| 2023 | Formalization and Verification of the ICC Mechanism in Android System Using CSP. | Yixiao Lv, Jiaqi Yin, Sini Chen, Huibiao Zhu |
| 2023 | LLaMA-Reviewer: Advancing Code Review Automation with Large Language Models through Parameter-Efficient Fine-Tuning. | Junyi Lu, Lei Yu, Xiaojia Li, Li Yang, Chun Zuo |
| 2023 | An Empirical Analysis of Anomaly Detection Methods for Multivariate Time Series. | Dongwen Li, Shenglin Zhang, Yongqian Sun, Yang Guo, Zeyu Che, Shiqi Chen, Zhenyu Zhong, Minghan Liang, Minyi Shao, Mingjie Li, Shuyang Liu, Yuzhi Zhang, Dan Pei |
| 2023 | Runtime operational design domain monitoring of static road geometry for automated vehicles. | Shiming Liu, Qunli Zhang, Wei Li, Siyun Yao, Yucheng Mu, Zheng Hu |
| 2023 | A Fault Injection and Formal Verification Framework Based on UML Sequence Diagrams. | Hezhen Liu, Jiacheng Yin, Chengqiang Huang, Hao Lan, Zhi Jin, Zheng Zheng, Xun Zhang |
| 2023 | Practical Anomaly Detection over Multivariate Monitoring Metrics for Online Services. | Jinyang Liu, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Cong Feng, Zengyin Yang, Michael R. Lyu |
| 2023 | Hidden-in-Wave: A Novel Idea to Camouflage AI-Synthesized Voices Based on Speaker-Irrelative Features. | Xin Liu, Yuan Tan, Xuan Hai, Qingchen Yu, Qingguo Zhou |
| 2023 | ConvMHSA-SCVD: Enhancing Smart Contract Vulnerability Detection through a Knowledge-Driven and Data-Driven Framework. | Mengliang Li, Xiaoxue Ren, Han Fu, Zhuo Li, Jianling Sun |
| 2023 | foREST: A Tree-based Black-box Fuzzing Approach for RESTful APIs. | Jiaxian Lin, Tianyu Li, Yang Chen, Guangsheng Wei, Jiadong Lin, Sen Zhang, Hui Xu |
| 2023 | CODEC: Cost-Effective Duration Prediction System for Deadline Scheduling in the Cloud. | Haozhe Li, Minghua Ma, Yudong Liu, Si Qin, Bo Qiao, Randolph Yao, Harshwardhan Chaturvedi, Tri Tran, Murali Chintalapati, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang |
| 2023 | Contrastive Coincidental Correctness Representation Learning. | Maojin Li, Yan Lei, Huan Xie, Jiaguo Wang, Chunyan Liu, Zhengxiong Deng |
| 2023 | A Two-Stage Framework for Ambiguous Classification in Software Engineering. | Jiaying Li, Yan Lei, Shanshan Li, Haifang Zhou, Yue Yu, Zhouyang Jia, Yingwei Ma, Teng Wang |
| 2023 | Discriminating Human-authored from ChatGPT-Generated Code Via Discernable Feature Analysis. | Ke Li, Sheng Hong, Cai Fu, Yunhe Zhang, Ming Liu |
| 2023 | Assessing and Improving Dataset and Evaluation Methodology in Deep Learning for Code Clone Detection. | Haiyang Li, Qing Gao, Shikun Zhang |
| 2023 | Why Do Deep Learning Projects Differ in Compatible Framework Versions? An Exploratory Study. | Huashan Lei, Shuai Zhang, Jun Wang, Guanping Xiao, Yepang Liu, Yulei Sui |
| 2023 | Towards the Implementation of a Mobile Application Testing Infrastructure at Von Braun Labs. | Pedro Henrique Kuroishi, Jos Carlos Maldonado, Auri Marcelo Rizzo Vincenzi |
| 2023 | Towards Predicting Source Code Changes Based on Natural Language Processing Models: An Empirical Evaluation. | Yuto Kaibe, Hiroyuki Okamura, Tadashi Dohi |
| 2023 | Mind the Gap: The Difference Between Coverage and Mutation Score Can Guide Testing Efforts. | Kush Jain, Goutamkumar Tulajappa Kalburgi, Claire Le Goues, Alex Groce |
| 2023 | Poisoning Programs by Un-Repairing Code: Security Concerns of AI-generated Code. | Cristina Improta |
| 2023 | EvLog: Identifying Anomalous Logs over Software Evolution. | Yintong Huo, Cheryl Lee, Yuxin Su, Shiwen Shan, Jinyang Liu, Michael R. Lyu |
| 2023 | SAPPX: Securing COTS Binaries with Automatic Program Partitioning for Intel SGX. | Jiawei Huang, Hao Han, Fengyuan Xu, Bing Chen |
| 2023 | Characterizing Runtime Performance Variation in Error Detection by Duplicating Instructions. | Yafan Huang, Zhengyang He, Lingda Li, Guanpeng Li |
| 2023 | A Bayesian Network-Based Analysis of Changing Impact of Organizational Goals on Software Development. | Kiyoshi Honda, Naohiro Hashimoto, Hironori Washizaki, Yoshiaki Fukazawa, Masahiro Taga, Akira Matsuzaki, Kazuyuki Nakagawa, Yusuke Sakai |
| 2023 | Parameter-Efficient Log Anomaly Detection based on Pre-training model and LORA. | Shiming He, Ying Lei, Ying Zhang, Kun Xie, Pradip Kumar Sharma |
| 2023 | Automatic Static Vulnerability Detection for Machine Learning Libraries: Are We There Yet? | Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang, Nachiappan Nagappan |