| 2026 | Cold-Start Anti-Patterns and Refactorings in Serverless Systems: An Empirical Study. | Syed Salauddin Mohammad Tariq, Foyzul Hassan, Amiangshu Bosu, Probir Roy |
| 2026 | AI-Assisted Semantic Modeling of Languages for Symbolic Execution Driven Unit Test Generation. | Mokshith Reddy Tanguturi, Atul Kumar, Nandakishore Menon, Sridhar Chimalakonda |
| 2026 | CVE-Poisoning: Towards Human-Guided and Cost-Effective Detection of a Novel AI Data Poisoning Attack. | Norbert Szolnoki, Gerg Balogh, Szabina Herman, Gbor Antal |
| 2026 | Towards Project-Aware Actionability Detection for Coding Rule Violations. | Csoma Lzr Szles, Gerg Balogh |
| 2026 | Relocate and Emulate: Re-Hosting Android's Application Layer. | Thomas Sutter, Timo Kehrer, Bernhard Tellenbach, Marc Rennhard |
| 2026 | Agentic Pipelines in Embedded Software Engineering: Emerging Practices and Challenges. | Simin Sun, Miroslaw Staron |
| 2026 | Migrating Esope to Fortran 2008 Using Model Transformations. | Younoussa Sow, Nicolas Anquetil, Landre Brault, Stphane Ducasse |
| 2026 | STELLAR: A Search-Based Testing Framework for Large Language Model Applications. | Lev Sorokin, Ivan Vasilev, Ken E. Friedl, Andrea Stocco |
| 2026 | Don't Mind the Mesh: An Empirical Study of Istio's Service Mesh Security in GitHub. | Kohsuke Sonoda, Jose Luis Martin-Navarro, Tuomas Aura |
| 2026 | Evaluating Large Language Models for Security Bug Report Prediction. | Farnaz Soltaniani, Shoaib Razzaq, Mohammad Ghafari |
| 2026 | From Data Leak to Secret Misses: the Impact of Data Leakage on Secret Detection Models. | Farnaz Soltaniani, Mohammad Ghafari |
| 2026 | InterGNN: Using Context for Detecting Inter-Procedural Vulnerabilities. | Sebastian Sierra, Jochen Quante, Eric Bodden |
| 2026 | Failure-Aware Enhancements for Large Language Model (LLM) Code Generation: An Empirical Study on Decision Framework. | Jianru Shen, Zedong Peng, Lucy Owen |
| 2026 | Energy Consumption of Web Frontend Frameworks: An Empirical Comparison of Angular and React. | Anas Shatnawi, Benot Verhaeghe, Boubou Thiam Niang, Louay Khrouf |
| 2026 | Evaluation of Data Quality Disparity and Implications for Fair Machine Learning. | Mohit Sharma, Pratik Mishra, Sandeep Hans, Abhijnan Chakraborty, Vijay Arya |
| 2026 | MutEval: NL-PL Prompt Mutation Framework for Robustness Evaluation of Code LLMs. | Lavanya Sharma, Heer Kubadia, Anura Mantri, Shouvick Mondal |
| 2026 | QGMR: A New Quantum Mutation Testing Operator. | Sanskar Shah, Sangharatna Godboley, P. Radha Krishna |
| 2026 | Self-Admitted Technical Debt in LLM Software: An Empirical Comparison with ML and Non-ML Software. | Niruthiha Selvanayagam, Taher Ahmed Ghaleb, Manel Abdellatif |
| 2026 | Zero-Knowledge Consent: Auditable and Private Data Permission Management via Blockchain. | Filippo Scaramuzza, Marco Tonnarelli, Damian A. Tamburri, Willem-Jan van den Heuvel |
| 2026 | Model Persistence in Distributed Environments: Change-Based Encoding on Blockchain. | Marco Scappa, Juri Di Rocco, Alfonso Pierantonio |
| 2026 | The Silence of the Comments: Patterns and Pitfalls in Smart Contract Code Documentation. | Ermanno Francesco Sannini, Lucia Simeone, Corrado Aaron Visaggio, Andrea Di Sorbo |
| 2026 | Fine-Tuning and Semantic Prompt Enrichment for LLM-Based Smart Contract Vulnerability Detection. | Francesco Salzano, Marco Guglielmi, Simone Scalabrino, Rocco Oliveto, Remo Pareschi |
| 2026 | Empirical Evaluation of Open Source Large Language Models for Paper Selection: Are LLMs Trustworthy Tools for Scoping Reviews? | Homayoun Safarpour, Gerg Balogh, Aondowase James Orban |
| 2026 | Enhancing Security Requirements Coverage via RAG and Automated Feedback Loops. | Giuseppe Sabetta, Alfonso Cannavale, Andrea De Lucia, Fabio Palomba |
| 2026 | Concord: A DSL for Generating Simplified and Scalable Graph-Based Code Representations. | Mootez Saad, Tushar Sharma |