An Automated Risk Scoring Framework for SQL Execution Plan Analysis and Performance Regression Detection in Oracle Database Systems

Raghu Gollapudi. 2026. 2026 International Conference on Multidisciplinary Innovations For Smart & Sustainable Future (MISSF).

Read the paper · doi:10.1109/missf68264.2026.11521893

What this paper does with SQLancer

The connection is a single background citation in related work, where existing systems are criticised for showing raw metrics without merging them into a risk model. TLP is among the works cited there, though the paper's own concern is monitoring plan stability rather than finding logic bugs. SQLancer is never named in prose; the mention is reachable only through the citation marker. This paper scores the risk of SQL execution plan changes in Oracle, combining plan-stability signals into a single measure so that a plan regression can be flagged before it degrades production performance, rather than diagnosed afterwards from raw metrics. Written by claude-opus-5 from the 1 place this paper refers to SQLancer. The quotations below are the paper's own words, stored verbatim when the text was extracted.

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
14	M. Rigger and Z. Su. “Finding Bugs in Database Syst ems via Query Partitioning”. Proc. ACM Program. Lang. 4, OOPSLA, Article 211 (2020).	sqlancer publication · TLP

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	These systems however tend to show raw metrics without me rging them into a risk model [14].	citation marker background	II RELATED WORKS page 2

This page is rendered from _data/papers/paper_doi_10_1109_missf68264_2026_11521893.json, extracted from supplied pdf. 6 pages, 18 references parsed.