| 2024 | A Large Language Model Approach to Code and Privacy Policy Alignment. Gabriel A. Morales, Pragyan K. C, Sadia Jahan, Mitra Bokaei Hosseini, Rocky Slavin |
| 2024 | A Multi-Metric Ranking with Label Correlations Approach for Library Migration Recommendations. Jiancheng Zhang, Qin Luo, Peng Wu |
| 2024 | A Multivocal Mapping Study of MongoDB Smells. Boris Cherry, Jehan Bernard, Thomas Kintziger, Csaba Nagy, Anthony Cleve, Michele Lanza |
| 2024 | ALANCA: Active Learning Guided Adversarial Attacks for Code Comprehension on Diverse Pre-trained and Large Language Models. Dexin Liu, Shikun Zhang |
| 2024 | APIGen: Generative API Method Recommendation. Yujia Chen, Cuiyun Gao, Muyijie Zhu, Qing Liao, Yong Wang, Guoai Xu |
| 2024 | Accurate and Efficient Code Matching Across Android Application Versions Against Obfuscation. Runhan Feng, Zhuohao Zhang, Yetong Zhou, Ziyang Yan, Yuanyuan Zhang |
| 2024 | Adaptoring: Adapter Generation to Provide an Alternative API for a Library. Lars Reimann, Günter Kniesel-Wünsche |
| 2024 | Agile Effort Estimation: Have We Solved the Problem Yet? Insights From the Replication of the GPT2SP Study. Vali Tawosi, Rebecca Moussa, Federica Sarro |
| 2024 | Alternating Between Surrogate Model Construction and Search for Configurations of an Autonomous Delivery System. Chin-Hsuan Sun, Thomas Laurent, Paolo Arcaini, Fuyuki Ishikawa |
| 2024 | Assessing the Security of GitHub Copilot's Generated Code - A Targeted Replication Study. Vahid Majdinasab, Michael Joshua Bishop, Shawn Rasheed, Arghavan Moradi Dakhel, Amjed Tahir, Foutse Khomh |
| 2024 | Autorepairability: A New Software Quality Characteristic. Pongpop Lapvikai, Chaiyong Ragkhitwetsagul, Morakot Choetkiertikul, Yoshiki Higo |
| 2024 | BAFLineDP: Code Bilinear Attention Fusion Framework for Line- Level Defect Prediction. Shaojian Qiu, Huihao Huang, Jianxiang Luo, Yingjie Kuang, Haoyu Luo |
| 2024 | BUMP: A Benchmark of Reproducible Breaking Dependency Updates. Frank Reyes, Yogya Gamage, Gabriel Skoglund, Benoit Baudry, Martin Monperrus |
| 2024 | Benefits and Pitfalls of Token-Level SZZ: An Empirical Study on OSS Projects. Hiroya Watanabe, Masanari Kondo, Eunjong Choi, Osamu Mizuno |
| 2024 | CEDAR: Continuous Testing of Deep Learning Libraries. Danning Xie, Jiannan Wang, Hung Viet Pham, Lin Tan, Yu Guo, Adnan Aziz, Erik Meijer |
| 2024 | COLARE: Commit Classification via Fine-grained Context-aware Representation of Code Changes. Qunhong Zeng, Yuxia Zhang, Zeyu Sun, Yujie Guo, Hui Liu |
| 2024 | Can We Identify Stack Overflow Questions Requiring Code Snippets? Investigating the Cause & Effect of Missing Code Snippets. Saikat Mondal, Mohammad Masudur Rahman, Chanchal K. Roy |
| 2024 | Catch the Butterfly: Peeking into the Terms and Conflicts Among SPDX Licenses. Tao Liu, Chengwei Liu, Tianwei Liu, He Wang, Gaofei Wu, Yang Liu, Yuqing Zhang |
| 2024 | Challenges of Using Pre-trained Models: the Practitioners' Perspective. Xin Tan, Taichuan Li, Ruohe Chen, Fang Liu, Li Zhang |
| 2024 | Code Reviewer Recommendation Based on a Hypergraph with Multiplex Relationships. Yu Qiao, Jian Wang, Can Cheng, Wei Tang, Peng Liang, Yuqi Zhao, Bing Li |
| 2024 | CommitBench: A Benchmark for Commit Message Generation. Maximilian Schall, Tamara Czinczoll, Gerard de Melo |
| 2024 | Comparative Study of Reinforcement Learning in GitHub Pull Request Outcome Predictions. Rinkesh Joshi, Nafiseh Kahani |
| 2024 | Comparing Execution Trace Using Merkle- Tree to Detect Backward Incompatibilities. Atsuhito Yamaoka, Teyon Son, Kazumasa Shimari, Takashi Ishio, Kenichi Matsumoto |
| 2024 | Cryptcoder: An Automatic Code Generator for Cryptographic Tasks in Ethereum Smart Contracts. Libin Xia, Jiashuo Zhang, Che Wang, Zezhong Tan, Jianbo Gao, Zhi Guan, Zhong Chen |
| 2024 | Debloating Feature-Rich Closed-Source Windows Software. Zhen Huang |
| 2024 | Deep Learning Model Reuse in the HuggingFace Community: Challenges, Benefit and Trends. Mina Taraghi, Gianolli Dorcelus, Armstrong Foundjem, Florian Tambon, Foutse Khomh |
| 2024 | Delving into Parameter-Efficient Fine-Tuning in Code Change Learning: An Empirical Study. Shuo Liu, Jacky Keung, Zhen Yang, Fang Liu, Qilin Zhou, Yihan Liao |
| 2024 | Demystifying Faulty Code: Step-by-Step Reasoning for Explainable Fault Localization. Ratnadira Widyasari, Jia Wei Ang, Truong Giang Nguyen, Neil Sharma, David Lo |
| 2024 | Dual Prompt-Based Few-Shot Learning for Automated Vulnerability Patch Localization. Junwei Zhang, Xing Hu, Lingfeng Bao, Xin Xia, Shanping Li |
| 2024 | Engineering Formality and Software Risk in Debian Python Packages. Matthew Gaughan, Kaylea Champion, Sohyeon Hwang |
| 2024 | Enhancing Field Tracking and Interprocedural Analysis to Find More Null Pointer Exceptions. Dongfang Xie, Bihuan Chen, Kaifeng Huang, Yu Wang, Linghao Pan, Zhicheng Chen, Xin Peng |
| 2024 | Essential or Excessive? MINDAEXT: Measuring Data Minimization Practices among Browser Extensions. Yuxi Ling, Yun Hao, Yuyan Wang, Kailong Wang, Guangdong Bai, Jin Song Dong |
| 2024 | Exploring Dependencies Among Inconsistencies to Enhance the Consistency Maintenance of Models. Luciano Marchezan, Wesley K. G. Assunção, Edvin Herac, Saad Shafiq, Alexander Egyed |
| 2024 | Exploring Strategies for Guiding Symbolic Analysis with Machine Learning Prediction. Mingyue Yang, David Lie, Nicolas Papernot |
| 2024 | Extending Refactoring Detection to Kotlin: A Dataset and Comparative Study. Iman Hemati Moghadam, Mohammad Mehdi Afkhami, Parsa Kamalipour, Vadim Zaytsev |
| 2024 | Fast Choreography of Cross-DevOps Reconfiguration with Ballet: A Multi-Site OpenStack Case Study. Jolan Philippe, Antoine Omond, Hélène Coullon, Charles Prud'homme, Issam Raïs |
| 2024 | Flakyrank: Predicting Flaky Tests Using Augmented Learning to Rank. Jiaguo Wang, Yan Lei, Maojin Li, Guanyu Ren, Huan Xie, Shifeng Jin, Junchao Li, Jian Hu |
| 2024 | From Refactoring to Migration: a Quality-Driven Strategy for Microservices Adoption. Roberta Capuano, Henry Muccini, Fabio Vaccaro |
| 2024 | Generative Artificial Intelligence for Test-Driven Development: GAI4- TDD. Pietro Cassieri, Simone Romano, Giuseppe Scanniello |
| 2024 | Gloss: Guiding Large Language Models to Answer Questions from System Logs. Shaohan Huang, Yi Liu, Jiaxing Qi, Jing Shang, Zhiwen Xiao, Carol J. Fung, Zhihui Wu, Hailong Yang, Zhongzhi Luan, Depei Qian |
| 2024 | Guiding ChatGPT for Better Code Generation: An Empirical Study. Chao Liu, Xuanlin Bao, Hongyu Zhang, Neng Zhang, Haibo Hu, Xiaohong Zhang, Meng Yan |
| 2024 | How Dataflow Diagrams Impact Software Security Analysis: an Empirical Experiment. Simon Schneider, Nicolás E. Díaz Ferreyra, Pierre-Jean Quéval, Georg Simhandl, Uwe Zdun, Riccardo Scandariato |
| 2024 | IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2024, Rovaniemi, Finland, March 12-15, 2024 |
| 2024 | Immersive Software Archaeology: Exploring Software Architecture and Design in Virtual Reality. Adrian Hoff, Christoph Seidl, Michele Lanza |
| 2024 | Investigating Markers and Drivers of Gender Bias in Machine Translations. Peter J. Barclay, Ashkan Sami |
| 2024 | Investigating and Detecting Silent Bugs in PyTorch Programs. Shuo Hong, Hailong Sun, Xiang Gao, Shin Hwei Tan |
| 2024 | JNFuzz-Droid: A Lightweight Fuzzing and Taint Analysis Framework for Android Native Code. Jianchao Cao, Fan Guo, Yanwen Qu |
| 2024 | Labelrepair: Sequence Labelling for Compilation Errors Repair. Zhenyu Wu, Deheng Yang, Yan Lei, Huan Xie, Minghua Tang, Maojin Li |
| 2024 | Learning Defect Prediction from Unrealistic Data. Kamel Alrashedy, Vincent J. Hellendoorn, Alessandro Orso |
| 2024 | List Comprehension Versus for Loops Performance in Real Python Projects: Should we Care? Cyrine Zid, François Belias, Massimiliano Di Penta, Foutse Khomh, Giuliano Antoniol |
| 2024 | LogLead - Fast and Integrated Log Loader, Enhancer, and Anomaly Detector. Mika V. Mäntylä, Yuqing Wang, Jesse Nyyssölä |
| 2024 | LogPM: Character-Based Log Parser Benchmark. Shayan Hashemi, Jesse Nyyssölä, Mika V. Mäntylä |
| 2024 | MicroOps: Rapid Microservice Data Simulation and AIOps Model Development Platform. Yuewei Li, Zhigang Wang, Qi Qi, Yuhan Jing, Jinming Wu, Zhikang Wu, Yan Lu, Chengsen Wang, Xingyu Wang, Jingyu Wang |
| 2024 | Multiple Targets Directed Greybox Fuzzing: From Reachable to Exploited. Xinglin Yu, Hongliang Liang, Chunlin Wang |
| 2024 | Navigating Confidentiality in Test Automation: A Case Study in LLM Driven Test Data Generation. Hrishikesh Karmarkar, Supriya Agrawal, Avriti Chauhan, Pranav Shete |
| 2024 | Navigating Expertise in Configurable Software Systems through the Maze of Variability. Karolina Milano, Bruno B. P. Cafeo |
| 2024 | OCRCL: Online Contrastive Learning for Root Cause Localization of Business Incidents. Xiaosong Huang, Hongyi Liu, Yifan Wu, Yujin Zhao, Changlong Wu, Songlin Zhang, Ling Jiang, Tong Jia, Ying Li, Zhonghai Wu |
| 2024 | On The Effectiveness of One-Class Support Vector Machine in Different Defect Prediction Scenarios. Rebecca Moussa, Danielle Azar, Federica Sarro |
| 2024 | On the Hunt for Invalid Objects: Exploring the Object State Space with Program Mutants. Jan H. Boockmann, Gerald Lüttgen |
| 2024 | On the Prevalence, Co-occurrence, and Impact of Infrastructure-as-Code Smells. Narjes Bessghaier, Mahi Begoug, Chemseddine Mebarki, Ali Ouni, Mohammed Sayagh, Mohamed Wiem Mkaouer |
| 2024 | On the Stability and Applicability of Deep Learning in Fault Localization. Viktor Csuvik, Roland Aszmann, Árpád Beszédes, Ferenc Horváth, Tibor Gyimóthy |
| 2024 | On the Usefulness of Python Structural Pattern Matching: An Empirical Study. Norbert Vándor, Gábor Antal, Péter Hegedüs, Rudolf Ferenc |
| 2024 | OppropBERL: A GNN and BERT-Style Reinforcement Learning-Based Type Inference. Piyush Jha, Werner Dietl |
| 2024 | Osmy: A Tool for Periodic Software Vulnerability Assessment and File Integrity Verification using SPDX Documents. Rio Kishimoto, Tetsuya Kanda, Yuki Manabe, Katsuro Inoue, Yoshiki Higo |
| 2024 | PIPELINEASCODE: A CI/CD Workflow Management System through Configuration Files at ByteDance. Xianhao Jin, Yifei Feng, Chen Wang, Yang Liu, Yongning Hu, Yufei Gao, Kun Xia, Luchuan Guo |
| 2024 | PMDET: Automated Detection Tool of Android Parcel Mismatch. Yunfan Zhan, Qidan He, Yijun Wang, Xiuzhen Chen |
| 2024 | PatchBert: Continuous Stable Patch Identification for Linux Kernel via Pre-trained Model Fine-tuning. Rongkai Liu, Heyuan Shi, Yongchao Zhang, Runzhe Wang, Yuheng Shen, Yuao Chen, Jing Luo, Xiaohai Shi, Chao Hu, Yu Jiang |
| 2024 | Practical Software Development: Leveraging AI for Precise Cost Estimation in Lump-Sum EPC Projects. Rimma Dzhusupova, Mina Ya-alimadad, Vasil Shteriyanov, Jan Bosch, Helena Holmström Olsson |
| 2024 | PredRacer: Predictively Detecting Data Races in Android Applications. Xin Guo, Xiaofang Qi, Yanhui Li, Chao Wu |
| 2024 | Predicting Line-Level Defects by Capturing Code Contexts with Hierarchical Transformers. Parvez Mahbub, Mohammad Masudur Rahman |
| 2024 | RADig-X: a Tool for Regressions Analysis of User Digital Experience. Federico Di Menna, Vittorio Cortellessa, Maurizio Lucianelli, Luca Sardo, Luca Traini |
| 2024 | ReCo: A Modular Neural Framework for Automatically Recommending Connections in Software Models. Haoyu Liu, Yunwei Dong, Qiao Ke, Zhiyang Zhou |
| 2024 | ReIFunc: Identifying Recurring Inline Functions in Binary Code. Wei Lin, Qingli Guo, Dongsong Yu, Jiawei Yin, Qi Gong, Xiaorui Gong |
| 2024 | Reducing False Positives of Static Bug Detectors Through Code Representation Learning. Yixin Yang, Ming Wen, Xiang Gao, Yuting Zhang, Hailong Sun |
| 2024 | Refining GPT-3 Embeddings with a Siamese Structure for Technical Post Duplicate Detection. Xingfang Wu, Heng Li, Nobukazu Yoshioka, Hironori Washizaki, Foutse Khomh |
| 2024 | SMEAGOL: A Static Code Smell Detector for MongoDB. Boris Cherry, Csaba Nagy, Michele Lanza, Anthony Cleve |
| 2024 | SWAT4J: Generating System Call Allowlist for Java Container Attack Surface Reduction. Yijiang Xu, Muxian Zhou, Qing Gao, Shikun Zhang, Zhonghai Wu |
| 2024 | Scopeo: an Object-Centric Debugging Approach for Exploring Object-Oriented Programs. Valentin Bourcier, Steven Costiou |
| 2024 | Self-Admitted Technical Debts Identification: How Far Are We? Hao Gu, Shichao Zhang, Qiao Huang, Zhifang Liao, Jiakun Liu, David Lo |
| 2024 | Semantic Modeling of Architecture Decision Records to Enable AI-based Analysis. Aleksei Karetnikov, Lisa Ehrlinger, Georg Buchgeher, Verena Geist |
| 2024 | Sentiment of Technical Debt Security Questions on Stack Overflow: A Replication Study. Jarl Jansen, Nathan Cassee, Alexander Serebrenik |
| 2024 | Shrec: a Sre Behaviour Knowledge Graph Model for Shell Command Recommendations. Andrea Tonon, Bora Caglayan, MingXue Wang, Peng Hu, Fei Shen, Puchao Zhang |
| 2024 | Software Architecture Reconstruction for Microservice Systems Using Static Analysis via GraalVM Native Image. Richard Hutcheson, Austin Blanchard, Noah Lambaria, Jack Hale, David Kozak, Amr S. Abdelfattah, Tomás Cerný |
| 2024 | Sources of Underproduction in Open Source Software. Kaylea Champion, Benjamin Mako Hill |
| 2024 | SparseCoder: Identifier-Aware Sparse Transformer for File- Level Code Summarization. Yanlin Wang, Yanxian Huang, Daya Guo, Hongyu Zhang, Zibin Zheng |
| 2024 | Supporting Error Chains in Static Analysis for Precise Evaluation Results and Enhanced Usability. Anna-Katharina Wickert, Michael Schlichtig, Marvin Vogel, Lukas Winter, Mira Mezini, Eric Bodden |
| 2024 | Sustainability Forecasting for Deep Learning Packages. Junxiao Han, Yunkun Wang, Zhongxin Liu, Lingfeng Bao, Jiakun Liu, David Lo, Shuiguang Deng |
| 2024 | T-FREX: A Transformer-based Feature Extraction Method from Mobile App Reviews. Quim Motger, Alessio Miaschi, Felice Dell'Orletta, Xavier Franch, Jordi Marco |
| 2024 | TLS-DeepDiffer: Message Tuples-Based Deep Differential Fuzzing for TLS Protocol Implementations. Zhen Zhao, Xiangpu Song, Qiuyu Zhong, Yingpei Zeng, Chengyu Hu, Shanqing Guo |
| 2024 | Testing Constraint Checking Implementations via Principled Metamorphic Transformations. Mingchen Gao, Huiyan Wang, Chang Xu |
| 2024 | The Limits of the Identifiable: Challenges in Python Version Identification with Deep Learning. Marcus Gerhold, Lola Solovyeva, Vadim Zaytsev |
| 2024 | Towards Effective and Efficient Error Handling Code Fuzzing Based on Software Fault Injection. Kang Chen, Ming Wen, Haoxiang Jia, Rongxin Wu, Hai Jin |
| 2024 | Towards Efficient Program Repair with APR Tools Based on Genetic Algorithms. Kanon Harada, Katsuhisa Maruyama |
| 2024 | Towards Generating Maintainable and Comprehensible API Code Examples. Seham Alharbi, Dimitris S. Kolovos, Nicholas Matragkas |
| 2024 | Towards Inter-Service Data Flow Analysis of Serverless Applications. Giuseppe Raffa, Jorge Blasco, Daniel O'Keeffe, Santanu Kumar Dash |
| 2024 | Towards Minimum Latency in Cloud-Native Applications via Service-Characteristic- Aware Microservice Deployment. Ru Xie, Liming Wang, Chen Song |
| 2024 | TraceJIT: Evaluating the Impact of Behavioral Code Change on Just-In-Time Defect Prediction. Issei Morita, Yutaro Kashiwa, Masanari Kondo, Jeongju Sohn, Shane McIntosh, Yasutaka Kamei, Naoyasu Ubayashi |
| 2024 | Understanding Android OS Forward Compatibility Support for Legacy Apps: A Data-Driven Analysis. Shuang Li, Rui Li, Yifan Yu, Kailun Yan, Shishuai Yang, Wenrui Diao |
| 2024 | Understanding and Improving Change Risk Detection in Practice. Yifan Wu, Yunpeng Wang, Jianguo Li, Ying Li, Bingxu Chai, Wei Jiang |
| 2024 | Understanding the Performance-Energy Tradeoffs of Object-Relational Mapping Frameworks. Alexandre Bonvoisin, Clément Quinton, Romain Rouvoy |
| 2024 | Use the Forks, Look! Visualizations for Exploring Fork Ecosystems. Siyue Chen, Loek Cleophas, Sandro Schulze, Jacob Krüger |
| 2024 | Using Large Language Models for Commit Message Generation: A Preliminary Study. Linghao Zhang, Jingshu Zhao, Chong Wang, Peng Liang |
| 2024 | Visual Assurance in Refactoring Through Trace Equivalence of Control Flow Graphs. Céline Deknop, Johan Fabry, Kim Mens, Vadim Zaytsev |
| 2024 | WASMDYPA: Effectively Detecting WebAssembly Bugs via Dynamic Program Analysis. Wenlong Zheng, Baojian Hua |
| 2024 | Web API Change-Proneness Prediction. Rediana Koçi, Xavier Franch, Petar Jovanovic, Alberto Abelló |
| 2024 | gFaaS: Enabling Generic Functions in Serverless Computing. Mohak Chadha, Paul Wieland, Michael Gerndt |