Shape Neutral Analysis of Graph-based Data-structures
share
Malformed data-structures can lead to runtime errors such as arbitrary memory access or corruption. Despite this, reasoning over data-structure properties for low-level heap manipulating programs remains challenging. In this paper we present a constraint-based program analysis that checks data-structure integrity, w.r.t. given target data-structure properties, as the heap is manipulated by the program. Our approach is to automatically generate a solver for properties using the type definitions from the target program. The generated solver is implemented in Constraint Handling Rules (CHR) extending builtin heap, integer and equality solvers. A key property of our program analysis is that the target data-structure properties are shape neutral, i.e. the analysis does not check for properties relating to a given data-structure graph shape, such as doubly-linked-lists versus trees. Nevertheless, the analysis can detect errors in wide range of data-structure manipulating programs, including those that use lists, trees, DAGs, graphs, etc. We present an implementation based on a specialized shape neutral constraint solver implemented using the Satisfiability Modulo Constraint Handling Rules (SMCHR) system. Experimental results show that our approach works well for real-world C programs.
READ FULL TEXT
