| 2025 | How Effective are Large Language Models in Generating Software Specifications? | Danning Xie, Byoung-Joo Yoo, Nan Jiang, Mijung Kim, Lin Tan, Xiangyu Zhang, Judy S. Lee |
| 2025 | WakeMint: Detecting Sleepminting Vulnerabilities in NFT Smart Contracts. | Lei Xiao, Shuo Yang, Wen Chen, Zibin Zheng |
| 2025 | EarlyPR: Early Prediction of Potential Pull-Requests from Forks. | Xiangchen Wu, Liang Wang, Xianping Tao |
| 2025 | Cross-System Software Log-based Anomaly Detection Using Meta-Learning. | Yuqing Wang, Mika V. Mntyl, Jesse Nyyssl, Ke Ping, Liqiang Wang |
| 2025 | LLM-Based Generation of Solidity Smart Contracts from System Requirements in Natural Language: The AstraKode Case. | Gabriele De Vito, Damiano D'Amici, Fabiano Izzo, Filomena Ferrucci, Dario Di Nucci |
| 2025 | Metamorphic Testing for Smart Contract Validation: A Case Study of Ethereum-Based Crowdfunding Contracts. | Irving Jared Villanueva, Madhusudan Srinivasan, Faqeer ur Rehman |
| 2025 | Improving Evidence-Based Tech Hiring with GitHub-Supported Resume Matching. | Swanand Vaishampayan, Muhammad Ali Gulzar, Chris Brown |
| 2025 | Leveraging Public Blockchain for Energy Community Simulation: A Novel Approach with Simulink and Ethereum Sepolia. | Azmat Ullah, Giuseppe Antonio Pierro |
| 2025 | RADICE: Causal Graph Based Root Cause Analysis for System Performance Diagnostic. | Andrea Tonon, Meng Zhang, Bora Caglayan, Fei Shen, Tong Gui, MingXue Wang, Rong Zhou |
| 2025 | DATSO: A Difficulty Assessment Tool for Stack Overflow Questions. | Aman Swaraj, Neha Gujar, Manashree Kalode, Bhoomi Bonal, Krishna Agarwal, Sandeep Kumar |
| 2025 | AIOpsArena: Scenario-Oriented Evaluation and Leaderboard for AIOps Algorithms in Microservices. | Yongqian Sun, Jiaju Wang, Zhengdan Li, Xiaohui Nie, Minghua Ma, Shenglin Zhang, Yuhe Ji, Lu Zhang, Wen Long, Hengmao Chen, Yongnan Luo, Dan Pei |
| 2025 | Revisiting Method-Level Change Prediction: A Comparative Evaluation at Different Granularities. | Hiroto Sugimori, Shinpei Hayashi |
| 2025 | Addressing Popularity Bias in Third-Party Library Recommendations Using LLMs. | Claudio Di Sipio, Juri Di Rocco, Davide Di Ruscio, Vladyslav Bulhakov |
| 2025 | Experiences on Using Large Language Models to Re-Engineer a Legacy System at Volvo Group. | Vanshika Singh, Caglar Korlu, Wesley K. G. Assuno |
| 2025 | An Exploratory Study on the Impact of Change-Proneness as a Metric in Black-Box Test Suite Minimization. | Md. Siam, Mridha Md. Nafis Fuad, Kazi Sakib |
| 2025 | Towards Using LLMs in the Reverse Engineering of Software Systems to Object Constraint Language. | Hanan Abdulwahab Siala, Kevin Lano |
| 2025 | Characterizing Logs in Vulnerability Reports: In-Depth Analysis and Security Implications. | Yao Shu, Lianyu Zheng, Jinfu Chen, Jifeng Xuan |
| 2025 | DragonRadar: Fuzzing Linux Kernel Deployed in Cloud-Native Environment. | Heyuan Shi, Weibo Zhang, Runzhe Wang, Xiaohai Shi, Guoyu Yin, Shijun Chen, Yuhan Chen, Qiang Zhang, Jianzhong Liu, Yuheng Shen |
| 2025 | ALOGO: A Novel and Effective Framework for Online Cross-Project Defect Prediction. | Rongrong Shi, Yuxin He, Ying Liu, Zonghao Li, Jingxin Su, Haonan Tong |
| 2025 | Stack Trace Deduplication: Faster, More Accurately, and in More Realistic Scenarios. | Egor Shibaev, Denis Sushentsev, Yaroslav Golubev, Aleksandr Khvorov |
| 2025 | An Ensemble Learning Method Based on Neighborhood Granularity Discrimination Index and Its Application in Software Defect Prediction. | Yuqi Sha, Feng Jiang, Qiang Hu, Yifan He |
| 2025 | Uncovering the Challenges: A Study of Corner Cases in Bug-Inducing Commits. | Atakan Serifoglu, Eray Tzn |
| 2025 | Filter-based Repair of Semantic Segmentation in Safety-Critical Systems. | Sebastian Schneider, Tomas Sujovolsky, Paolo Arcaini, Fuyuki Ishikawa, Truong Vinh Truong Duy |
| 2025 | Revisiting the Non-Determinism of Code Generation by the GPT-3.5 Large Language Model. | Salimata Sawadogo, Aminata Saban, Rodrique Kafando, Abdoul Kader Kabor, Tegawend F. Bissyand |
| 2025 | Hidden Figures in Software Engineering: A Replication Study Exploring Undergraduate Software Students' Awareness of Distinguished Scientists from Underrepresented Groups. | Ronnie de Souza Santos, talo Santos, Robson Santos, Cleyton V. C. de Magalhes |