Mopsa is a multilanguage static analysis platform relying on abstract interpretation. It is able to analyze C, Python, and programs mixing these two languages; we focus on the C analysis here. It provides a novel way to combine abstract domains, in …
Modern programs are increasingly multilanguage, to benefit from each programming language's advantages and to reuse libraries. For example, developers may want to combine high-level Python code with low-level, performance-oriented C code. In fact one …
In France, income tax is computed from taxpayers' individual returns, using an algorithm that is authored, designed and maintained by the French Public Finances Directorate (DGFiP). This algorithm relies on a legacy custom language and compiler …
Python is an increasingly popular dynamic programming language, particularly used in the scientific community and well-known for its powerful and permissive high-level syntax. Our work aims at detecting statically and automatically type errors. As …
We discuss the design of Mopsa, an ongoing effort to design a novel semantic static analyzer by abstract interpretation. Mopsa strives to achieve a high degree of modularity and extensibility by considering value abstractions for numeric, pointer, …
Being able to soundly estimate roundoff errors of finite-precision computations is important for many applications in embedded systems and scientific computing. Due to the discrepancy between continuous reals and discrete finite-precision values, …
We present a static analysis by abstract interpretation of numeric properties in multi-threaded programs. The analysis is sound (assuming a sequentially consistent memory), parameterized by a choice of abstract domains and, in order to scale up, it …