The behavior of software that uses the Java Reflection API is fundamentally hard to predict
by analyzing code. Only recent static analysis approaches can resolve reflection under …

After decades of research, constructing call graphs for modern C-based software remains
either imprecise or inefficient when scaling up to the ever-growing complexity. The main …

Python has emerged as one of the most popular programming languages, extensively
utilized in domains such as machine learning, data analysis, and web applications. Python's …

Designing, develo** and maintaining concurrent applications is an error-prone and time-
consuming task; most difficulties arise because compilers are usually unable to check …

Call graphs are widely used; in particular for advanced control-and data-flow analyses. Even
though many call graph algorithms with different precision and scalability properties have …

Call graphs have many applications in software engineering, including bug-finding, security
analysis, and code navigation in IDEs. However, the construction of call graphs requires …

WebAssembly is a low-level bytecode format that powers applications and libraries running
in browsers, on the server side, and in standalone runtimes. Call graphs are at the core of …

The performance of contemporary object oriented languages depends on optimizations
such as devirtualization, inlining, and specialization, and these in turn depend on precise …

Call graphs are an essential requirement for almost all inter-procedural analyses. This
motivated the development of many tools and frameworks to generate the call graph of a …

Call graphs have many applications in software engineering. For example, they serve as the
basis for code navigation features in integrated development environments and are at the …