← Research building on SQLancer

Juanda Hakim Lubis, I. Jaya, Fajrul Malik Aminullah Napitupulu, H. Mawengkang. 2026. AIUB Journal of Science and Engineering (AJSE).

Read the paper · doi:10.53799/zb6b1375

What this paper does with SQLancer

The connection is a single citation, to CERT. The paper cites Ba and Rigger as having confirmed that cardinality-estimation errors remain a meaningful source of DBMS performance issues across mature database systems, and uses that alongside other work to frame its research gap -- that optimizer effectiveness is known to depend on cardinality estimation and access paths, while the influence of schema design choices under a shared workload is less well understood. SQLancer itself is never named, and none of the four mentions is reachable except through the citation marker. A controlled evaluation of how relational schema design affects query performance. Three alternative designs for one inventory domain are measured across three storage configurations, seven query categories and four data volumes, using both measured response time and the optimizer's own cost estimates on Oracle 11gR2. Written by claude-opus-5 from the 4 places 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.

#EntryMatched as
13 J. Ba and M. Rigger, “CERT: Finding performance issues in database systems th rough the lens of cardinality estimation,” in Proc. ACM SIGMOD Int. Conf. Manage. Data, 2023, pp. 1600 –1612, doi: 10.1145/3597503.3639076. sqlancer publication · CERT

Every place it refers to SQLancer (4)

4 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 Recent studies have further shown that additional dependency information and cardinality -estimation quality can significantly affect query plan efficiency and execution behavior [10], [13]. citation marker
background 		page 1
M2 Existing studies tend to focus either on general normalization strategies [6-12] or on optimizer behavior and cost estimation [10], [13], leaving a gap in understanding how alternative r elational design choices influence practical DBMS performance under a shared workload. citation marker
motivation 		page 2
M3 Ba and Rigger furt her confirmed that cardinality -estimation errors remain a meaningful source of DBMS performance issues across mature database systems [13]. citation marker
background 		page 2
M4 Research Gap Prior studies have established that relational schema design influences query performa nce [7 -12] and that optimizer effectiveness depends on access paths, cardinality estimation, AJSE Volume 25, Issue 1, Page 19 - 30 Page 20 and structural dependencies [1 -5], [10], [13]. citation marker
motivation 		page 2

This page is rendered from _data/papers/paper_doi_10_53799_zb6b1375.json, extracted from supplied pdf. 15 pages, 27 references parsed.