| dc.description.abstract | With the evolution of technology, engineers and users are constantly trying
to seek breakthroughs in speed and efficiency. In order to achieve this goal, the
concept of Concurrency is brought out, but this concept also causes many fatal
problems, one of these problems is the race condition.
Nowadays, people use the Internet to obtain all kinds of information, shop,
play games, trade, etc. In order to handle lots of requests from systems and needs
of people, it is imperative for the web application to support the concurrent mech-
anism, but when we enjoy the benefit from concurrency, it is also necessary to
face up to the potential risk, which is exactly what this paper hopes to explore and
solve.
Although the race condition has been constantly discussed, and effective and
accurate solutions have been proposed one after another, this problem still occur
in JavaScript applications. Technology continuously evolves, and so do program-
ming languages, JavaScript, a single-threaded programming language, there are
also problems that should not exist. However, as the most commonly used client-
side language, this undoubtedly makes this issue extremely important.
In our research, we adopt techniques such as Call Graph, Abstract Syntax
Tree (AST), and static analysis to study and address race conditions. Leveraging
these techniques, we can effectively and easily identify potential race conditions.
In this paper, we will provide a detailed explanation of why we chose these
techniques and the methods we employed. We will explore the characteristics of
race conditions and demonstrate how Call Graph, Abstract Syntax Tree, and static
analysis help us identify potential race conditions. | en_US |