Demo Data from EDBT 2026 / reviewers in the wild / expert
Shaye Koenig
dblp:59/5732
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 1982
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1Databases, data management, data science and information retrieval · 1 · 1 first-author
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.
| Software engineering, system software, and programming languages
1 paper |
Compilers and program optimization · 100% | |
| Databases, data mining, and information retrieval
1 paper |
Database system architecture and tuning · 77% Transaction processing and concurrency control · 23% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Compilers and program optimization
program transformation |
0.0 | 1 | 1982 | Finite Differencing of Computable Expressions · ACM Trans. Program. Lang. Syst. 1982 |
Compilers and program optimization › loop optimization
strength reduction |
0.0 | 1 | 1982 | Finite Differencing of Computable Expressions · ACM Trans. Program. Lang. Syst. 1982 |
Database system architecture and tuning
derived data maintenance |
0.0 | 1 | 1981 | A Transformational Framework for the Automatic Control of Derived Data · VLDB 1981 |
Methods — techniques the papers use, named apart from their topics
transformational framework · 0.0semantics-preserving transformation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1982 | Finite Differencing of Computable ExpressionsabstractFinite differencing is a program optimization method that generalizes strength reduction, and provides an efficient implementation for a host of program transformations including "iterator inversion."Finite differencing is formally specified in terms of more basic transformations shown to preserve program semantics.Estimates of the speedup that the technique yields are given.A full illustrative example of algorithm derivation is presented. Robert Paige, Shaye Koenig |
ACM Trans. Program. Lang. Syst. | 2 |
| 1981 | A Transformational Framework for the Automatic Control of Derived Data
Shaye Koenig, Robert Paige |
VLDB | 1 |