| 2025 | Understanding the Changing Landscape of Automotive Software Vulnerabilities: Insights from a Seven-Year Analysis. | Srijita Basu, Miroslaw Staron |
| 2025 | AssetHarvester: A Static Analysis Tool for Detecting Secret-Asset Pairs in Software Artifacts. | Setu Kumar Basak, K. Virgil English, Ken Ogura, Vitesh Kambara, Bradley Reaves, Laurie A. Williams |
| 2025 | Efficient Domain Augmentation for Autonomous Driving Testing Using Diffusion Models. | Luciano Baresi, Davide Yi Xian Hu, Andrea Stocco, Paolo Tonella |
| 2025 | OptCD: Optimizing Continuous Development. | Talank Baral, Emirhan Ogul, Shanto Rahman, August Shi, Wing Lam |
| 2025 | What Does a Software Engineer Look Like? Exploring Societal Stereotypes in LLMs. | Muneera Bano, Hashini Gunatilake, Rashina Hoda |
| 2025 | CaSS: Context-Aware Slice Summarization for Debugging Regression Failures. | Sahar Badihi |
| 2025 | Exploring the Robustness of the Effect of EVO on Intention Valuation Through Replication. | Yesugen Baatartogtokh, Kaitlyn Cook, Alicia M. Grubb |
| 2025 | MoMTSimDP: A Differentially Private Simulator for Mobile Money Transactions. | Denish Azamuke, Marriette Katarahweire, Engineer Bainomugisha |
| 2025 | User Personas Improve Social Sustainability by Encouraging Software Developers to Deprioritize Antisocial Features. | Bimpe Ayoola, Miikka Kuutila, Rina R. Wehbe, Paul Ralph |
| 2025 | TESTIFAI: Probabilistic Context-Aware Testing for Safe Deep Learning Models. | Arooj Arif |
| 2025 | Adaptive Abstraction with AI for Managing Software Antipatterns Throughout the Software Lifecycle. | Roberto O. Andrade, Jenny Torres, Pamela Flores, Erick Cabezas, Jorge Segovia |
| 2025 | Towards Using Llms for Distributed Trace Comparison (Abstract). | Vaastav Anand, Pedro Henrique B. Las-Casas, Rodrigo Fonseca, Antoine Kaufmann |
| 2025 | Automated Service Design with Cerulean (Project Showcase). | Vaastav Anand, Alok Gautam Kumbhare, Celine Irvene, Chetan Bansal, Gagan Somashekar, Jonathan Mace, Pedro Henrique B. Las-Casas, Ricardo Bianchini, Rodrigo Fonseca |
| 2025 | $ZTD_{\text{JAVA}}$: Mitigating Software Supply Chain Vulnerabilities via Zero-Trust Dependencies. | Paschal C. Amusuo, Kyle A. Robinson, Tanmay Singla, Huiyun Peng, Aravind Machiry, Santiago Torres-Arias, Laurent Simon, James C. Davis |
| 2025 | A Unit Proofing Framework for Code-level Verification: A Research Agenda. | Paschal C. Amusuo, Parth V. Patil, Owen Cochell, Taylor Le Lievre, James C. Davis |
| 2025 | Empirically-Informed Approaches to Shift Vulnerability Detection to the Left. | Paschal C. Amusuo |
| 2025 | Accessibility Issues in Ad-Driven Web Applications. | Abdul Haddi Amjad, Muhammad Danish, Bless Jah, Muhammad Ali Gulzar |
| 2025 | Edge-Based Detection of Label Flipping Attacks in Federated Learning Using Explainable AI. | Nourah S. AlOtaibi, Muhamad Felemban, Sajjad Mahmood |
| 2025 | Feature-Driven End-to-End Test Generation. | Parsa Alian, Noor Nashid, Mobina Shahbandeh, Taha Shabani, Ali Mesbah |
| 2025 | Towards Secure and Interactive Smart Contract Code from Formal Symboleo Specifications. | Sofana Alfuhaid |
| 2025 | Revisiting SWE-Bench: On the Importance of Data Quality for LLM-Based Code Models. | Reem Aleithan |
| 2025 | Mobile Application Coverage: The 30% Curse and Ways Forward. | Faridah Akinotcho, Lili Wei, Julia Rubin |
| 2025 | TIGER: A Generating-Then-Ranking Framework for Practical Python Type Inference. | Chong Wang, Jian Zhang, Yiling Lou, Mingwei Liu, Weisong Sun, Yang Liu, Xin Peng |
| 2025 | Towards Trustworthy LLMs for Code: A Data-Centric Synergistic Auditing Framework. | Chong Wang, Zhenpeng Chen, Tianlin Li, Yilun Zhang, Yang Liu |
| 2025 | PUPPY: Finding Performance Degradation Bugs in DBMSs via Limited-Optimization Plan Construction. | Zhiyong Wu, Jie Liang, Jingzhou Fu, Mingzhe Wang, Yu Jiang |