Datalog-Based Program Analysis with BES and RWL

Abstract

Alpuente Frasnedo, M.; Feliú Gabaldón, MA.; Joubert, C.; Villanueva García, A. (2011 Abstract. This paper describes two techniques for Datalog query evaluation and their application to object-oriented program analysis. The first technique transforms Datalog programs into an implicit Boolean Equation System (Bes) that can then be solved by using linear-time complexity algorithms that are available in existing, general purpose verification toolboxes such as Cadp. In order to improve scalability and to enable analyses involving advanced meta-programming features, we develop a second methodology that transforms Datalog programs into rewriting logic (Rwl) theories. This method takes advantage of the preeminent features and facilities that are available within the high-performance system Maude, which provides a very efficient implementation of Rwl. We provide evidence of the practicality of both approaches by reporting on some experiments with a number of real-world Datalog-based analyses.

Fifty Years of Prolog and Beyond

“…Datalog plays an important role in the research field of deductive databases (Ramakrishnan and Ullman, 1993). Datalog has found new applications in many areas (Huang et al, 2011), such as information extraction (Shen et al, 2007), program analysis (Whaley et al, 2005;Alpuente et al, 2010), security (Bonatti, 2010), and natural language processing (Dahl et al, 1995).…”

Soufflé: On Synthesis of Program Analyzers

“…We have presented SOUFFLÉ, a Datalog-based analysis tool that instead of evaluating Datalog, performs several specialization and optimization steps to produce a compiled, binary analyzer that can handle very large code bases. SOUFFLÉ is publicly available 4 and is actively developed by both Oracle and several universities. SOUFFLÉ supports a range of Datalog language extensions to aid in the specification of program analyses and resulting analyzers may be directly included into host applications as a header-only library.…”

“…Among the reasons for the slow industrial adoption of static program analysis is the lack of sufficient customizability and scalability in tools. Recently, the use of Datalog-like languages, has had a resurgence in several computer science communities [9], particularly, in the area of program analysis [3,2,16,4,12,18] where tools such as µZ [10], LogicBlox [11] and bddbddb [18] have shown great promise. In these tools, Datalog acts as a domain specific language to express custom program analyses concisely, reducing the complexity of developing program analyzers.…”

Improved Static Analysis of Parameterised Boolean Equation Systems using Control Flow Reconstruction

“…Fixpoint logics such as PBESs have applications in database theory and computer aided verification. For instance, the CADP [6] and mCRL2 [4] toolsets use PBESs for model checking and equivalence checking and in [2] PBESs are used to solve Datalog queries.…”