Demo Data from VLDB 2026 / reviewers in the wild / expert
Milan Abrahám
dblp:426/3781
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1 · 1 first-author · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Databases, data mining, and information retrieval
1 paper |
Data integration and cleaning · 100% |
Topics — the 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Data integration and cleaning › schema mapping
object-relational mapping |
0.9 | 1 | 2025 | ORMorpher: An Interactive Framework for ORM Translation and Optimization · ASE 2025 |
Methods — techniques the papers use, named apart from their topics
structural code transformation · 0.9resource-aware framework selection · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | ORMorpher: An Interactive Framework for ORM Translation and OptimizationabstractFrequent 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 frame-work 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. Milan Abrahám, Pavel Koupil |
ASE | 1 |