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Large Language Models for Software Engineering: A Systematic Literature Review
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-031-48550-3_17openalex-snapshot
ChatGPT as a Tool for User Story Quality Evaluation: Trustworthy Out of the Box?
inferredcites →https://doi.org/10.1007/978-3-031-55642-5_4openalex-snapshot
ChatGPT Prompt Patterns for Improving Code Quality, Refactoring, Requirements Elicitation, and Software Design
inferredcites →https://doi.org/10.1007/s10515-023-00377-xopenalex-snapshot
Data-driven prototyping via natural-language-based GUI retrieval
inferredcites →https://doi.org/10.1007/s10515-023-00401-0openalex-snapshot
Automatic recognizing relevant fragments of APIs using API references
inferredcites →https://doi.org/10.1007/s10664-010-9150-8openalex-snapshot
A field study of API learning obstacles
inferredcites →https://doi.org/10.1007/s10664-021-09963-7openalex-snapshot
Development of recommendation systems for software engineering: the CROSSMINER experience
inferredcites →https://doi.org/10.1007/s10664-023-10372-1openalex-snapshot
A syntax-guided multi-task learning approach for Turducken-style code generation
inferredcites →https://doi.org/10.1007/s10664-024-10457-5openalex-snapshot
Utilization of pre-trained language models for adapter-based knowledge transfer in software engineering
inferredcites →https://doi.org/10.1007/s10664-024-10594-xopenalex-snapshot
Explainable automated debugging via large language model-driven scientific debugging
inferredcites →https://doi.org/10.1016/j.arthro.2023.01.015openalex-snapshot
ChatGPT, An Artificial Intelligence Chatbot, Is Impacting Medical Literature
inferredcites →https://doi.org/10.1016/j.infsof.2010.12.010openalex-snapshot
Identifying relevant studies in software engineering
inferredcites →https://doi.org/10.1016/j.infsof.2017.04.001openalex-snapshot
Static analysis of android apps: A systematic literature review
inferredcites →https://doi.org/10.1016/j.infsof.2020.106397openalex-snapshot
Quality Assessment in Systematic Literature Reviews: A Software Engineering Perspective
inferredcites →https://doi.org/10.1016/j.infsof.2021.106566openalex-snapshot
Augmenting commit classification by using fine-grained source code changes and a pre-trained deep neural language model
inferredcites →https://doi.org/10.1016/j.infsof.2023.107217openalex-snapshot
BERT- and TF-IDF-based feature extraction for long-lived bug prediction in FLOSS: A comparative study
inferredcites →https://doi.org/10.1016/j.infsof.2024.107423openalex-snapshot
Model driven engineering for machine learning components: A systematic literature review
inferredcites →https://doi.org/10.1016/j.jss.2023.111623openalex-snapshot
CSGVD: A deep learning approach combining sequence and graph embedding for source code vulnerability detection
inferredcites →https://doi.org/10.1016/j.jss.2023.111935openalex-snapshot
Incivility detection in open source code review and issue discussions
inferredcites →https://doi.org/10.1016/j.scico.2023.102994openalex-snapshot
TABASCO: A transformer based contextualization toolkit
inferredcites →https://doi.org/10.1016/j.simpa.2020.100019openalex-snapshot
Kieker: A monitoring framework for software engineering research
inferredcites →https://doi.org/10.1021/acs.est.3c01106openalex-snapshot
Risks and Benefits of Large Language Models for the Environment
inferredcites →https://doi.org/10.1038/s42256-023-00765-8openalex-snapshot
Defending ChatGPT against jailbreak attack via self-reminders
inferredcites →https://doi.org/10.1109/apr59189.2023.00012openalex-snapshot
An Analysis of the Automatic Bug Fixing Performance of ChatGPT
inferredcites →https://doi.org/10.1109/ase.2019.00068openalex-snapshot
An Experience Report of Generating Load Tests Using Log-Recovered Workloads at Varying Granularities of User Behaviour
inferredcites →https://doi.org/10.1109/icse-fose59343.2023.00010openalex-snapshot
Trustworthy and Synergistic Artificial Intelligence for Software Engineering: Vision and Roadmaps
inferredcites →https://doi.org/10.1109/icse.1993openalex-snapshot
Proceedings of 1993 15th International Conference on Software Engineering
inferredcites →https://doi.org/10.1109/icse.2012.6227188openalex-snapshot
How do professional developers comprehend software?
inferredcites →https://doi.org/10.1109/icse.2019.00086openalex-snapshot
A Novel Neural Source Code Representation Based on Abstract Syntax Tree
inferredcites →https://doi.org/10.1109/icse43902.2021.00041openalex-snapshot
Studying the Usage of Text-To-Text Transfer Transformer to Support Code-Related Tasks
inferredcites →https://doi.org/10.1109/icse48619.2023.00013openalex-snapshot
One Adapter for All Programming Languages? Adapter Tuning for Code Search and Summarization
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/icse48619.2023.00181openalex-snapshot
On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilot
inferredcites →https://doi.org/10.1109/icsm.1998openalex-snapshot
Proceedings. International Conference on Software Maintenance (Cat. No. 98CB36272)
inferredcites →https://doi.org/10.1109/icsm.1998.738528openalex-snapshot
Clone detection using abstract syntax trees
inferredcites →https://doi.org/10.1109/icsm.2011.6080780openalex-snapshot
On integrating orthogonal information retrieval methods to improve traceability recovery
inferredcites →https://doi.org/10.1109/icsm.2015.7332508openalex-snapshot
Choosing your weapons: On sentiment analysis tools for software engineering research
inferredcites →https://doi.org/10.1109/icsme.2014.77openalex-snapshot
Towards a Big Data Curated Benchmark of Inter-project Code Clones
inferredcites →https://doi.org/10.1109/icsme46990.2020.00017openalex-snapshot
Sentiment Analysis for Software Engineering: How Far Can Pre-trained Transformer Models Go?
inferredcites →https://doi.org/10.1109/icsme46990.2020.00025openalex-snapshot
Achieving Reliable Sentiment Analysis in the Software Engineering Domain using BERT
inferredcites →https://doi.org/10.1109/icsme52107.2021.00021openalex-snapshot
An Empirical Study on Code Comment Completion
inferredcites →https://doi.org/10.1109/icsme52107.2021.00054openalex-snapshot
Duplicate Bug Report Detection by Using Sentence Embedding and Fine-tuning
inferredcites →https://doi.org/10.1109/icsme55016.2022.00020openalex-snapshot
Evaluation of Context-Aware Language Models and Experts for Effort Estimation of Software Maintenance Issues
inferredcites →https://doi.org/10.1109/icsme55016.2022.00080openalex-snapshot
Using a Nearest-Neighbour, BERT-Based Approach for Scalable Clone Detection
inferredcites →https://doi.org/10.1109/icsme58846.2023.00013openalex-snapshot
GPTCloneBench: A comprehensive benchmark of semantic clones and cross-language clones using GPT-3 model and SemanticCloneBench
inferredcites →https://doi.org/10.1109/icstw55395.2022.00039openalex-snapshot
µBert: Mutation Testing using Pre-Trained Language Models
inferredcites →https://doi.org/10.1109/issrew60843.2023.00059openalex-snapshot
Discriminating Human-authored from ChatGPT-Generated Code Via Discernable Feature Analysis
inferredcites →https://doi.org/10.1109/ms.2009.193openalex-snapshot
What Makes APIs Hard to Learn? Answers from Developers
inferredcites →https://doi.org/10.1109/msr.2017.9openalex-snapshot
Leveraging Automated Sentiment Analysis in Software Engineering
inferredcites →https://doi.org/10.1109/saner60148.2024.00025openalex-snapshot
APIGen: Generative API Method Recommendation
inferredcites →https://doi.org/10.1109/saner60148.2024.00030openalex-snapshot
T-FREX: A Transformer-based Feature Extraction Method from Mobile App Reviews
inferredcites →https://doi.org/10.1109/saner60148.2024.00068openalex-snapshot
SparseCoder: Identifier-Aware Sparse Transformer for File- Level Code Summarization
inferredcites →https://doi.org/10.1109/snams60348.2023.10375400openalex-snapshot
Semantic Compression with Large Language Models
inferredcites →https://doi.org/10.1109/sp46215.2023.10179420openalex-snapshot
Examining Zero-Shot Vulnerability Repair with Large Language Models
inferredcites →https://doi.org/10.1109/tsc.2016.2560165openalex-snapshot
Query Expansion Based on Crowd Knowledge for Code Search
inferredcites →https://doi.org/10.1109/tse.2006.116openalex-snapshot
An Exploratory Study of How Developers Seek, Relate, and Collect Relevant Information during Software Maintenance Tasks
inferredcites →https://doi.org/10.1109/tse.2018.2803055openalex-snapshot
A Systematic Review of Interaction in Search-Based Software Engineering
inferredcites →https://doi.org/10.1109/tse.2020.2995736openalex-snapshot
Automated Expansion of Abbreviations Based on Semantic Relation and Transfer Expansion
inferredcites →https://doi.org/10.1109/tse.2021.3128234openalex-snapshot
An Empirical Study on the Usage of Transformer Models for Code Completion
inferredcites →https://doi.org/10.1109/tse.2021.3135465openalex-snapshot
Making the most of small Software Engineering datasets with modern machine learning
inferredcites →https://doi.org/10.1109/tse.2022.3158252openalex-snapshot
GPT2SP: A Transformer-Based Agile Story Point Estimation Approach
inferredcites →https://doi.org/10.1109/tse.2022.3173346openalex-snapshot
Machine/Deep Learning for Software Engineering: A Systematic Literature Review
inferredcites →https://doi.org/10.1109/tse.2022.3174092openalex-snapshot
SEGRESS: Software Engineering Guidelines for REporting Secondary Studies
inferredcites →https://doi.org/10.1109/tse.2022.3178469openalex-snapshot
On the Validity of Pre-Trained Transformers for Natural Language Processing in the Software Engineering Domain
inferredcites →https://doi.org/10.1109/tse.2022.3178945openalex-snapshot
Learning to Predict User-Defined Types
inferredcites →https://doi.org/10.1109/tse.2022.3183297openalex-snapshot
Using Transfer Learning for Code-Related Tasks
inferredcites →https://doi.org/10.1109/tse.2022.3192755openalex-snapshot
On the Effectiveness of Transfer Learning for Code Search
inferredcites →https://doi.org/10.1109/tse.2022.3201209openalex-snapshot
Flakify: A Black-Box, Language Model-Based Predictor for Flaky Tests
inferredcites →https://doi.org/10.1109/tse.2022.3227559openalex-snapshot
BEQAIN: An Effective and Efficient Identifier Normalization Approach With BERT and the Question Answering System
inferredcites →https://doi.org/10.1109/tse.2023.3255177openalex-snapshot
Invalidator: Automated Patch Correctness Assessment via Semantic and Syntactic Reasoning
inferredcites →https://doi.org/10.1109/tse.2023.3267446openalex-snapshot
MultiPL-E: A Scalable and Polyglot Approach to Benchmarking Neural Code Generation
inferredcites →https://doi.org/10.1109/tse.2023.3310874openalex-snapshot
DexBERT: Effective, Task-Agnostic and Fine-Grained Representation Learning of Android Bytecode
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.2024.3354969openalex-snapshot
APPT: Boosting Automated Patch Correctness Prediction via Fine-Tuning Pre-Trained Models
inferredcites →https://doi.org/10.1109/tse.2024.3361661openalex-snapshot
Stealthy Backdoor Attack for Code Models
inferredcites →https://doi.org/10.1126/science.abq1158openalex-snapshot
Competition-level code generation with AlphaCode
inferredcites →https://doi.org/10.1145/143062openalex-snapshot
0897915046/International Conference on Software Engineering
inferredcites →https://doi.org/10.1145/1706299.1706337openalex-snapshot
From program verification to program synthesis
inferredcites →https://doi.org/10.1145/2491956openalex-snapshot
Proceedings of the 34th ACM SIGPLAN Conference on Programming Language Design and Implementation
inferredcites →https://doi.org/10.1145/2594291.2594321openalex-snapshot
Code completion with statistical language models
inferredcites →https://doi.org/10.1145/2597073openalex-snapshot
Proceedings of the 11th Working Conference on Mining Software Repositories
inferredcites →https://doi.org/10.1145/2597073.2597118openalex-snapshot
Sentiment analysis of commit comments in GitHub: an empirical study
inferredcites →https://doi.org/10.1145/2699688openalex-snapshot
Does Automated Unit Test Generation Really Help Software Testers? A Controlled Empirical Study
inferredcites →https://doi.org/10.1145/2901739openalex-snapshot
Proceedings of the 13th International Conference on Mining Software Repositories
inferredcites →https://doi.org/10.1145/2950290openalex-snapshot
Proceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering
inferredcites →https://doi.org/10.1145/2950290.2950333openalex-snapshot
API code recommendation using statistical learning from fine-grained changes
inferredcites →https://doi.org/10.1145/3034827openalex-snapshot
CASE Tool Support for Variability Management in Software Product Lines
inferredcites →https://doi.org/10.1145/3196321openalex-snapshot
Proceedings of the 26th Conference on Program Comprehension
inferredcites →https://doi.org/10.1145/3203217openalex-snapshot
Proceedings of the 15th ACM International Conference on Computing Frontiers
inferredcites →https://doi.org/10.1145/3238147openalex-snapshot
Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering
inferredcites →https://doi.org/10.1145/3238147.3238191openalex-snapshot
API method recommendation without worrying about the task-API knowledge gap
inferredcites →https://doi.org/10.1145/3238147.3238206openalex-snapshot
Improving automatic source code summarization via deep reinforcement learning
inferredcites →https://doi.org/10.1145/3238147.3238214openalex-snapshot
An automated approach to estimating code coverage measures via execution logs
inferredcites →https://doi.org/10.1145/3238147.3238216openalex-snapshot
Effective API recommendation without historical software repositories
inferredcites →https://doi.org/10.1145/3310273.3321560openalex-snapshot
Capturing source code semantics via tree-based convolution over API-enhanced AST
inferredcites →https://doi.org/10.1145/3324884openalex-snapshot
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering
inferredcites →https://doi.org/10.1145/3324884.3416532openalex-snapshot
Evaluating representation learning of code changes for predicting patch correctness in program repair
inferredcites →https://doi.org/10.1145/3324884.3416591openalex-snapshot
Multi-task learning based pre-trained language model for code completion
inferredcites →https://doi.org/10.1145/3338906openalex-snapshot
Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering
inferredcites →https://doi.org/10.1145/3377811openalex-snapshot
Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering
inferredcites →https://doi.org/10.1145/3377811.3380383openalex-snapshot
Retrieval-based neural source code summarization
inferredcites →https://doi.org/10.1145/3409331openalex-snapshot
Modular Tree Network for Source Code Representation Learning
inferredcites →https://doi.org/10.1145/3446905openalex-snapshot
On the Impact of Sample Duplication in Machine-Learning-Based Android Malware Detection
inferredcites →https://doi.org/10.1145/3460945openalex-snapshot
Proceedings of the 5th ACM SIGPLAN International Symposium on Machine Programming
inferredcites →https://doi.org/10.1145/3485275openalex-snapshot
A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research
inferredcites →https://doi.org/10.1145/3505243openalex-snapshot
A Survey on Deep Learning for Software Engineering
inferredcites →https://doi.org/10.1145/3510003openalex-snapshot
Proceedings of the 44th International Conference on Software Engineering
inferredcites →https://doi.org/10.1145/3510003.3510042openalex-snapshot
Fast changeset-based bug localization with BERT
inferredcites →https://doi.org/10.1145/3510003.3510146openalex-snapshot
Natural attack for pre-trained models of code
inferredcites →https://doi.org/10.1145/3510003.3510157openalex-snapshot
Automated handling of anaphoric ambiguity in requirements
inferredcites →https://doi.org/10.1145/3510003.3510160openalex-snapshot
On the importance of building high-quality training datasets for neural code search
inferredcites →https://doi.org/10.1145/3510003.3510189openalex-snapshot
Where is your app frustrating users?
inferredcites →https://doi.org/10.1145/3510003.3510621openalex-snapshot
Using pre-trained models to boost code review automation
inferredcites →https://doi.org/10.1145/3510003.3511561openalex-snapshot
Using deep learning to generate complete log statements
inferredcites →https://doi.org/10.1145/3520312.3534862openalex-snapshot
A systematic evaluation of large language models of code
inferredcites →https://doi.org/10.1145/3524459openalex-snapshot
Proceedings of the Third International Workshop on Automated Program Repair
inferredcites →https://doi.org/10.1145/3524459.3527350openalex-snapshot
Towards JavaScript program repair with generative pre-trained transformer (GPT-2)
inferredcites →https://doi.org/10.1145/3524610.3527917openalex-snapshot
On the transferability of pre-trained language models for low-resource programming languages
inferredcites →https://doi.org/10.1145/3524610.3527921openalex-snapshot
An exploratory study on code attention in BERT
inferredcites →https://doi.org/10.1145/3528588openalex-snapshot
Proceedings of the 1st International Workshop on Natural Language-based Software Engineering
inferredcites →https://doi.org/10.1145/3528588.3528651openalex-snapshot
Identification of intra-domain ambiguity using transformer-based machine learning
inferredcites →https://doi.org/10.1145/3533767openalex-snapshot
Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis
inferredcites →https://doi.org/10.1145/3533767.3534219openalex-snapshot
CIRCLE: continual repair across programming languages
inferredcites →https://doi.org/10.1145/3533767.3534390openalex-snapshot
An extensive study on pre-trained models for program understanding and generation
inferredcites →https://doi.org/10.1145/3533767.3534396openalex-snapshot
Using pre-trained language models to resolve textual and semantic merge conflicts (experience paper)
inferredcites →https://doi.org/10.1145/3540250openalex-snapshot
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
inferredcites →https://doi.org/10.1145/3540250.3549086openalex-snapshot
Perfect is the enemy of test oracle
inferredcites →https://doi.org/10.1145/3540250.3549099openalex-snapshot
AUGER: automatically generating review comments with pre-training models
inferredcites →https://doi.org/10.1145/3540250.3549153openalex-snapshot
You see what I want you to see: poisoning vulnerabilities in neural code search
inferredcites →https://doi.org/10.1145/3540250.3549175openalex-snapshot
AutoPruner: transformer-based call graph pruning
inferredcites →https://doi.org/10.1145/3544968openalex-snapshot
Deep Learning for Android Malware Defenses: A Systematic Literature Review
inferredcites →https://doi.org/10.1145/3551349openalex-snapshot
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering
inferredcites →https://doi.org/10.1145/3551349.3556898openalex-snapshot
A Light Bug Triage Framework for Applying Large Pre-trained Language Model
inferredcites →https://doi.org/10.1145/3551349.3556955openalex-snapshot
CoditT5: Pretraining for Source Code and Natural Language Editing
inferredcites →https://doi.org/10.1145/3551349.3556964openalex-snapshot
Compressing Pre-trained Models of Code into 3 MB
inferredcites →https://doi.org/10.1145/3551349.3560417openalex-snapshot
PRCBERT: Prompt Learning for Requirement Classification using BERT-based Pretrained Language Models
inferredcites →https://doi.org/10.1145/3564625openalex-snapshot
Proceedings of the 38th Annual Computer Security Applications Conference
inferredcites →https://doi.org/10.1145/3564625.3567985openalex-snapshot
Transformer-Based Language Models for Software Vulnerability Detection
inferredcites →https://doi.org/10.1145/3568812.3603474openalex-snapshot
Evaluating ChatGPT and GPT-4 for Visual Programming
inferredcites →https://doi.org/10.1145/3569934openalex-snapshot
What Is the Intended Usage Context of This Model? An Exploratory Study of Pre-Trained Models on Various Model Repositories
inferredcites →https://doi.org/10.1145/357084.357090openalex-snapshot
A Deductive Approach to Program Synthesis
inferredcites →https://doi.org/10.1145/3576039openalex-snapshot
The Best of Both Worlds: Combining Learned Embeddings with Engineered Features for Accurate Prediction of Correct Patches
inferredcites →https://doi.org/10.1145/3576042openalex-snapshot
Duplicate Bug Report Detection: How Far Are We?
inferredcites →https://doi.org/10.1145/3580305.3599790openalex-snapshot
CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X
inferredcites →https://doi.org/10.1145/3597207openalex-snapshot
CodeEditor : Learning to Edit Source Code with Pre-trained Models
inferredcites →https://doi.org/10.1145/3597503openalex-snapshot
Proceedings of the IEEE/ACM 46th International Conference on Software Engineering
inferredcites →https://doi.org/10.1145/3597503.3608132openalex-snapshot
Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors
inferredcites →https://doi.org/10.1145/3597503.3608134openalex-snapshot
Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning
inferredcites →https://doi.org/10.1145/3597503.3608137openalex-snapshot
Prompting Is All You Need: Automated Android Bug Replay with Large Language Models
inferredcites →https://doi.org/10.1145/3597503.3623298openalex-snapshot
CrashTranslator: Automatically Reproducing Mobile Application Crashes Directly from Stack Trace
inferredcites →https://doi.org/10.1145/3597503.3623304openalex-snapshot
KnowLog: Knowledge Enhanced Pre-trained Language Model for Log Understanding
inferredcites →https://doi.org/10.1145/3597503.3623306openalex-snapshot
Exploring the Potential of ChatGPT in Automated Code Refinement: An Empirical Study
inferredcites →https://doi.org/10.1145/3597503.3623326openalex-snapshot
UniLog: Automatic Logging via LLM and In-Context Learning
inferredcites →https://doi.org/10.1145/3597503.3623342openalex-snapshot
Large Language Models for Test-Free Fault Localization
inferredcites →https://doi.org/10.1145/3597503.3623345openalex-snapshot
Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection
inferredcites →https://doi.org/10.1145/3597503.3623349openalex-snapshot
Fine-SE: Integrating Semantic Features and Expert Features for Software Effort Estimation
inferredcites →https://doi.org/10.1145/3597503.3639158openalex-snapshot
Semantic-Enhanced Static Vulnerability Detection in Baseband Firmware
inferredcites →https://doi.org/10.1145/3597503.3639183openalex-snapshot
Automatic Semantic Augmentation of Language Model Prompts (for Code Summarization)
inferredcites →https://doi.org/10.1145/3597503.3639184openalex-snapshot
PyTy: Repairing Static Type Errors in Python
inferredcites →https://doi.org/10.1145/3597926.3598067openalex-snapshot
Large Language Models Are Zero-Shot Fuzzers: Fuzzing Deep-Learning Libraries via Large Language Models
inferredcites →https://doi.org/10.1145/3597926.3598092openalex-snapshot
RefBERT: A Two-Stage Pre-trained Framework for Automatic Rename Refactoring
inferredcites →https://doi.org/10.1145/3597926.3598135openalex-snapshot
How Effective Are Neural Networks for Fixing Security Vulnerabilities
inferredcites →https://doi.org/10.1145/3607188openalex-snapshot
API Entity and Relation Joint Extraction from Text via Dynamic Prompt-tuned Language Model
inferredcites →https://doi.org/10.1145/3607199.3607242openalex-snapshot
DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection
inferredcites →https://doi.org/10.1145/3611643openalex-snapshot
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
inferredcites →https://doi.org/10.1145/3611643.3613083openalex-snapshot
Getting pwn’d by AI: Penetration Testing with Large Language Models
inferredcites →https://doi.org/10.1145/3611643.3616243openalex-snapshot
Baldur: Whole-Proof Generation and Repair with Large Language Models
inferredcites →https://doi.org/10.1145/3611643.3616244openalex-snapshot
On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code
inferredcites →https://doi.org/10.1145/3611643.3616256openalex-snapshot
RAP-Gen: Retrieval-Augmented Patch Generation with CodeT5 for Automatic Program Repair
inferredcites →https://doi.org/10.1145/3611643.3616271openalex-snapshot
Copiloting the Copilots: Fusing Large Language Models with Completion Engines for Automated Program Repair
inferredcites →https://doi.org/10.1145/3611643.3616304openalex-snapshot
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inferredcites →https://doi.org/10.1145/3611643.3616306openalex-snapshot
Self-Supervised Query Reformulation for Code Search
inferredcites →https://doi.org/10.1145/3611643.3616323openalex-snapshot
Natural Language to Code: How Far Are We?
inferredcites →https://doi.org/10.1145/3611643.3616338openalex-snapshot
Pre-training Code Representation with Semantic Flow Graph for Effective Bug Localization
inferredcites →https://doi.org/10.1145/3611643.3616350openalex-snapshot
Multilingual Code Co-evolution using Large Language Models
inferredcites →https://doi.org/10.1145/3611643.3616355openalex-snapshot
Log Parsing with Generalization Ability under New Log Types
inferredcites →https://doi.org/10.1145/3617555.3617874openalex-snapshot
The FormAI Dataset: Generative AI in Software Security through the Lens of Formal Verification
inferredcites →https://doi.org/10.1145/3625549.3658689openalex-snapshot
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inferredcites →https://doi.org/10.1145/3632745openalex-snapshot
PTM-APIRec: Leveraging Pre-trained Models of Source Code in API Recommendation
inferredcites →https://doi.org/10.1145/3639478.3643119openalex-snapshot
Automatic Generation of Test Cases based on Bug Reports: a Feasibility Study with Large Language Models
inferredcites →https://doi.org/10.1145/3641289openalex-snapshot
A Survey on Evaluation of Large Language Models
inferredcites →https://doi.org/10.1145/3641540openalex-snapshot
On the Reliability and Explainability of Language Models for Program Generation
inferredcites →https://doi.org/10.1145/3641542openalex-snapshot
RAPID: Zero-Shot Domain Adaptation for Code Search with Pre-Trained Models
inferredcites →https://doi.org/10.1145/3643916.3644408openalex-snapshot
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inferredcites →https://doi.org/10.1145/3664606openalex-snapshot
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inferredcites →https://doi.org/10.1145/3691620.3695020openalex-snapshot
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inferredcites →https://doi.org/10.1145/3702979openalex-snapshot
ZS4C: Zero-Shot Synthesis of Compilable Code for Incomplete Code Snippets Using LLMs
inferredcites →https://doi.org/10.1145/3708518openalex-snapshot
Explaining Explanations: An Empirical Study of Explanations in Code Reviews
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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ASTH agent: Aviation software testing hierarchy agent for test case generation
inferred← citeshttps://doi.org/10.1016/j.cogsys.2025.101409openalex-snapshot
Eliciting problem specifications for LLM-Modulo cognitive systems
inferred← citeshttps://doi.org/10.1016/j.cola.2025.101367openalex-snapshot
Toward efficient vibe coding: An LLM-based agent for low-code software development
inferred← citeshttps://doi.org/10.1016/j.compag.2026.111996openalex-snapshot
Semantic metadata extraction from crop model components with large language models to facilitate platform interoperability
inferred← citeshttps://doi.org/10.1016/j.compedu.2025.105314openalex-snapshot
The role of teachable agents’ personality traits on student-AI interactions and math learning
inferred← citeshttps://doi.org/10.1016/j.cosrev.2025.100767openalex-snapshot
Insight into code clone management through refactoring: a systematic literature review
inferred← citeshttps://doi.org/10.1016/j.csi.2024.103951openalex-snapshot
The use of large language models for program repair
inferred← citeshttps://doi.org/10.1016/j.csi.2025.104013openalex-snapshot
Collaboration with Generative AI to improve Requirements Change
inferred← citeshttps://doi.org/10.1016/j.csi.2026.104165openalex-snapshot
Large language models for code generation: A survey
inferred← citeshttps://doi.org/10.1016/j.csl.2025.101802openalex-snapshot
Vishing: Detecting social engineering in spoken communication — A first survey & urgent roadmap to address an emerging societal challenge
inferred← citeshttps://doi.org/10.1016/j.daai.2026.100102openalex-snapshot
Engineering design collaborative workflows for research software engineering through a multi-agent framework
inferred← citeshttps://doi.org/10.1016/j.datak.2025.102452openalex-snapshot
Conceptual design of multidimensional cubes with LLMs: An investigation
inferred← citeshttps://doi.org/10.1016/j.energy.2024.131856openalex-snapshot
Exploring large language model for generic and robust state-of-charge estimation of Li-ion batteries: A mixed prompt learning method
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.125524openalex-snapshot
Leveraging Large Language Model ChatGPT for enhanced understanding of end-user emotions in social media feedbacks
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.126479openalex-snapshot
SmartGuard: An LLM-enhanced framework for smart contract vulnerability detection
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.130991openalex-snapshot
CSLLM: Code-Specific Large Language Models—A Survey
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.133242openalex-snapshot
RepoCBench: A benchmark for C-oriented repository-level code generation with large language models and agents
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.133540openalex-snapshot
BabeLLM: A unified taxonomy for NLP-based LLM cybersecurity applications
inferred← citeshttps://doi.org/10.1016/j.fsidi.2024.301859openalex-snapshot
Exploring the potential of large language models for improving digital forensic investigation efficiency
inferred← citeshttps://doi.org/10.1016/j.geoen.2024.212889openalex-snapshot
Geosystems risk and uncertainty: The application of ChatGPT with targeted prompting
inferred← citeshttps://doi.org/10.1016/j.hcc.2024.100211openalex-snapshot
A survey on large language model (LLM) security and privacy: The Good, The Bad, and The Ugly
inferred← citeshttps://doi.org/10.1016/j.infsof.2024.107405openalex-snapshot
Automatic smart contract comment generation via large language models and in-context learning
inferred← citeshttps://doi.org/10.1016/j.infsof.2024.107588openalex-snapshot
DeepMig: A transformer-based approach to support coupled library and code migrations
inferred← citeshttps://doi.org/10.1016/j.infsof.2024.107629openalex-snapshot
Redefining crowdsourced test report prioritization: An innovative approach with large language model
inferred← citeshttps://doi.org/10.1016/j.infsof.2025.107697openalex-snapshot
Formal requirements engineering and large language models: A two-way roadmap
inferred← citeshttps://doi.org/10.1016/j.infsof.2025.107758openalex-snapshot
Benchmarking large language models for automated labeling: The case of issue report classification
inferred← citeshttps://doi.org/10.1016/j.infsof.2025.107764openalex-snapshot
Multi-source cross-domain vulnerability detection based on code pre-trained model
inferred← citeshttps://doi.org/10.1016/j.infsof.2025.107785openalex-snapshot
Translating code with Large Language Models and human-in-the-loop feedback
inferred← citeshttps://doi.org/10.1016/j.infsof.2025.107806openalex-snapshot
Leveraging synthetic trace generation of modeling operations for intelligent modeling assistants using large language models
inferred← citeshttps://doi.org/10.1016/j.infsof.2025.107831openalex-snapshot
Using Large Language Models for multi-level commit message generation for large diffs
inferred← citeshttps://doi.org/10.1016/j.infsof.2025.107832openalex-snapshot
Assisting early-stage software startups with LLMs: Effective prompt engineering and system instruction design
inferred← citeshttps://doi.org/10.1016/j.infsof.2025.107960openalex-snapshot
Using LLMs to enhance code quality: A systematic literature review
inferred← citeshttps://doi.org/10.1016/j.infsof.2026.108030openalex-snapshot
Consensus planning boosts LLM code generation
inferred← citeshttps://doi.org/10.1016/j.infsof.2026.108045openalex-snapshot
Synergistic enhancement of requirement-to-code traceability: A framework combining large language model based data augmentation and an advanced encoder
inferred← citeshttps://doi.org/10.1016/j.infsof.2026.108066openalex-snapshot
Explainability and compliance in AI tools for design artifact generation: A multi-domain practitioner survey in requirements engineering
inferred← citeshttps://doi.org/10.1016/j.infsof.2026.108157openalex-snapshot
Can we trust the source? A systematic review of watermarking and attribution for AI-generated code
inferred← citeshttps://doi.org/10.1016/j.infsof.2026.108171openalex-snapshot
Recommendations for efficient and responsible LLM adoption within industrial software development
inferred← citeshttps://doi.org/10.1016/j.infsof.2026.108176openalex-snapshot
Exploring full and parameter-efficient fine-tuning techniques for transformer-based design pattern detection
inferred← citeshttps://doi.org/10.1016/j.infsof.2026.108251openalex-snapshot
LLM verification-evasion patterns in AI-assisted software development: A taxonomy and implications for developer trust
inferred← citeshttps://doi.org/10.1016/j.infsof.2026.108257openalex-snapshot
The use of Generative AI in technical debt management: A systematic literature review
inferred← citeshttps://doi.org/10.1016/j.infsof.2026.108281openalex-snapshot
Evaluating prompting strategies for LLM-based code generation in offensive security tasks
inferred← citeshttps://doi.org/10.1016/j.infsof.2026.108293openalex-snapshot
A Neuro-Symbolic framework for trustworthy agentic AI in industrial code review
inferred← citeshttps://doi.org/10.1016/j.infsof.2026.108344openalex-snapshot
Pattern Synergistic Repair: Multi-expert LoRA fusion for automated program repair
inferred← citeshttps://doi.org/10.1016/j.infsof.2026.108363openalex-snapshot
Which quality gates actually improve agentic software maintenance? A model-in-the-loop gate-feedback study
inferred← citeshttps://doi.org/10.1016/j.iswa.2026.200626openalex-snapshot
Generative AI for autonomous data analytics
inferred← citeshttps://doi.org/10.1016/j.jiixd.2026.07.001openalex-snapshot
Non-intrusive copyright auditing in DNN-based AI systems: A lifecycle-oriented survey
inferred← citeshttps://doi.org/10.1016/j.jisa.2026.104390openalex-snapshot
Large language model (LLM) for software security: Code analysis, malware analysis, reverse engineering
inferred← citeshttps://doi.org/10.1016/j.jjimei.2024.100310openalex-snapshot
Automating materiality assessment with a data-driven document-based approach
inferred← citeshttps://doi.org/10.1016/j.jnca.2025.104231openalex-snapshot
Real-time tracking railway intruders using multiple-agent cooperated large language models with edge stream processing engine
inferred← citeshttps://doi.org/10.1016/j.jss.2025.112353openalex-snapshot
Automatic instantiation of assurance cases from patterns using large language models
inferred← citeshttps://doi.org/10.1016/j.jss.2025.112381openalex-snapshot
Pytester: Deep reinforcement learning for text-to-testcase generation
inferred← citeshttps://doi.org/10.1016/j.jss.2025.112452openalex-snapshot
Demystifying issues, causes and solutions in LLM open-source projects
inferred← citeshttps://doi.org/10.1016/j.jss.2025.112531openalex-snapshot
Enhancing large language models for text-to-testcase generation
inferred← citeshttps://doi.org/10.1016/j.jss.2025.112541openalex-snapshot
LLMs and Stack Overflow discussions: Reliability, impact, and challenges
inferred← citeshttps://doi.org/10.1016/j.jss.2025.112543openalex-snapshot
Evaluating pre-trained Large Language Models on zero shot prompts for parallelization of source code
inferred← citeshttps://doi.org/10.1016/j.jss.2025.112552openalex-snapshot
Extension decisions in open source software ecosystem
inferred← citeshttps://doi.org/10.1016/j.jss.2025.112569openalex-snapshot
A novel LLM-based classifier for predicting bug-fixing time in Bug Tracking Systems
inferred← citeshttps://doi.org/10.1016/j.jss.2025.112570openalex-snapshot
Correctness assessment of code generated by Large Language Models using internal representations
inferred← citeshttps://doi.org/10.1016/j.jss.2025.112607openalex-snapshot
Generative AI for software architecture. Applications, challenges, and future directions
inferred← citeshttps://doi.org/10.1016/j.jss.2025.112709openalex-snapshot
Assessing UML diagrams by GPT: Implications for education
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