Suchergebnisse - "automated code refactoring"

Reducing Novice Programmer's Mental Burden: Improving Code Comprehension via Cognitive-Load Aware Automated Code Refactoring

Autoren: Anonymous, Anonymous

ValMaker: Facilitating Value-Type Adoption in Java through Automated Code Refactoring

ValMaker: Facilitating Value-Type Adoption in Java through Automated Code Refactoring

RefactorGPT: a ChatGPT-based multi-agent framework for automated code refactoring

Autoren: Muhammed Abdulhamid Karabiyik

Quelle: PeerJ Computer Science, Vol 11, p e3257 (2025)

Schlagwörter: ChatGPT, Code refactoring, Multi-agent systems, Software automation, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: https://peerj.com/articles/cs-3257.pdf; https://peerj.com/articles/cs-3257/; https://doaj.org/toc/2376-5992

Zugangs-URL: https://doaj.org/article/595443216b6f43bc8fe62cb926033289

MUARF: Leveraging Multi-Agent Workflows for Automated Code Refactoring

Autoren: Yisen Xu

Quelle: 2025 IEEE/ACM 47th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion). :226-227

Review of Automated Code Refactoring of C# Programs

Autoren: Anna Derezinska Dawid Sygocki

Quelle: Annals of computer science and information systems, Vol 35, Pp 937-941 (2023)

Schlagwörter: Electronic computers. Computer science, Information technology, QA75.5-76.95, T58.5-58.64

Zugangs-URL: https://doaj.org/article/dccf2dd4ac404ea38f316460c2dc16c6

Automated Code Refactoring upon Database-Schema Changes in Web Applications

Autoren: Junwen Yang Xie, Sophie Lu, Shan

Quelle: 2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE). :1262-1265

Schlagwörter: web applications, schema change, refactor, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://zenodo.org/record/5276127/files/ASE_schema_migration.pdf

Automated code refactoring using a knowledge base and logical rules

Quelle: Scientific Bulletin of UNFU; Vol 34 No 2 (2024): Scientific Bulletin of UNFU; 87-93; 2519-2477; 1994-7836; 10.36930/403402

Index Begriffe: software, source code, ontology, model, formalized knowledge representation, info:eu-repo/semantics/article, info:eu-repo/semantics/publishedVersion

URL: https://nv.nltu.edu.ua/index.php/journal/article/view/2584
https://nv.nltu.edu.ua/index.php/journal/article/view/2584/2591
https://nv.nltu.edu.ua/index.php/journal/article/view/2584/2591

RefactorGPT: a ChatGPT-based multi-agent framework for automated code refactoring.

Autoren: Karabiyik, Muhammed Abdulhamid

Quelle: PeerJ Computer Science; Oct2025, p1-28, 28p

Schlagwörter: SOFTWARE refactoring, CHATGPT, MULTIAGENT systems, COMPUTER software quality control

Using natural language processing techniques for automated code refactoring

Autoren: Alan Barzilay

Automated code refactoring using a knowledge base and logical rules ; Автоматизація рефакторингу коду із використанням бази знань і логічних правил

Autoren: Ткачук, А. В.

Quelle: Scientific Bulletin of UNFU; Том 34 № 2 (2024): Науковий вісник НЛТУ України; 87-93 ; Научный вестник НЛТУ Украины; Том 34 № 2 (2024): Науковий вісник НЛТУ України; 87-93 ; Scientific Bulletin of UNFU; Vol 34 No 2 (2024): Scientific Bulletin of UNFU; 87-93 ; 2519-2477 ; 1994-7836 ; 10.36930/403402

Schlagwörter: software, source code, ontology, model, formalized knowledge representation, програмне забезпечення, початковий код, онтологія, модель, формалізоване подання знань

Dateibeschreibung: application/pdf

Relation: https://nv.nltu.edu.ua/index.php/journal/article/view/2584/2591; https://nv.nltu.edu.ua/index.php/journal/article/view/2584

Verfügbarkeit: https://nv.nltu.edu.ua/index.php/journal/article/view/2584
https://doi.org/10.36930/40340211

Automating SQL Injection and Cross-Site Scripting Vulnerability Remediation in Code

Autoren: Kedar Sambhus Yi Liu

Quelle: Software, Vol 3, Iss 1, Pp 28-46 (2024)

Schlagwörter: QA76.75-76.765, vulnerability mitigation, 0202 electrical engineering, electronic engineering, information engineering, secure design pattern, Computer software, 02 engineering and technology, automated code refactoring

Zugangs-URL: https://doaj.org/article/d15368cd3b3b49d2aaabb9481cd9ccc4

Review of Automated Code Refactoring of C# Programs

Autoren: Derezinska, Anna Sygocki, Dawid

Schlagwörter: code refactoring, unit testing, code quality, code maintenance, test maintenance, C#, refaktoryzacja kodu, jakość kodów, test

Zugangs-URL: http://yadda.icm.edu.pl/baztech/element/bwmeta1.element.baztech-c250ed92-4d16-48ac-b016-e8f8257d6007

CODECLEANER: Elevating Standards with A Robust Data Contamination Mitigation Toolkit

Autoren: Cao, Jialun Chen, Songqiang Zhang, Wuqi et al.

Index Begriffe: Computer Science - Software Engineering, Computer Science - Artificial Intelligence, text

URL: http://arxiv.org/abs/2411.10842

Enhancing Code Quality Through Automated Refactoring Using Transformer-Based Language Models.

Autoren: Lakshmi, A. Sri Sigamany, E. S. Sharmila Traisa, Roopa et al.

Quelle: International Journal of Advanced Computer Science & Applications; 2025, Vol. 16 Issue 9, p545-554, 10p

Thetis-lathe: Guidance on Reducing Residual Safety Obstacle in System Software from Rust Source Codes.

Autoren: Jiang, Renshuang Dong, Pan Ding, Yan et al.

Quelle: ACM Transactions on Embedded Computing Systems; Jul2025, Vol. 24 Issue 4, p1-25, 25p

Schlagwörter: PROGRAMMING languages, SYSTEM safety, SOFTWARE development tools, ENGINEERING inspection, MATHEMATICAL optimization, DEFECT tracking (Computer software development), COMPUTER operating systems

Replication package for Automated Extract Method Refactoring with Open-Source LLMs

Autoren: Sivajeet Chand

Schlagwörter: Automated software engineering, Empirical software engineering, Programming languages, Extract Method, Refactoring, LLMs

Verfügbarkeit: https://doi.org/10.6084/m9.figshare.29645171.v1
https://figshare.com/articles/dataset/Replication_package_for_Automated_Extract_Method_Refactoring_with_Open-Source_LLMs/29645171

Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities.

Autoren: Zhou, Hao Hu, Chengming Yuan, Ye et al.

Quelle: IEEE Communications Surveys & Tutorials; Jun2025, Vol. 27 Issue 3, p1955-2005, 51p

DETERMINING THE CAPABILITIES OF GENERATIVE ARTIFICIAL INTELLIGENCE TOOLS TO INCREASE THE EFFICIENCY OF REFACTORING PROCESS.

Alternate Title: ВИЗНАЧЕННЯ МОЖЛИВОСТЕЙ СИСТЕМ ГЕНЕРАТИВНОГО ШТУЧНОГО ІНТЕЛЕКТУ ДЛЯ ПІДВИЩЕННЯ ЕФЕКТИВНОСТІ ПРОЦЕСУ РЕФАКТОРИНГУ. (Ukrainian)

Autoren: Tkachuk, Andrii

Quelle: Technology Audit & Production Reserves; 2025, Vol. 3 Issue 2(83), p6-11, 6p

Schlagwörter: GENERATIVE artificial intelligence, ARTIFICIAL intelligence, SOFTWARE maintenance, SOFTWARE refactoring, COMPUTER software development, SOURCE code

HLSRewriter: Efficient Refactoring and Optimization of C/C++ Code with LLMs for High-Level Synthesis

Autoren: Kangwei Xu Grace Li Zhang Xunzhao Yin et al.

Quelle: ACM Transactions on Design Automation of Electronic Systems.

Schlagwörter: ddc

Dateibeschreibung: application/pdf

Zugangs-URL: https://mediatum.ub.tum.de/doc/1833041/document.pdf