VLDB 2026 Research / reviewers in the wild / expert
Rares Cristea
dblp:297/9397
· DBLP profile ↗
7ranked-venue papers
1as first author
7since 2021 · last 2025
0000-0003-3424-1411ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 6 · 1 first-author · 6 since 2021Artificial intelligence and machine learning · 1 · 1 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | MODE: A Customizable Open-Source Testing Framework for IoT Systems and Methodologies
Rares Cristea, Ciprian Paduraru, Alin Stefanescu |
ENASE | 1 |
| 2024 | Adaptive Questionnaire Design Using AI Agents for People Profiling
Ciprian Paduraru, Rares Cristea, Alin Stefanescu |
ICAART (3) | 2 |
| 2024 | End-to-End RPA-Like Testing Using Reinforcement LearningabstractEven though test automation has an increased presence in industry nowadays, there is still room for improvement, especially in the area of end-to-end testing. Most testing methods in the literature focus on techniques that do not test these applications as a typical end user would, i.e., starting from the user interface (UI) level. Our work, done in collaboration with UiPath company, a leader in Robotic Process Automation (RPA), proposes deep reinforcement learning methods that can test applications from end to end at the UI level. In the current implementation of our prototype, abstractions and separation of concerns are considered so that methods can be reused between applications and algorithms can be used with minimal user effort. The testing process that results after training the agents is similar to that of a human tester going through the functions of the application. Empirical evaluation of these agents shows that, on the one hand, they can almost perfectly mimic the behavior of human testers and, on the other hand, they can exceed the human performance level. Ciprian Paduraru, Rares Cristea, Alin Stefanescu |
ICST | 2 |
| 2023 | Automatic Fuzz Testing and Tuning Tools for Software Blueprints
Ciprian Paduraru, Rares Cristea, Alin Stefanescu |
ICSOFT | 2 |
| 2022 | Advancing Security and Data Protection for Smart Home Systems through Blockchain Technologies
Ciprian Paduraru, Rares Cristea, Alin Stefanescu |
ICSOFT | 2 |
| 2022 | Enhancing the security of gaming transactions using blockchain technologyabstractIn this paper, we propose GameBlockchain, an open-source blockchain framework designed to support secure transactions of NFTs in modern computer games. Its purpose is to enable game industry stakeholders such as game developers, content creators, and regular gamers to create and exchange game assets in a more secure and trusted environment. The security of traditional databases and potential data tampering or dangerous user behavior is improved, as outlined in the paper, by blockchain technology, which is used to record critical operations in a ledger, preserving the identity of the user at all times. From a technical perspective, the main goal is to provide an architecture that is easy to use, flexible, understandable, and has an extensible SDK. Using the framework, game developers and regular users should be able to create and trade assets without third-party providers, and use all related services directly in the game interface itself, without having to switch between applications or pay additional transfer fees to providers. We also encourage the development of games with shared marketplaces and wallets on both the developer and user sides, making it easier to monetize assets and services. Ciprian Paduraru, Rares Cristea, Alin Stefanescu |
ASE | 2 |
| 2021 | IoT Fuzzing using AGAPIA and the River Framework
Constantin-Eduard Staniloiu, Rares Cristea, Bogdan Ghimis |
ICSOFT | 2 |