Detection and recovery of high-level control structures, such as functions and their arguments, plays an important role in decompilation. It has a direct impact on the quality of the generated code because it is needed for generating functionally equivalent and highly readable code. In this paper, we present an innovative, platform-independent method of detection and recovery of functions and their arguments. This method is based on static code interpretation and iterative bidirectional search over reconstructed basic blocks. This approach has been adopted and tested in an existing retargetable decompiler. According to our experimental results, the proposed retargetable solution is fully competitive with existing hand-coded decompilers.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.