Conference Paper

Bit level types for high level reasoning.

DOI: 10.1145/1181775.1181791 In proceeding of: Proceedings of the 14th ACM SIGSOFT International Symposium on Foundations of Software Engineering, FSE 2006, Portland, Oregon, USA, November 5-11, 2006
Source: DBLP

ABSTRACT Bitwise operations are commonly used in low-level systems code to access multiple data fields that have been packed into a single word. Program analysis tools that reason about such programs must model the semantics of bitwise opera- tions precisely in order to capture program control and data flow through these operations. We present a type system for subword data structures that explitictly tracks the flow of bit values in the program and identifies consecutive sections of bits as logical entities manipulated atomically by the pro- grammer. Our type inference algorithm tags each integer value of the program with a bitvector type that identifies the data layout at the subword level. These types are used in a translation phase to remove bitwise operations from the pro- gram, thereby allowing verification engines to avoid the ex- pensive low-level reasoning required for analyzing bitvector operations. We have used a software model checker to check properties of translated versions of a Linux device driver and a memory protection system. The resulting verifica- tion runs could prove many more properties than the naive model checker that did not reason about bitvectors, and could prove properties much faster than a model checker that did reason about bitvectors. We have also applied our bitvector type inference algorithm to generate program doc- umentation for a virtual memory subsystem of an OS kernel. While we have applied the type system mainly for program understanding and verification, bitvector types also have ap- plications to better variable ordering heuristics in boolean model checking and memory optimizations in compilers for embedded software.

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    ABSTRACT: We present a refinement type-based approach for the static verification of complex data structure invariants. Our approach is based on the observation that complex data structures are typically fashioned from two elements: recursion (e.g., lists and trees), and maps (e.g., arrays and hash tables). We introduce two novel type-based mechanisms targeted towards these elements: recursive refinements and polymorphic refinements. These mechanisms automate the challenging work of generalizing and instantiating rich universal invariants by piggybacking simple refinement predicates on top of types, and carefully dividing the labor of analysis between the type system and an SMT solver. Further, the mechanisms permit the use of the abstract interpretation framework of liquid type inference to automatically synthesize complex invariants from simple logical qualifiers, thereby almost completely automating the verification. We have implemented our approach in dsolve, which uses liquid types to verify ocaml programs. We present experiments that show that our type-based approach reduces the manual annotation required to verify complex properties like sortedness, balancedness, binary-search-ordering, and acyclicity by more than an order of magnitude.
    Proceedings of the 2009 ACM SIGPLAN Conference on Programming Language Design and Implementation, PLDI 2009, Dublin, Ireland, June 15-21, 2009; 01/2009

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