default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID32nd SANER 2025: Montreal, QC, Canada
- IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2025, Montreal, QC, Canada, March 4-7, 2025. IEEE 2025, ISBN 979-8-3315-3510-0
- Danning Xie, Byoung-Joo Yoo, Nan Jiang, Mijung Kim, Lin Tan, Xiangyu Zhang, Judy S. Lee:
How Effective are Large Language Models in Generating Software Specifications? 1-12 - Yuqi Sha, Feng Jiang, Qiang Hu, Yifan He:
An Ensemble Learning Method Based on Neighborhood Granularity Discrimination Index and Its Application in Software Defect Prediction. 1-12 - Nils Purschke, Sven Kirchner, Alois Knoll:
SpeedGen: Enhancing Code Efficiency through Large Language Model-Based Performance Optimization. 1-12 - Louis Milliken, Sungmin Kang, Shin Yoo:
Beyond pip Install: Evaluating LLM Agents for the Automated Installation of Python Projects. 1-11 - Omar I. Al-Bataineh:
Reduce Before you Repair: Advantages of Combining Program Slicing with Automated Program Repair. 1-6 - Gul Aftab Ahmed, Muslim Chochlov, Abdul Razzaq, James Vincent Patten, Yuanhua Han, Guoxian Lu, Jim Buckley, David Gregg:
Industrial-Scale Neural Network Clone Detection with Disk-Based Similarity Search. 1-11 - Hanan Abdulwahab Siala, Kevin Lano:
Towards Using LLMs in the Reverse Engineering of Software Systems to Object Constraint Language. 1-6 - Zhangqian Bi, Yao Wan, Zhaoyang Chu, Yufei Hu, Junyi Zhang, Hongyu Zhang, Guandong Xu, Hai Jin:
How to Select Pre-Trained Code Models for Reuse? A Learning Perspective. 1-12 - Giordano d'Aloisio, Luca Traini, Federica Sarro, Antinisca Di Marco:
On the Compression of Language Models for Code: An Empirical Study on CodeBERT. 12-23 - Jiaming Zhang, Chang-Ai Sun, Huai Liu
, Sijin Dong:
Can Large Language Models Discover Metamorphic Relations? A Large-Scale Empirical Study. 24-35 - Salimata Sawadogo, Aminata Sabané, Rodrique Kafando, Abdoul Kader Kaboré, Tegawendé F. Bissyandé:
Revisiting the Non-Determinism of Code Generation by the GPT-3.5 Large Language Model. 36-44 - Waleed Abdeen, Michael Unterkalmsteiner, Krzysztof Wnuk, Alessio Ferrari, Panagiota Chatzipetrou:
Language Models to Support Multi-Label Classification of Industrial Data. 45-55 - Joy Krishan Das, Saikat Mondal, Chanchal K. Roy:
Why Do Developers Engage with ChatGPT in Issue-Tracker? Investigating Usage and Reliance on ChatGPT-Generated Code. 68-79 - Ayberk Yasa, Cemhan Kaan Özaltan, Görkem Ayten, Fatih Kaplama, Ömercan Devran, Baykal Mehmet Uçar, Eray Tüzün:
Evaluating ReLink for Traceability Link Recovery in Practice. 80-90 - Takasaburo Fukuda, Takao Nakagawa, Keisuke Miyazaki, Susumu Tokumoto:
Development of Automated Software Design Document Review Methods Using Large Language Models. 91-101 - Vanshika Singh, Caglar Korlu, Wesley K. G. Assunção:
Experiences on Using Large Language Models to Re-Engineer a Legacy System at Volvo Group. 102-112 - Amina Bouaziz, Mohamed Aymen Saied, Mohammed Sayagh, Ali Ouni, Mohamed Wiem Mkaouer:
An Empirical Study on Microservices Deployment Trends, Topics and Challenges in Stack Overflow. 113-123 - Youwei Huang, Sen Fang, Jianwen Li, Bin Hu, Jiachun Tao, Tao Zhang:
Deep Smart Contract Intent Detection. 124-135 - Deli Chen, Chunyang Ye, Hui Zhou, Shanyan Lai, Bo Li:
Enhancing Microservice Migration Transformation from Monoliths with Graph Neural Networks. 136-146 - Ye Liu, Yixuan Liu, Yi Li, Cyrille Artho:
Specification Mining for Smart Contracts with Trace Slicing and Predicate Abstraction. 147-158 - Tomás Cerný, Gabriel Goulis, Amr S. Abdelfattah:
Towards Change Impact Analysis in Microservices-based System Evolution. 159-169 - Gabriele De Vito, Damiano D'Amici, Fabiano Izzo, Filomena Ferrucci, Dario Di Nucci:
LLM-Based Generation of Solidity Smart Contracts from System Requirements in Natural Language: The AstraKode Case. 170-180 - Ruben Opdebeeck, Bram Adams, Coen De Roover:
Analysing Software Supply Chains of Infrastructure as Code: Extraction of Ansible Plugin Dependencies. 181-192 - Qingao Dong, Yuanzhang Lin, Hailong Sun, Xiang Gao:
Enhancing Automated Vulnerability Repair Through Dependency Embedding and Pattern Store. 193-204 - Zhang Zhang, Xinjun Mao, Shangwen Wang, Kang Yang, Tanghaoran Zhang, Fei Gao, Xunhui Zhang:
Improving API Knowledge Comprehensibility: A Context-Dependent Entity Detection and Context Completion Approach Using LLM. 205-216 - Dahan Pan, Yi Xu, Runhan Feng, Donghui Yu, Jiawen Chen, Ya Fang, Yuanyuan Zhang:
Pay Your Attention on Lib! Android Third-Party Library Detection via Feature Language Model. 217-228 - Jiaxin Liu, Yating Zhang, Deze Wang, Yiwei Li, Wei Dong:
THINK: Tackling API Hallucinations in LLMs via Injecting Knowledge. 229-240 - Gabriel Darbord, Nicolas Anquetil, Benoît Verhaeghe, Anne Etien:
A Multi-Language Tool for Generating Unit Tests from Execution Traces. 241-251 - Zhenghao Liu, Li Yuan, Jiexin Wang, Yi Cai:
CSE-WSS: Code Structure Enhancement Framework with Weighted Semantic Similarity for Changeset-Based Bug Localization. 252-263 - Zhixing He, Hao Zhong:
From Bug Reports to Workarounds: The Real-World Impact of Compiler Bugs. 264-275 - Yanru Ding, Yanmei Zhang, Guan Yuan, Shujuan Jiang, Wei Dai, Luciano Baresi:
Optimizing Class Integration Testing with Criticality-Driven Test Order Generation. 276-286 - Ahmed Zaki, Arindam Sharma, Cristian Cadar:
Generating and Contributing Test Cases for C Libraries from Client Code: A Case Study. 287-298 - Dongming Jin, Nianyu Li, Kai Yang, Minghui Zhou, Zhi Jin:
A First Look at Package-to-Group Mechanism: An Empirical Study of the Linux Distributions. 299-309 - Qiaolin Qin, Roozbeh Aghili, Heng Li, Ettore Merlo:
Preprocessing is All You Need: Boosting the Performance of Log Parsers with a General Preprocessing Framework. 310-320 - Ming Zhong, Fang Lv, Lulin Wang, Lei Qiu, Hongna Geng, Huimin Cui, Xiaobing Feng:
Boosting Large Language Models for System Software Retargeting: A Preliminary Study. 321-326 - Dmytro Borysenkov, Adriano Vogel, Sören Henning, Esteban Pérez-Wohlfeil:
Analyzing Logs of Large-Scale Software Systems Using Time Curves Visualization. 327-337 - Chris Parnin, Gustavo Soares, Rahul Pandita, Sumit Gulwani, Jessica Rich, Austin Z. Henley:
Building Your Own Product Copilot: Challenges, Opportunities, and Needs. 338-348 - Sebastian Schneider, Tomas Sujovolsky, Paolo Arcaini, Fuyuki Ishikawa, Truong Vinh Truong Duy:
Filter-based Repair of Semantic Segmentation in Safety-Critical Systems. 349-359 - Xuemeng Cai, Lingxiao Jiang:
Adapting Knowledge Prompt Tuning for Enhanced Automated Program Repair. 360-371 - Leo St. Amour, Eli Tilevich, Muhammad Ali Gulzar:
A Metric for Measuring the Impact of Rare Paths on Program Coverage. 372-382 - Hanxiao Lu, Hongyu Cai, Yiming Liang, Antonio Bianchi, Z. Berkay Celik:
A Progressive Transformer for Unifying Binary Code Embedding and Knowledge Transfer. 383-393 - Andrea Gurioli, Maurizio Gabbrielli, Stefano Zacchiroli:
Is This You, LLM? Recognizing AI-written Programs with Multilingual Code Stylometry. 394-405 - Chi Zhang, Jian Zhang:
StriCT-Bj:A String Constraint Benchmark from Real Java Programs. 418-429 - Rongrong Shi, Yuxin He, Ying Liu, Zonghao Li, Jingxin Su, Haonan Tong:
ALOGO: A Novel and Effective Framework for Online Cross-Project Defect Prediction. 442-453 - Yuqing Wang, Mika V. Mäntylä, Jesse Nyyssölä, Ke Ping, Liqiang Wang:
Cross-System Software Log-based Anomaly Detection Using Meta-Learning. 454-464 - Andrea Tonon, Meng Zhang, Bora Caglayan, Fei Shen, Tong Gui, MingXue Wang, Rong Zhou:
RADICE: Causal Graph Based Root Cause Analysis for System Performance Diagnostic. 465-475 - Gichan Lee, Hansae Ju, Scott Uk-Jin Lee:
Can We Trust the Actionable Guidance from Explainable AI Techniques in Defect Prediction? 476-487 - Shize Zhou, Lirong Fu, Peiyu Liu, Wenhai Wang:
BinEGA: Enhancing DNN-based Binary Code Similarity Detection through Efficient Graph Alignment. 488-499 - Pengfei He, Shaowei Wang, Shaiful Chowdhury, Tse-Hsun Chen:
Evaluating the Effectiveness and Efficiency of Demonstration Retrievers in RAG for Coding Tasks. 500-510 - Egor Shibaev, Denis Sushentsev, Yaroslav Golubev, Aleksandr Khvorov:
Stack Trace Deduplication: Faster, More Accurately, and in More Realistic Scenarios. 511-521 - Jingzi Meng, Yuewu Wang, Lingguang Lei, Jiwu Jing, Pingjian Wang, Chunjing Kou, Peng Wang:
CapAssess: An Endeavor to Assess and Enhance Linux Capabilities Utilization. 533-544 - Soufyane Labsari, Imen Sayar, Nicolas Anquetil, Benoît Verhaeghe, Anne Etien:
Service Extraction from Object-Oriented Monolithic Systems: Supporting Incremental Migration. 545-550 - Yue Liu, Chakkrit Tantithamthavorn, Li Li:
Protect Your Secrets: Understanding and Measuring Data Exposure in VSCode Extensions. 551-562 - Iman Saberi, Amirreza Esmaeili, Fatemeh Hendijani Fard, Fuxiang Chen:
AdvFusion: Adapter-based Knowledge Transfer for Code Summarization on Code Language Models. 563-574 - Xiangchen Wu, Liang Wang, Xianping Tao:
EarlyPR: Early Prediction of Potential Pull-Requests from Forks. 575-586 - Luciana de Q. Leal Gomes, Melina Mongiovi, Sabrina Souto, Everton L. G. Alves:
The Hidden Challenges of Merging: A Tool-Based Exploration. 587-597 - Issam Oukhay, Moataz Chouchen, Ali Ouni, Fatemeh H. Fard:
On the Performance of Large Language Models for Code Change Intent Classification. 598-603 - Hiroto Sugimori, Shinpei Hayashi:
Revisiting Method-Level Change Prediction: A Comparative Evaluation at Different Granularities. 604-614 - Jin Zhang, Maoqi Peng, Yang Zhang:
An Empirical Study of Transformer Models on Automatically Templating GitHub Issue Reports. 615-626 - Atakan Serifoglu, Eray Tüzün:
Uncovering the Challenges: A Study of Corner Cases in Bug-Inducing Commits. 639-644 - Nicole Hoess, Carlos V. Paradis, Rick Kazman, Wolfgang Mauerer:
Does the Tool Matter? Exploring Some Causes of Threats to Validity in Mining Software Repositories. 645-656 - Zhi Chen, Lingxiao Jiang:
Evaluating Software Development Agents: Patch Patterns, Code Quality, and Issue Complexity in Real-World GitHub Scenarios. 657-668 - Henrique Gomes Nunes, Eduardo Figueiredo, Larissa Rocha Soares, Sarah Nadi, Fischer Ferreira, Geanderson E. dos Santos:
Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects. 669-680 - Genevieve Caumartin, Qiaolin Qin, Sharon Chatragadda, Janmitsinh Panjrolia, Heng Li, Diego Elias Costa:
Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study. 681-692 - Bhuwan Paudel, Javier Gonzalez-Huerta, Ehsan Zabardast, Eriks Klotins:
Exploring the Relationship Between Technical Debt and Lead Time: An Industrial Case Study. 693-703 - Yao Shu, Lianyu Zheng, Jinfu Chen, Jifeng Xuan:
Characterizing Logs in Vulnerability Reports: In-Depth Analysis and Security Implications. 704-715 - Haojia Huang, Pengfei Chen, Guangba Yu, Haiyu Huang, Jia Chang, Jun Li, Jian Han:
Conan: Uncover Consensus Issues in Distributed Databases Using Fuzzing-Driven Fault Injection. 716-727 - Pedro Jesús Ruiz Jiménez, Jordan Samhi, Tegawendé F. Bissyandé, Jacques Klein:
Dissecting APKs from Google Play: Trends, Insights and Security Implications. 728-739 - Lei Xiao, Shuo Yang, Wen Chen, Zibin Zheng:
WakeMint: Detecting Sleepminting Vulnerabilities in NFT Smart Contracts. 740-750 - Sushawapak Kancharoendee, Thanat Phichitphanphong, Chanikarn Jongyingyos, Brittany Reid, Raula Gaikovina Kula, Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, Thanwadee Sunetnanta:
On Categorizing Open Source Software Security Vulnerability Reporting Mechanisms on GitHub. 751-756 - Xuancheng Jin, Zhuang Liu, Junwei Zhang, Xing Hu, Xin Xia:
Tracets4J: A Traceable Unit Test Generation Dataset. 757-767 - Shuyao Jiang, Ruiying Zeng, Yangfan Zhou, Michael R. Lyu:
Distinguishability-Guided Test Program Generation for WebAssembly Runtime Performance Testing. 768-779 - Neilson C. L. Ramalho, Érico Augusto da Silva, Higor Amario de Souza, Marcos Lordello Chaim:
Quantum Testing in the Wild: A Case Study with Qiskit Algorithms. 780-785 - Ronnie de Souza Santos, Ítalo Santos, Robson Santos, Cleyton V. C. de Magalhães:
Hidden Figures in Software Engineering: A Replication Study Exploring Undergraduate Software Students' Awareness of Distinguished Scientists from Underrepresented Groups. 786-796 - Swanand Vaishampayan, Muhammad Ali Gulzar, Chris Brown:
Improving Evidence-Based Tech Hiring with GitHub-Supported Resume Matching. 797-808 - Yongqian Sun, Jiaju Wang, Zhengdan Li, Xiaohui Nie, Minghua Ma, Shenglin Zhang, Yuhe Ji, Lu Zhang, Wen Long, Hengmao Chen, Yongnan Luo, Dan Pei:
AIOpsArena: Scenario-Oriented Evaluation and Leaderboard for AIOps Algorithms in Microservices. 809-813 - Alexander Lercher, Clemens Bauer, Christian Macho, Martin Pinzger:
AutoGuard: Reporting Breaking Changes of REST APIs from Java Spring Boot Source Code. 814-818 - Xiaolin Liu, Adel Belkhiri, Mónica Jin, Yi Li, Cyrille Artho:
ContractViz: Extending Eclipse Trace Compass for Smart Contract Transaction Analysis. 819-823 - Aman Swaraj, Neha Gujar, Manashree Kalode, Bhoomi Bonal, Krishna Agarwal, Sandeep Kumar:
DATSO: A Difficulty Assessment Tool for Stack Overflow Questions. 824-828 - Heyuan Shi, Weibo Zhang, Runzhe Wang, Xiaohai Shi, Guoyu Yin, Shijun Chen, Yuhan Chen, Qiang Zhang, Jianzhong Liu, Yuheng Shen:
DragonRadar: Fuzzing Linux Kernel Deployed in Cloud-Native Environment. 829-833 - Jasem Khelifi, Yacine Benzina, Moataz Chouchen, Ali Ouni, Mohammed Sayagh, Salah Bouktif:
GHAminer: An Open Source Tool to Extract GitHub Actions Build Metrics. 834-838 - Xixuan Yang, Tong Jia, Ying Li, Gang Huang:
IFKG: An Intelligent Fault Diagnosis Tool with Knowledge Graph and Generative LLM. 839-843 - Eman Abdullah AlOmar, Catherine DeMario, Roger Shagawat, Brandon Kreiser:
LeakageDetector: An Open Source Data Leakage Analysis Tool in Machine Learning Pipelines. 844-849 - Artur Boronat, Jawad Mustafa:
MDRE-LLM: A Tool for Analyzing and Applying LLMs in Software Reverse Engineering. 850-854 - Md. Siam, Mridha Md. Nafis Fuad, Kazi Sakib:
An Exploratory Study on the Impact of Change-Proneness as a Metric in Black-Box Test Suite Minimization. 855-860 - Jameleddine Hassine:
Evaluating Multi-Modal LLMs for Automatically Recognizing Semantic Elements in UML Use Case Diagram Images. 861-866 - Kaiyan He, Haining Lu, Dawu Gu:
MultiMal: Multimodal Fusion Combining Graph and Entropy Features for Malware Detection. 867-872 - Omar I. Al-Bataineh:
Towards Developing Effective Oracles to Reduce Patch Overfitting in Automated Program Repair. 879-884 - Jukka Ruohonen:
An Empirical Study of Vulnerability Handling Times in CPython. 891-896
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-11-14 22:37 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
