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Demystifying LLM-Based Software Engineering Agents

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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/stvr.1509openalex-snapshot
Metallaxis‐FL: mutation‐based fault localization
inferredcites →https://doi.org/10.1016/j.jss.2009.06.035openalex-snapshot
A practical evaluation of spectrum-based fault localization
inferredcites →https://doi.org/10.1109/ase.2013.6693093openalex-snapshot
Improving bug localization using structured information retrieval
inferredcites →https://doi.org/10.1109/icse.2012.6227168openalex-snapshot
BugRedux: Reproducing field failures for in-house debugging
inferredcites →https://doi.org/10.1109/icse.2012.6227210openalex-snapshot
Where should the bugs be fixed? More accurate information retrieval-based bug localization based on bug reports
inferredcites →https://doi.org/10.1109/icse19354.2012openalex-snapshot
2012 34th International Conference on Software Engineering (ICSE)
inferredcites →https://doi.org/10.1109/icse48619.2023.00125openalex-snapshot
Impact of Code Language Models on Automated Program Repair
inferredcites →https://doi.org/10.1109/icse48619.2023.00129openalex-snapshot
Automated Program Repair in the Era of Large Pre-trained Language Models
inferredcites →https://doi.org/10.1109/icst.2014.28openalex-snapshot
Ask the Mutants: Mutating Faulty Programs for Fault Localization
inferredcites →https://doi.org/10.1109/tse.2011.104openalex-snapshot
GenProg: A Generic Method for Automatic Software Repair
inferredcites →https://doi.org/10.1109/tse.2016.2521368openalex-snapshot
A Survey on Software Fault Localization
inferredcites →https://doi.org/10.1109/tse.2017.2755013openalex-snapshot
Automatic Software Repair: A Survey
inferredcites →https://doi.org/10.1109/tse.2019.2940179openalex-snapshot
SEQUENCER: Sequence-to-Sequence Learning for End-to-End Program Repair
inferredcites →https://doi.org/10.1145/1101908.1101949openalex-snapshot
Empirical evaluation of the tarantula automatic fault-localization technique
inferredcites →https://doi.org/10.1145/2597008.2597148openalex-snapshot
Version history, similar report, and structure: putting them together for improved bug localization
inferredcites →https://doi.org/10.1145/2771783.2771797openalex-snapshot
Evaluating the usefulness of IR-based fault localization techniques
inferredcites →https://doi.org/10.1145/2786805.2786811openalex-snapshot
Staged program repair with condition synthesis
inferredcites →https://doi.org/10.1145/2884781.2884807openalex-snapshot
Angelix
inferredcites →https://doi.org/10.1145/2884781.2884872openalex-snapshot
An analysis of the search spaces for generate and validate patch generation systems
inferredcites →https://doi.org/10.1145/3092703.3092717openalex-snapshot
FLUCCS: using code and change metrics to improve fault localization
inferredcites →https://doi.org/10.1145/3293882.3330559openalex-snapshot
Practical program repair via bytecode mutation
inferredcites →https://doi.org/10.1145/3293882.3330574openalex-snapshot
DeepFL: integrating multiple fault diagnosis dimensions for deep fault localization
inferredcites →https://doi.org/10.1145/3293882.3330577openalex-snapshot
TBar: revisiting template-based automated program repair
inferredcites →https://doi.org/10.1145/3395363.3397351openalex-snapshot
Can automated program repair refine fault localization? a unified debugging approach
inferredcites →https://doi.org/10.1145/3468264.3468544openalex-snapshot
A syntax-guided edit decoder for neural program repair
inferredcites →https://doi.org/10.1145/3510003.3510147openalex-snapshot
Improving fault localization and program repair with deep semantic features and transferred knowledge
inferredcites →https://doi.org/10.1145/3540250.3549101openalex-snapshot
Less training, more repairing please: revisiting automated program repair via zero-shot learning
inferredcites →https://doi.org/10.1145/3597503openalex-snapshot
Proceedings of the IEEE/ACM 46th International Conference on Software Engineering
inferredcites →https://doi.org/10.1145/3597503.3623342openalex-snapshot
Large Language Models for Test-Free Fault Localization
inferredcites →https://doi.org/10.1145/3639478openalex-snapshot
Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings
inferredcites →https://doi.org/10.1145/3650212.3680384openalex-snapshot
AutoCodeRover: Autonomous Program Improvement
inferredcites →https://doi.org/10.14722/ndss.2024.24556openalex-snapshot
Large Language Model guided Protocol Fuzzing

What points at this work

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

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Intelligent Analysis of Software Team Performance: An Agentic Approach
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Evaluating Agentic Large Language Models for Requirements-Based Test Case Generation: A Cost–Effectiveness Study
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A Multi-agent AI System for Automated Patent Deep Research and Analysis
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Business Process Discovery Through Agentic Generative AI
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DEIMerge: An Automatic Program Repair Framework Based on Multi-agent Collaboration and Intelligent Patch Merging
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/10.1007/s10664-026-10802-wopenalex-snapshot
Can test cases generated by large language models facilitate automated program repair?
inferred← citeshttps://doi.org/10.1007/s10664-026-10940-1openalex-snapshot
CGARF: a causality-guided framework for reliable automated program repair
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Generative AI solutions for software quality: Assessing industrial readiness
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Planning as graphs: Adaptive agentic planning for LLM agents
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kAPR: A coverage-guided, context-aware agent for automated repair of Linux kernel bugs
inferred← citeshttps://doi.org/10.1016/j.jss.2026.113101openalex-snapshot
Toward effective LLM-based Automated Program Repair: A taxonomy of prompting strategies and key trends, insights, and challenges
inferred← citeshttps://doi.org/10.1038/s41592-026-03029-6openalex-snapshot
CellVoyager: AI CompBio agent generates new insights by autonomously analyzing biological data
inferred← citeshttps://doi.org/10.1038/s41598-026-42158-yopenalex-snapshot
Evaluating routing stability and coordination in swarm-based multi-agent task-oriented dialogue systems
inferred← citeshttps://doi.org/10.1109/access.2025.3588425openalex-snapshot
DAWN: Designing Distributed Agents in a Worldwide Network
inferred← citeshttps://doi.org/10.1109/access.2026.3727158openalex-snapshot
Diagnosing Candidate Quality Bottlenecks in RL-Guided LLM Code Repair
inferred← citeshttps://doi.org/10.1109/acdsa65407.2025.11165833openalex-snapshot
Generative AI Efficiency and Effectiveness in Software Project Documentation Review Process
inferred← citeshttps://doi.org/10.1109/acit69831.2026.11700062openalex-snapshot
Historical Artifacts Do Not Measurably Improve Knowledge Graph-Augmented Issue Resolution
inferred← citeshttps://doi.org/10.1109/aitest70988.2026.00044openalex-snapshot
Multi-Agent Change Impact Analysis and Test Optimization for AI-Enabled Software Systems
inferred← citeshttps://doi.org/10.1109/ase63991.2025.00011openalex-snapshot
Vul-R2: A Reasoning LLM for Automated Vulnerability Repair
inferred← citeshttps://doi.org/10.1109/ase63991.2025.00057openalex-snapshot
RustRepoTrans: Repository-level Context Code Translation Benchmark Targeting Rust
inferred← citeshttps://doi.org/10.1109/ase63991.2025.00072openalex-snapshot
Let the Code Speak: Incorporating Program Dynamic State for Better Method-Level Fault Localization
inferred← citeshttps://doi.org/10.1109/ase63991.2025.00100openalex-snapshot
Seeing is Fixing: Cross-Modal Reasoning with Multimodal LLMs for Visual Software Issue Repair
inferred← citeshttps://doi.org/10.1109/ase63991.2025.00105openalex-snapshot
RFCAudit: AI Agent for Auditing Protocol Implementations Against RFC Specifications
inferred← citeshttps://doi.org/10.1109/ase63991.2025.00154openalex-snapshot
MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution
inferred← citeshttps://doi.org/10.1109/ase63991.2025.00179openalex-snapshot
FlakyGuard: Automatically Fixing Flaky Tests at Industry Scale
inferred← citeshttps://doi.org/10.1109/ase63991.2025.00249openalex-snapshot
Issue Localization via LLM-Driven Iterative Code Graph Searching
inferred← citeshttps://doi.org/10.1109/ase63991.2025.00288openalex-snapshot
BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice
inferred← citeshttps://doi.org/10.1109/ase63991.2025.00309openalex-snapshot
Thinking Longer, Not Larger: Enhancing Software Engineering Agents via Scaling Test-Time Compute
inferred← citeshttps://doi.org/10.1109/ase63991.2025.00330openalex-snapshot
Exploring Autonomous Agents: A Closer Look at Why They Fail When Completing Tasks
inferred← citeshttps://doi.org/10.1109/bigdata66926.2025.11402412openalex-snapshot
PaVeRL-SQL: Text–to–SQL via Partial–Match Rewards and Verbal Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/cmss69636.2026.11688408openalex-snapshot
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/coginfocom66819.2025.11200869openalex-snapshot
Exploring the Relationship Between Code Metrics and the Ability of Large Language Models to Solve Code Issues
inferred← citeshttps://doi.org/10.1109/compsac69091.2026.00062openalex-snapshot
HGARena: Budgeted Test-Driven Multi-Agent Repository Issue Resolution with Heterogeneous Graph-Augmented Retrieval
inferred← citeshttps://doi.org/10.1109/cscwd68734.2026.11582519openalex-snapshot
Tool Context Adaptation for Agentic Retrieval-Augmented Generation
inferred← citeshttps://doi.org/10.1109/dsa66321.2025.00021openalex-snapshot
Review of Large Language Model-Based Software Fault Localization Techniques
inferred← citeshttps://doi.org/10.1109/ibi68858.2026.11604072openalex-snapshot
Benchmarking Open-Weight LLMs for Security Backporting
inferred← citeshttps://doi.org/10.1109/icaiset66439.2026.11542057openalex-snapshot
From AI Drag to AI Boost: A Preceptorship Framework for Developing Software Engineering Expertise in the Agentic Era
inferred← citeshttps://doi.org/10.1109/icc52391.2025.11160790openalex-snapshot
Toward Non-Expert Customized Congestion Control
inferred← citeshttps://doi.org/10.1109/icse-seip66354.2025.00012openalex-snapshot
Dialogagent: An Auto-Engagement Agent for Code Question Answering Data Production
inferred← citeshttps://doi.org/10.1109/icse-seip66354.2025.00036openalex-snapshot
Human-In-The-Loop Software Development Agents
inferred← citeshttps://doi.org/10.1109/icse55347.2025.00080openalex-snapshot
SpecRover: Code Intent Extraction via LLMs
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/ictiia70925.2026.11717373openalex-snapshot
On-Device GitHub Contributions Audit utilizing Recursive Language Models
inferred← citeshttps://doi.org/10.1109/issrew67781.2025.00067openalex-snapshot
Designing for Inclusion: Human-Centered Multi-Agent Accessibility Repair in Modern Web Applications
inferred← citeshttps://doi.org/10.1109/saner67736.2026.00107openalex-snapshot
Multi-CoLoR: Context-Aware Localization and Reasoning Across Multi-Language Codebases
inferred← citeshttps://doi.org/10.1109/sp63933.2026.00121openalex-snapshot
Detecting Privilege Escalation in Polyglot Microservices via Agentic Program Analysis
inferred← citeshttps://doi.org/10.1109/sse72781.2026.00047openalex-snapshot
Complexity Backpressure for AI Coding Agents: A Cross-Model Study on Substantive Software Tasks
inferred← citeshttps://doi.org/10.1109/tse.2025.3642621openalex-snapshot
AdaCoder: An Adaptive Planning and Multi-Agent Framework for Function-Level Code Generation
inferred← citeshttps://doi.org/10.1109/tse.2026.3667895openalex-snapshot
Agents4PLC: Automating Closed-Loop PLC Code Generation and Verification in Industrial Control Systems Using LLM-Based Agents
inferred← citeshttps://doi.org/10.1109/tse.2026.3668601openalex-snapshot
Bridging Bug Localization and Issue Fixing: A Hierarchical Localization Framework Leveraging Large Language Models
inferred← citeshttps://doi.org/10.1109/tse.2026.3676295openalex-snapshot
Are They All Good? Evaluating the Quality of CoTs in LLM-Based Code Generation
inferred← citeshttps://doi.org/10.1109/vl-hcc65237.2025.00041openalex-snapshot
The Design Space of LLM-Based AI Coding Assistants: An Analysis of 90 Systems in Academia and Industry
inferred← citeshttps://doi.org/10.1145/3744916.3773137openalex-snapshot
Enhancing Issue Localization Agent with Tool-Interactive Training
inferred← citeshttps://doi.org/10.1145/3744916.3773199openalex-snapshot
TaintP2X: Detecting Taint-Style Prompt-to-Anything Injection Vulnerabilities in LLM-Integrated Applications
inferred← citeshttps://doi.org/10.1145/3744916.3773265openalex-snapshot
From Seed to Scope: Reasoning to Identify Change Impact Sets
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Agent-Based Ensemble Reasoning for Repository-Level Issue Resolution
inferred← citeshttps://doi.org/10.1145/3744916.3787837openalex-snapshot
Heterogeneous Prompting and Execution Feedback for SWE Issue Test Generation and Selection
inferred← citeshttps://doi.org/10.1145/3759425.3763397openalex-snapshot
ClearAgent: Agentic Binary Analysis for Effective Vulnerability Detection
inferred← citeshttps://doi.org/10.1145/3774748.3787606openalex-snapshot
CI-Bench: A Framework for Evaluating Large Language Model Tools on CI Failures
inferred← citeshttps://doi.org/10.1145/3786161.3788456openalex-snapshot
Towards Structured, State-Aware, and Execution-Grounded Reasoning for Software Engineering Agents
inferred← citeshttps://doi.org/10.1145/3786161.3788460openalex-snapshot
Reformulate, Retrieve, Localize: Agents for Repository-Level Bug Localization
inferred← citeshttps://doi.org/10.1145/3786583.3786874openalex-snapshot
Finding the Needle in the Crash Stack: Industrial-Scale Crash Root Cause Localization with AutoCrashFL
inferred← citeshttps://doi.org/10.1145/3786583.3786880openalex-snapshot
Fixing Security Vulnerabilities with Agentic AI in OSS-Fuzz
inferred← citeshttps://doi.org/10.1145/3797064openalex-snapshot
Still Manual? Automated Linter Configuration via DSL-Based LLM Compilation of Coding Standards
inferred← citeshttps://doi.org/10.1145/3797127openalex-snapshot
BackportBench: A Multilingual Benchmark for Automated Patch Backporting
inferred← citeshttps://doi.org/10.1145/3803437.3805209openalex-snapshot
AutoCodeRover: Agentic Program Repair for SonarQube Issues
inferred← citeshttps://doi.org/10.1145/3803437.3805548openalex-snapshot
Reproducible, Explainable, and Effective Evaluations of Agentic AI for Software Engineering
inferred← citeshttps://doi.org/10.1145/3805712.3808544openalex-snapshot
LLM-Oriented Information Retrieval: A Denoising-First Perspective
inferred← citeshttps://doi.org/10.1145/3805760.3814924openalex-snapshot
SWE-Bench+: Enhanced LLM Coding Benchmark
inferred← citeshttps://doi.org/10.1145/3808193openalex-snapshot
iCoRe: An Iterative Correlation-Aware Retriever for Bug Reproduction Test Generation
inferred← citeshttps://doi.org/10.1145/3811825openalex-snapshot
FURINA: A Multi-Agent Framework for Automated Patch Correctness Assessment
inferred← citeshttps://doi.org/10.1145/3821433openalex-snapshot
Streamlining Repository Tasks with Effective Snippet Retrieval
inferred← citeshttps://doi.org/10.1145/3822455.3838767openalex-snapshot
Bridging Feature Models and Users: LLM-Generated Low-Code Configurators for Software Product Lines
inferred← citeshttps://doi.org/10.1145/3830238openalex-snapshot
BLAgent : Agentic RAG for File-Level Bug Localization
inferred← citeshttps://doi.org/10.1145/3832117openalex-snapshot
SWE-PDB: Teaching LLMs to Leverage Debugging Tools via Agentic Training
inferred← citeshttps://doi.org/10.1145/3832290openalex-snapshot
IssueExec: A Test-Driven Approach for Localizing Software Engineering Issues
inferred← citeshttps://doi.org/10.1145/3832783.3834361openalex-snapshot
ATLAS: Agentic Taxonomy of LArge-Scale Software Ecosystems
inferred← citeshttps://doi.org/10.1145/3832783.3834388openalex-snapshot
From Runnable to Shippable: Multi-Agent Test-Driven Development for Generating Full-Stack Web Applications from Requirements
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/10.1145/3832783.3834511openalex-snapshot
Catching Developers in the Flow: Low-Latency Agentic Program Repair at Google Scale
inferred← citeshttps://doi.org/10.1145/3832783.3834536openalex-snapshot
Command Coding: A Methodological Framework for AI-Accelerated Software Development
inferred← citeshttps://doi.org/10.1145/3832783.3834545openalex-snapshot
Let’s Chat about Design: A Transformation-Oriented Viewpoint for LLM-Native Software
inferred← citeshttps://doi.org/10.1145/3832783.3837480openalex-snapshot
SecChain: Operationalizing Security Guidelines for Multi-agent Smart Contract Generation
inferred← citeshttps://doi.org/10.1145/3832783.3837493openalex-snapshot
CiL-Agent: Compiler-in-the-Loop LLM Agent for Memory-Safe C Program Repair
inferred← citeshttps://doi.org/10.1145/3832783.3837521openalex-snapshot
To Think or Not to Think: Evaluating LLM Reasoning and Agents in Vulnerability Detection
inferred← citeshttps://doi.org/10.1145/3832783.3844579openalex-snapshot
From Automated Program Repair to Automated Agent Repair: Why Failed Trajectories Matter
inferred← citeshttps://doi.org/10.1145/3837062.3839368openalex-snapshot
From Code to Low-Code: An LLM-Driven Pipeline for Lifting Code Clones into Reusable Abstractions
inferred← citeshttps://doi.org/10.1145/3840586.3843212openalex-snapshot
The Developer as Curator: A Canvas for Coding Agent Context
inferred← citeshttps://doi.org/10.1145/3843282.3844422openalex-snapshot
Cost-Effective Repository Exploration for Agentic Issue Localization
inferred← citeshttps://doi.org/10.1145/3843282.3844430openalex-snapshot
Schema-Conditioned Next-Tool Prediction for Coding Agents under Interface Drift
inferred← citeshttps://doi.org/10.1145/3843282.3844442openalex-snapshot
Who Should Own the Loop? Harness Decomposition for Small-Model Repository Repair
inferred← citeshttps://doi.org/10.1145/3843776.3844669openalex-snapshot
AnchorRepair: A Reference-Guided Dual-Agent Framework for Code Translation Repair
inferred← citeshttps://doi.org/10.1145/3843776.3844670openalex-snapshot
Failure Explanations: The Missing Abstraction between Debugging and Repair
inferred← citeshttps://doi.org/10.1145/3843779.3844639openalex-snapshot
Ranking Is Not Authority: Executable Context-Routing Contracts for Coding Agents
inferred← citeshttps://doi.org/10.1145/3843782.3844651openalex-snapshot
Software Project Management with LLM-Based Automation: Coordination, Validation, and Governance in Practice
inferred← citeshttps://doi.org/10.1145/3850240openalex-snapshot
EvaLooop : A Self-Consistency-Centered Framework for Assessing Large Language Model Robustness in Programming
inferred← citeshttps://doi.org/10.2139/ssrn.6332149openalex-snapshot
LLM-Based Multi-Agent Systems for Code Generation: A Multi-Vocal Literature Review ⋆
inferred← citeshttps://doi.org/10.2139/ssrn.7275148openalex-snapshot
VulTrigger: Multi-Agent LLM Generation of Downstream Vulnerability-Triggering Tests for Third-Party Libraries
inferred← citeshttps://doi.org/10.33411/ijist/1813openalex-snapshot
From Automation to Autonomy: A Survey of Agentic Workflows in CI/CD Orchestration
inferred← citeshttps://doi.org/10.3390/ai7090353openalex-snapshot
Reassessing One-Round Test-Time Refinement for Code Generation
inferred← citeshttps://doi.org/10.3390/ai7100392openalex-snapshot
Inducing Code Change in LLM Self-Debugging: Effects on Program Repair
inferred← citeshttps://doi.org/10.3390/app16104788openalex-snapshot
Levels of Automated Code Generation (LACG): An Operational Taxonomy for AI-Augmented Software Construction
inferred← citeshttps://doi.org/10.3390/app16136540openalex-snapshot
Large Language Models for UML Class Diagram Modeling: A Preliminary Empirical Evaluation
inferred← citeshttps://doi.org/10.3390/electronics15102222openalex-snapshot
Evaluating Large Language Models in Cybersecurity: A Systematic Taxonomy and Empirical Analysis
inferred← citeshttps://doi.org/10.3390/info17010073openalex-snapshot
Foundation Models in Software Engineering: A Taxonomy, Systematic Review, and In-Depth Analysis of Testing Support
inferred← citeshttps://doi.org/10.5753/sbes.2025.9888openalex-snapshot
A Comparative Study of LLMs for Gherkin Generation
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