AskDB: AI-Assisted Natural Language Interface for Database Querying and Visualization
Read the paper · doi:10.1109/punecon67554.2025.11378586
What this paper does with SQLancer
One citation in the literature review, describing Query Plan Guidance as an automated testing technique focused on the diversity of generated queries. The sentence is partly mangled by the PDF's text encoding.
AskDB is a natural-language interface to databases. It translates a question into SQL with a large language model, runs it against the connected database, and returns results as a table and a chart, adding schema-driven query correction and prompt-engineering optimisation.
How it was classified
uses infrastructure — no
SQLancer is cited, not used; nothing in the mentions describes reusing its code.
extends technique — no
No technique is extended; the citation is background.
compares with — no
No empirical comparison against SQLancer is reported in the mentions.
describes as state of the art — no
The citation does not characterise SQLancer as the state of the art.
Every place it refers to SQLancer (1)
1 sentence, 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 | $ VWXG\ E\ 0 5LJJHU HWDO > @ SUHVHQWHG 4XHU\ 3ODQ Guidance (QPG)—a novel automated testing technique that focuses on the diversity and novelty of the query plans for uncovering buried bugs in relational database systems. |
technique |
II LITERATURE REVIEW page 2 |