Dynamic Adjustment Paradigm based on Genetic Algorithm in Database Index Optimization
Read the paper · doi:10.1109/icicnis64247.2024.10823213
What this paper does with SQLancer
How it was classified
uses infrastructure — no
SQLancer is cited as related work; no reuse of its code, generator or workload is described.
extends technique — no
No SQLancer technique is extended; the citation is background.
compares with — no
No empirical comparison against SQLancer or one of its oracles is reported.
describes as state of the art — no
The text does not describe SQLancer as the state of the art.
SQLancer publications it cites (1)
Bibliography entries that resolved to a SQLancer publication, or to a paper by one of the project's authors. A sentence citing one of these numbers is a reference to SQLancer even when it never writes the name.
| # | Entry | Matched as |
|---|---|---|
| 6 | Rigger, Manuel, and Zhendong Su. "Detecting optimization bugs in database engines via non -optimizing reference engine construction." In Proceedings of the 28th ACM Joint Meeting on European Software Engineering Confe... | sqlancer publication · NOREC |
Every place it refers to SQLancer (3)
3 sentences, each stored verbatim from the extracted text with where it was found and how. “Citation marker” means the sentence names no tool at all and was reached through a reference number that resolved to a SQLancer publication.
| Id | Sentence | Found by | Where |
|---|---|---|---|
| M1 | Rigger and Su [6] designed and optimized NoREC, a non-optimized engine construction method that can be used to detect optimization errors in database engines. |
technique |
II REVIEW OFDATABASE OPTIMIZATION STUDIES page 2 |
| M2 | The proposed NoREC constructs a non -optimized engine to evaluate queries and detects the differences between optimized and non optimized engines. |
technique |
II REVIEW OFDATABASE OPTIMIZATION STUDIES page 2 |
| M3 | Multiple experiments clearly show that the NoREC model can effectively detect the optimization errors. |
technique |
II REVIEW OFDATABASE OPTIMIZATION STUDIES page 2 |