جستجوی استاد راهنمای دانشگاهی

Jean-Rémy Falleriمشاهده پروفایل

استاد

• Software Engineering
• Software Evolution
• Source Code Differencing
• +۳ مورد دیگر

Jean-Rémy Falleri is a Full Professor of Computer Science at Enseirb-Matmeca (Bordeaux INP) and a researcher at LaBRI laboratory in Bordeaux, France. He serves as head of the Computer Science department at Enseirb-Matmeca and co-head of the Systems and Data department at LaBRI. From 2020 to 2025, he was appointed as a junior member (later honorary member) of the prestigious Institut Universitaire de France. His educational background includes a habilitation from Université de Bordeaux (2015), a PhD from Université Montpellier 2, and a Master's degree from IMT Mines Alès (formerly École des Mines d'Alès). He also completed post-doctoral research at INRIA Lille in the RMoD group. Falleri's research focuses on software engineering, particularly software evolution and the development of practical tools to analyze and understand code changes. His work bridges theoretical research with practical applications, resulting in tools like GumTree for visualizing code differences and Roseau for detecting breaking changes in libraries. His research interests span source code differencing, API analysis, breaking change detection, and software maintenance techniques. His publication record shows consistent contributions to top software engineering conferences including ICSE, ASE, ICSME, and FSE, with research themes evolving from code clone detection and developer expertise extraction to modern challenges in API evolution and Docker configuration analysis. Junior Member of Institut Universitaire de France (2020-2025) Honorary Member of Institut Universitaire de France (2020-2025) Falleri has supervised numerous Master's students, PhD candidates, and post-doctoral researchers throughout his career. He has held significant service roles including Head of LaBRI's Systems and Data department (since 2021), Head of LaBRI's Software Engineering group (2015-2021), and member of various conference program committees. His work has practical impact through actively maintained tools that address real challenges in software development and evolution.

Cedric Richterمشاهده پروفایل

پژوهشگر

• Machine Learning
• Software Verification
• Program Analysis
• +۴ مورد دیگر

Cedric Richter is a Research Scientist at University of Oldenburg specializing in the intersection of Machine Learning and Software Verification. He actively contributes to major software engineering conferences including ASE, ICST, and ISSTA as both author and program committee member. His research focuses on applying machine learning techniques to software verification and bug detection problems. Key areas include neural bug detectors, program analysis, abstract syntax tree processing, and code differencing. Richter has developed several open-source tools including code_tokenize, code_ast, code_diff, and code_graph that facilitate AST-based code analysis and program graph generation. His work on TSSB-3M has contributed large-scale datasets of single statement bug fixes in Python. His publications demonstrate a consistent research trajectory exploring how machine learning can enhance traditional software verification techniques, with recent work examining the application of large language models like ChatGPT to support verification tools. Richter serves on program committees for major software engineering conferences including ASE (2023, 2025), ICSE (2022-2025), and ESEC/FSE, demonstrating his standing in the software engineering research community.