| 2023 | A Comparative Study of Code Clone Genealogies in Test Code and Production Code. Brent van Bladel, Serge Demeyer |
| 2023 | A Comprehensive Study of WebAssembly Runtime Bugs. Yue Wang, Zhide Zhou, Zhilei Ren, Dong Liu, He Jiang |
| 2023 | A Cross-Language Name Binding Recognition and Discrimination Approach for Identifiers. Yue Ju, Yixuan Tang, Jinpeng Lan, Xiangbo Mi, Jingxuan Zhang |
| 2023 | A Hierarchical Topical Modeling Approach for Recommending Repair of Quality Bugs. Rrezarta Krasniqi, Hyunsook Do |
| 2023 | A Method of Component Prediction for Crash Bug Reports Using Component-Based Features and Machine Learning. Yang Xu, Chao Liu, Yong Li, Qiaoluan Xie, Hyun-Deok Choi |
| 2023 | A Multi-Step Learning Approach to Assist Code Review. Oussama Ben Sghaier, Houari A. Sahraoui |
| 2023 | ASTHGCN: Adaptive Spatio-Temporal Hypergraph Convolutional Network for Traffic Forecasting. Chao Zhu, Jing Chen, Rui Zhu, Zhengqiong Wang, Shihan Liu, Jishu Wang |
| 2023 | An Adaptive Partition-Based Approach for Adaptive Random Testing on Real Programs. Yisheng Xia, Weifeng Sun, Meng Yan, Lei Xu, Dan Yang |
| 2023 | An Empirical Comparison of Model-Agnostic Techniques for Defect Prediction Models. Gichan Lee, Scott Uk-Jin Lee |
| 2023 | An Empirical Investigation on the Performance of Domain Adaptation for T5 Code Completion. Daisuke Fukumoto, Yutaro Kashiwa, Toshiki Hirao, Kenji Fujiwara, Hajimu Iida |
| 2023 | An Empirical Study of Smart Contract Decompilers. Xia Liu, Baojian Hua, Yang Wang, Zhizhong Pan |
| 2023 | An Experience Report on Regression-Free Repair of Deep Neural Network Model. Takao Nakagawa, Susumu Tokumoto, Shogo Tokui, Fuyuki Ishikawa |
| 2023 | An Optimized Concurrent Proof of Authority Consensus Protocol. Anjum Nazir, Michael Singh, Giuseppe Destefanis, Jamsheed Memon, Rumyana Neykova, Mohamad Kassab, Roberto Tonelli |
| 2023 | An analysis of the Oracles used in Ethereum's blockchain. Giuseppe Antonio Pierro, Honore Mahugnon |
| 2023 | Analysis and Propagation of Feature Revisions in Preprocessor-based Software Product Lines. Gabriela Karoline Michelon, Wesley K. G. Assunção, Paul Grünbacher, Alexander Egyed |
| 2023 | Analysis of Users' Most Discussed Topics and Trends on Blockchain Technologies and Smart Contracts. Giacomo Ibba, Matteo Vaccargiu |
| 2023 | Architecture Decisions in AI-based Systems Development: An Empirical Study. Beiqi Zhang, Tianyang Liu, Peng Liang, Chong Wang, Mojtaba Shahin, Jiaxin Yu |
| 2023 | Automated Image Reduction for Explaining Black-box Classifiers. Mingyue Jiang, Chengjian Tang, Xiao-Yi Zhang, Yangyang Zhao, Zuohua Ding |
| 2023 | Automatic Code Annotation Generation Based on Heterogeneous Graph Structure. Zhijie Jiang, Haixu Xiong, Yingwei Ma, Yao Zhang, Yan Ding, Yun Xiong, Shanshan Li |
| 2023 | Automatic Identification of Crash-inducing Smart Contracts. Chao Ni, Cong Tian, Kaiwen Yang, David Lo, Jiachi Chen, Xiaohu Yang |
| 2023 | Blockchain oracles for document certification: A case study. Manuel Boi, Andrea Pinna, Maria Ilaria Lunesu |
| 2023 | Boosting Compiler Testing via Eliminating Test Programs with Long-Execution-Time. Jiangchang Wu, Yibiao Yang, Yuming Zhou |
| 2023 | Brigadier: A Datalog-based IAST framework for Node.js Applications. Angel Luis Scull Pupo, Jens Nicolay, Elisa Gonzalez Boix |
| 2023 | Bug or not Bug? Analysing the Reasons Behind Metamorphic Relation Violations. Alejandra Duque-Torres, Dietmar Pfahl, Claus Klammer, Stefan Fischer |
| 2023 | CGORewritter: A better way to use C library in G. Boyao Ding, Yu Zhang, Jinbao Chen, Mingzhe Hu, Qingwei Li |
| 2023 | CSSAM: Code Search via Attention Matching of Code Semantics and Structures. Bo Cai, Yaoxiang Yu, Yi Hu |
| 2023 | Characterize Software Release Notes of GitHub Projects: Structure, Writing Style, and Content. Jianyu Wu, Weiwei Xu, Kai Gao, Jingyue Li, Minghui Zhou |
| 2023 | ClawSAT: Towards Both Robust and Accurate Code Models. Jinghan Jia, Shashank Srikant, Tamara Mitrovska, Chuang Gan, Shiyu Chang, Sijia Liu, Una-May O'Reilly |
| 2023 | Combining Contexts from Multiple Sources for Documentation-Specific Code Example Generation. Junaed Younus Khan, Gias Uddin |
| 2023 | Constructing Temporal Networks of OSS Programming Language Ecosystems. Alexander Agroskin, Elena Lyulina, Sergey Titov, Vladimir Kovalenko |
| 2023 | Cross-Language Call Graph Construction Supporting Different Host Languages. Mingzhe Hu, Qi Zhao, Yu Zhang, Yan Xiong |
| 2023 | D-ACT: Towards Diff-Aware Code Transformation for Code Review Under a Time-Wise Evaluation. Chanathip Pornprasit, Chakkrit Tantithamthavorn, Patanamon Thongtanunam, Chunyang Chen |
| 2023 | Deep Reinforcement Learning Guided Decision Tree Learning For Program Synthesis. Mingrui Yang, Dalin Zhang |
| 2023 | Detecting JavaScript Transpiler Bugs with Grammar-guided Mutation. Le Chen, Zhide Zhou, Xiaochen Li, He Jiang |
| 2023 | Detection of test smells with basic language analysis methods and its evaluation. Florian Maier, Michael Felderer |
| 2023 | Documentation-Guided API Sequence Search without Worrying about the Text-API Semantic Gap. Hongwei Wei, Xiaohong Su, Weining Zheng, Wenxin Tao |
| 2023 | EcoDialTest: Adaptive Mutation Schedule for Automated Dialogue Systems Testing. Xiangchen Shen, Haibo Chen, Jinfu Chen, Jiawei Zhang, Shuhui Wang |
| 2023 | Efficient Generation of Floating-Point Inputs for Compiler-Induced Variability. Hengbiao Yu, Xin Yi, Banghu Yin, Fa Li, Zhenbang Chen, Chun Huang |
| 2023 | Efficient Pattern-based Static Analysis Approach via Regular-Expression Rules. Xiaowen Zhang, Ying Zhou, Shin Hwei Tan |
| 2023 | Enhancing Comprehension and Navigation in Jupyter Notebooks with Static Analysis. Ashwin Prasad Shivarpatna Venkatesh, Jiawei Wang, Li Li, Eric Bodden |
| 2023 | Environment-aware Testing for DNN-based Smart-home WiFi Sensing Systems. Naiyu Zheng, Ting Chen, Chuchu Dong, Yubo Yang, Yuanzhe Li, Yunxin Liu, Yuanchun Li |
| 2023 | Evaluating Learning-to-Rank Models for Prioritizing Code Review Requests using Process Simulation. Lanxin Yang, Bohan Liu, Junyu Jia, Junming Xue, Jinwei Xu, Alberto Bacchelli, He Zhang |
| 2023 | Evaluating and improving transformers pre-trained on ASTs for Code Completion. Marcel Ochs, Krishna Narasimhan, Mira Mezini |
| 2023 | Exploring and Repairing Gender Fairness Violations in Word Embedding-based Sentiment Analysis Model through Adversarial Patches. Lin Sze Khoo, Jia Qi Bay, Ming Lee Kimberly Yap, Mei Kuan Lim, Chun Yong Chong, Zhou Yang, David Lo |
| 2023 | Extended Abstract of A Comparative Study and Analysis of Developer Communications on Slack and Gitter. Esteban Parra, Mohammad Alahmadi, Ashley Ellis, Sonia Haiduc |
| 2023 | Extended Abstract of Candidate Test Set Reduction for Adaptive Random Testing: An Overheads Reduction Technique. Rubing Huang, Haibo Chen, Weifeng Sun, Dave Towey |
| 2023 | Extended Abstract of Combine Sliced Joint Graph with Graph Neural Networks for Smart Contract Vulnerability Detection. Jie Cai, Bin Li, Jiale Zhang, Xiaobing Sun, Bing Chen |
| 2023 | Extended Abstract of E-SC4R: Explaining Software Clustering for Remodularisation. Alvin Jian Jia Tan, Chun Yong Chong, Aldeida Aleti |
| 2023 | Extended Abstract of Graph4Web: A Relation-Aware Graph Attention Network for Web Service Classification. Kunsong Zhao, Jin Liu, Zhou Xu, Xiao Liu, Lei Xue, Zhiwen Xie, Yuxuan Zhou, Xin Wang |
| 2023 | Extended Abstract of SeCNN: A semantic CNN parser for code comment generation. Zheng Li, Yonghao Wu, Bin Peng, Xiang Chen, Zeyu Sun, Yong Liu, Deli Yu |
| 2023 | Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binarie. Ali Al-Kaswan, Toufique Ahmed, Maliheh Izadi, Anand Ashok Sawant, Premkumar T. Devanbu, Arie van Deursen |
| 2023 | HFCommunity: A Tool to Analyze the Hugging Face Hub Community. Adem Ait, Javier Luis Cánovas Izquierdo, Jordi Cabot |
| 2023 | How Dynamic Features Affect API Usages? An Empirical Study of API Misuses in Python Programs. Xincheng He, Xiaojin Liu, Lei Xu, Baowen Xu |
| 2023 | How Robust Is a Large Pre-trained Language Model for Code Generationƒ A Case on Attacking GPT2. Rui Zhu, Cunming Zhang |
| 2023 | IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2023, Taipa, Macao, March 21-24, 2023 Tao Zhang, Xin Xia, Nicole Novielli |
| 2023 | IRP2API: Automated Mapping of Cyber Security Incident Response Plan to Security Tools' APIs. Zarrin Tasnim Sworna, Muhammad Ali Babar, Anjitha Sreekumar |
| 2023 | ISTA: Automatic Test Case Generation and Optimization for Intelligent Systems based on Coverage Analysis. Wei Zheng, Lidan Lin, Xiang Chen, Guoliang Liu, Hao Huang, Jinjin Shen, Qingqing Xu, Yizeng Gu |
| 2023 | Identifying Emergent Leadership in Open Source Software Projects Based on Communication Styles. Yuekai Huang, Ye Yang, Junjie Wang, Wei Zheng, Qing Wang |
| 2023 | Improving Fine-tuning Pre-trained Models on Small Source Code Datasets via Variational Information Bottleneck. Jiaxing Liu, Chaofeng Sha, Xin Peng |
| 2023 | In-Situ Concolic Testing of JavaScript. Zhe Li, Fei Xie |
| 2023 | Insights from Building a GUI Testing Tool. Stefan Fischer |
| 2023 | Intelligent Constraint Classification for Symbolic Execution. Junye Wen, Tarek Mahmud, Meiru Che, Yan Yan, Guowei Yang |
| 2023 | Interpretable Software Defect Prediction Incorporating Multiple Rules. Fengyu Yang, Guangdong Zeng, Fa Zhong, Wei Zheng, Peng Xiao |
| 2023 | Investigating Software Testing and Maintenance of Open-Source Distributed Ledger. Petya Hristova Cvitic, Felix Dobslaw, Francisco Gomes de Oliveira Neto |
| 2023 | JTestMigBench and JTestMigTax: A benchmark and taxonomy for unit test migration. Ajay Kumar Jha, Mohayeminul Islam, Sarah Nadi |
| 2023 | Large Language Models: The Next Frontier for Variable Discovery within Metamorphic Testing? Christos Tsigkanos, Pooja Rani, Sebastian Müller, Timo Kehrer |
| 2023 | Large-Scale Evaluation of Method-Level Bug Localization with FinerBench4BL. Shizuka Tsumita, Shinpei Hayashi, Sousuke Amasaki |
| 2023 | Learning Program Representations with a Tree-Structured Transformer. Wenhan Wang, Kechi Zhang, Ge Li, Shangqing Liu, Anran Li, Zhi Jin, Yang Liu |
| 2023 | Leveraging and Evaluating Automatic Code Summarization for JPA Program Comprehension. Richard Mayer, Michael Moser, Verena Geist |
| 2023 | MLinter: Learning Coding Practices from Examples - Dream or Reality? Corentin Latappy, Quentin Perez, Thomas Degueule, Jean-Rémy Falleri, Christelle Urtado, Sylvain Vauttier, Xavier Blanc, Cédric Teyton |
| 2023 | MixCode: Enhancing Code Classification by Mixup-Based Data Augmentation. Zeming Dong, Qiang Hu, Yuejun Guo, Maxime Cordy, Mike Papadakis, Zhenya Zhang, Yves Le Traon, Jianjun Zhao |
| 2023 | MulCS: Towards a Unified Deep Representation for Multilingual Code Search. Yingwei Ma, Yue Yu, Shanshan Li, Zhouyang Jia, Jun Ma, Rulin Xu, Wei Dong, Xiangke Liao |
| 2023 | Multi-Layer Observability for Fault Localization in Microservices Based Systems. Rupashree Rangaiyengar, Raghavan Komondoor, Raveendra Kumar Medicherla |
| 2023 | Multi-Modal API Recommendation. Ivana Clairine Irsan, Ting Zhang, Ferdian Thung, Kisub Kim, David Lo |
| 2023 | Multimodal Sentiment Analysis under modality deficiency with prototype-Augmentation in software engineering. Baolei Wang, Xuan Zhang, Kunpeng Du, Chen Gao, Linyu Li |
| 2023 | Naturalistic Static Program Analysis. Mohammad Mehdi Pourhashem Kallehbasti, Mohammad Ghafari |
| 2023 | Negative Results of Fusing Code and Documentation for Learning to Accurately Identify Sensitive Source and Sink Methods : An Application to the Android Framework for Data Leak Detection. Jordan Samhi, Maria Kober, Abdoul Kader Kaboré, Steven Arzt, Tegawendé F. Bissyandé, Jacques Klein |
| 2023 | NeuralCCD: Integrating Multiple Features for Neural Coincidental Correctness Detection. Zhou Tao, Yan Lei, Huan Xie, Jian Hu |
| 2023 | On the Effect of Transitivity and Granularity on Vulnerability Propagation in the Maven Ecosystem. Amir M. Mir, Mehdi Keshani, Sebastian Proksch |
| 2023 | Optimizing Continuous Integration by Dynamic Test Proportion Selection. Long Zhang, Binyi Cui, Zhenyu Zhang |
| 2023 | Prediction of Vulnerability Characteristics Based on Vulnerability Description and Prompt Learning. Xiangwei Li, Xiaoning Ren, Yinxing Xue, Zhenchang Xing, Jiamou Sun |
| 2023 | Pseudocode to Code Based on Adaptive Global and Local Information. Qianqian Yu, Zhangjin Huang, Naijie Gu |
| 2023 | RGDroid: Detecting Android Malware with Graph Convolutional Networks against Structural Attacks. Yakang Li, Yikun Hu, Yizhuo Wang, Yituo He, Haining Lu, Dawu Gu |
| 2023 | Revisiting Inter-Class Maintainability Indicators. Lena Gregor, Markus Schnappinger, Alexander Pretschner |
| 2023 | SICUP: A Comment Updating Approach based on Structural Information. Shifan Liu, Zhanqi Cui, Ruilin Xie |
| 2023 | Security Code Recommendations for Smart Contract. Xiaocong Zhou, Yingye Chen, Hanyang Guo, Xiangping Chen, Yuan Huang |
| 2023 | Self-Adaptive Ensemble-based Approach for Software Effort Estimation. Suyash Shukla, Sandeep Kumar |
| 2023 | Self-Admitted Library Migrations in Java, JavaScript, and Python Packaging Ecosystems: A Comparative Study. Haiqiao Gu, Hao He, Minghui Zhou |
| 2023 | Slice-Based Code Change Representation Learning. Fengyi Zhang, Bihuan Chen, Yufei Zhao, Xin Peng |
| 2023 | Solder: Retrofitting Legacy Code with Cross-Language Patches. Ryan Williams, Anthony Gavazzi, Engin Kirda |
| 2023 | Studying and Complementing the Use of Identifiers in Logs. Jianchen Zhao, Yiming Tang, Sneha Sunil, Weiyi Shang |
| 2023 | TADL: Fault Localization with Transformer-based Anomaly Detection for Dynamic Microservice Systems. Yuewei Li, Yan Lu, Jingyu Wang, Qi Qi, Jing Wang, Yingying Wang, Jianxin Liao |
| 2023 | TAG: UML Activity Diagram Deeply Supervised Generation from Business Textural Specification. Rui Zhu, Wenxin Li, Canchang Jin |
| 2023 | Technical Debt Diffuseness in the Apache Ecosystem: A Differentiated Replication. Dario Amoroso d'Aragona, Fabiano Pecorelli, Maria Teresa Baldassarre, Davide Taibi, Valentina Lenarduzzi |
| 2023 | TemLock: A Lightweight Template-based Approach for Fixing Deadlocks Caused by ReentrantLock. Lili Bo, Yanchi Yuan, Xiaobing Sun, Hao Xie, Bin Li |
| 2023 | Test Input Selection for Deep Neural Network Enhancement Based on Multiple-Objective Optimization. Yao Hao, Zhiqiu Huang, Hongjing Guo, Guohua Shen |
| 2023 | Topic Recommendation for GitHub Repositories: How Far Can Extreme Multi-Label Learning Go? Ratnadira Widyasari, Zhipeng Zhao, Thanh Le-Cong, Hong Jin Kang, David Lo |
| 2023 | Towards Automated Code Reviews: Does Learning Code Structure Help? Hong Yi Lin, Patanamon Thongtanunam |
| 2023 | Towards Privacy Preserving Cross Project Defect Prediction with Federated Learning. Hiroki Yamamoto, Dong Wang, Gopi Krishnan Rajbahadur, Masanari Kondo, Yasutaka Kamei, Naoyasu Ubayashi |
| 2023 | Towards Understanding Fixes of SonarQube Static Analysis Violations: A Large-Scale Empirical Study. Ping Yu, Yijian Wu, Jiahan Peng, Jian Zhang, Peicheng Xie |
| 2023 | Towards Understanding the Impacts of Textual Dissimilarity on Duplicate Bug Report Detection. Sigma Jahan, Mohammad Masudur Rahman |
| 2023 | Towards a Large-Scale Empirical Study of Python Static Type Annotations. Xinrong Lin, Baojian Hua, Yang Wang, Zhizhong Pan |
| 2023 | UDA-DP: Unsupervised Domain Adaptation for Software Defect Prediction. Xiaosong Huang, Yifan Wu, Hongyi Liu, Ying Li, Hao Yu, Dadi Guo, Zhonghai Wu |
| 2023 | Understanding the Archived Projects on GitHub. Xiaoya Xia, Shengyu Zhao, Xinran Zhang, Zehua Lou, Wei Wang, Fenglin Bi |
| 2023 | Understanding the Impact of Quantum Noise on Quantum Programs. Zhonghao Pan, Yang Feng, Zhiyuan Li, Yunxin Liu, Yuanchun Li |
| 2023 | WasmA: A Static WebAssembly Analysis Framework for Everyone. Florian Breitfelder, Tobias Roth, Lars Baumgärtner, Mira Mezini |
| 2023 | WasmSlim: Optimizing WebAssembly Binary Distribution via Automatic Module Splitting. Elliott Wen, Jens Dietrich |
| 2023 | Weak Labelling for File-level Source Code Classification. Cezar Sas, Andrea Capiluppi |
| 2023 | xVMP: An LLVM-based Code Virtualization Obfuscator. Xuangan Xiao, Yizhuo Wang, Yikun Hu, Dawu Gu |
| 2023 | µDetector: Automated Intrusion Detection for Microservices. José Flora, Miguel Teixeira, Nuno Antunes |