Demo Data from EDBT 2026 / reviewers in the wild / expert
Ramesh Vasudevan
dblp:85/5882
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2004
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1
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 |
Transaction processing and concurrency control · 100% | |
| Software engineering, system software, and programming languages
1 paper |
Software testing · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Transaction processing and concurrency control › transaction models
long-lived transactions |
0.0 | 1 | 2004 | Using Data Versioning in Database Application Development · ICSE 2004 |
Transaction processing and concurrency control
versioning |
0.0 | 1 | 2004 | Using Data Versioning in Database Application Development · ICSE 2004 |
Software testing › database testing
database application testing |
0.0 | 1 | 2004 | Using Data Versioning in Database Application Development · ICSE 2004 |
Methods — techniques the papers use, named apart from their topics
versioning · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2004 | Using Data Versioning in Database Application DevelopmentabstractDatabase applications such as enterprise resource planning systems and customer relationship management systems are widely used software systems. Development and testing of database applications is difficult because the program execution depends on the persistent state stored in the database. In this paper we show that how versioning of the persistent data stored in the database can solve some critical problems in the development and testing of database applications can be solved by versioning the data stored in the database. Our solution framework is based on long transaction management, a well-researched branch of database systems. We also present empirical results that show the proposed framework's effectiveness in practice. Ramkrishna Chatterjee, Gopalan Arun, Sanjay Agarwal, Ben Speckhard, Ramesh Vasudevan |
ICSE | 5 |