@inproceedings{koupil2025ormorpher,
  author = {Milan Abrahám and Pavel Koupil},
  title = {ORMorpher: An Interactive Framework for ORM Translation and Optimization},
  year = {2025},
  booktitle = {40th IEEE/ACM International Conference on Automated Software Engineering, ASE 2025},
  doi = {10.1109/ASE63991.2025.00369},
  keywords = {['Object-Relational Mapping', 'ORM Translation', 'Framework Selection', 'Performance Optimization', 'Software Evolution']},
  abstract = {Frequent changes in application requirements demand not only schema and query adaptation but also migration and optimization of the object-relational mapping (ORM) code. While database and query migration are well-studied, application-level translation across ORM frameworks remains largely overlooked. We present ORMorpher, a unified and extensible framework for translating and optimizing across heterogeneous ORMs. Unlike existing solutions, ORMorpher supports both structural code transformation and resource-aware framework selection under user-defined constraints. Although broadly applicable, we demonstrate its effectiveness on three widely-used .NET frameworks: Entity Framework Core, NHibernate, and Dapper over Microsoft SQL Server, enabling practical, performance-driven migration. The source code is available at: https://github.com/milan252525/orm-convertor. A demonstration video is available at: https://youtu.be/zwGGdqXtrzM.},
  pubtype = {demo},
  ranking = {CORE A*},
  location = {Seoul, South Korea, November 2025},
  date = {2025-11-20}
}