strategies for Neural Text Generators
inferredcites →https://doi.org/10.1162/tacl_a_00638openalex-snapshot
Lost in the Middle: How Language Models Use Long Contexts
inferredcites →https://doi.org/10.14722/ndss.2024.24556openalex-snapshot
Large Language Model guided Protocol Fuzzing
inferredcites →https://doi.org/10.14722/ndss.2025.241357openalex-snapshot
PropertyGPT: LLM-driven Formal Verification of Smart Contracts through Retrieval-Augmented Property Generation
inferredcites →https://doi.org/10.18653/v1/2023.acl-long.108openalex-snapshot
Instruction Induction: From Few Examples to Natural Language Task Descriptions
inferredcites →https://doi.org/10.18653/v1/d15-1044openalex-snapshot
A Neural Attention Model for Abstractive Sentence Summarization
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1145/3832783.3834545openalex-snapshot
Let’s Chat about Design: A Transformation-Oriented Viewpoint for LLM-Native Software
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