Transactions are used to maintain the data integrity of databases, and have become an
indispensable feature in modern Database Management Systems (DBMSs). Despite …

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

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 …

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) are widely used to efficiently store and retrieve
data. DBMSs usually support various metadata, eg, integrity constraints for ensuring data …

Reducing test inputs that trigger bugs is crucial for efficient debugging. Delta debugging is
the most popular approach for this purpose. When test inputs need to conform to certain …

Extensible Markup Language (XML) is a widely used file format for data storage and
transmission. Many XML processors support XPath, a query language that enables the …

Graph database engines play a pivotal role in efficiently storing and managing graph data
across various domains, including bioinformatics, knowledge graphs, and recommender …

ABSTRACT Graph Database Management Systems (GDBMS), which utilize graph models
for data storage and execute queries via graph traversals, have seen ubiquitous usage in …

Abstract In recent years, Graph Database Management Systems (GDBMS) has increased in
popularity for many use cases. One of the most popular GDBMS is Neo4j, which uses …