Database Management Systems (DBMSs) provide efficient data retrieval and manipulation
for many applications through Structured Query Language (SQL). Incorrect implementations …

Database Management System (DBMS) fuzzing is an automated testing technique aimed at
detecting errors and vulnerabilities in DBMSs by generating, mutating, and executing test …

Transactions are used to guarantee data consistency and integrity in Database
Management Systems (DBMSs), and have become an indispensable component in DBMSs …

Database Management Systems (DBMSs) process a given query by creating a query plan,
which is subsequently executed, to compute the query's result. Deriving an efficient query …

Graph database systems (GDBs) allow efficiently creating, modifying, and retrieving graph
data in a graph database. To accelerate graph queries, GDBs usually adopt various and …

Graph Database Systems (GDBs) support efficiently storing and retrieving graph data, and
have become a critical component in many important applications. Many widely-used GDBs …

As a special kind of graph database systems, RDF stores have been widely used in many
applications, eg, knowl-edge graphs and semantic web. RDF stores utilize SPARQL as their …

Rendering lies at the heart of our modern web experience. However, the correctness of
browser rendering is not always guaranteed, often leading to rendering bugs. Traditional …

In the realm of IoT sensor data security, particularly in areas like agricultural product
traceability, the challenges of ensuring product origin and quality are paramount. This …

Isolation level (IL) acts as a correctness contract between applications and DBMSs.
Problematic IL implementations would cause incorrect transaction execution results and …