Paper Info
Title
Implications of a Data Structure Consistency Checking System
Abstract
We present a framework for verifying that programs correctly preserve important data structure consistency properties. Results from our implemented system indicate that our system can effectively enable the scalable verification of very precise data structure consistency properties within complete programs. Our system treats both internalproperties, which deal with a single data structure implementation, and externalproperties, which deal with properties that involve multiple data structures. A key aspect of our system is that it enables multiple analysis and verification packages to productively interoperate to analyze a single program. In particular, it supports the targeted use of very precise, unscalable analyses in the context of a larger analysis and verification system. The integration of different analyses in our system is based on a common set-based specification language: precise analyses verify that data structures conform to set specifications, whereas scalable analyses verify relationships between data structures and preconditions of data structure operations.There are several reasons why our system may be of interest in a broader program analysis and verification effort. First, it can ensure that the program satisfies important data structure consistency properties, which is an important goal in and of itself. Second, it can provide information that insulates other analysis and verification tools from having to deal directly with pointers and data structure implementations, thereby enabling these tools to focus on the key properties that they are designed to analyze. Finally, we expect other developers to be able to leverage its basic structuring concepts to enable the scalable verification of other program safety and correctness properties.
Year
DOI
Venue
2005
10.1007/978-3-540-69149-5_23
VSTTE
Keywords
Field
DocType
multiple data structure,scalable verification,important data structure consistency,verification system,data structure implementation,precise data structure consistency,data structure operation,data structure consistency checking,verification effort,single data structure implementation,data structure,specification language,program analysis
Specification language,Data structure,Pointer (computer programming),Data mining,Programming language,Software engineering,Interoperability,Computer science,Correctness,Implementation,Program analysis,Scalability
Conference
Volume
ISSN
Citations 
4171
0302-9743
2
PageRank 
References 
Authors
0.39
19
4
Name
Order
Citations
PageRank
Viktor Kuncak1112970.57
Patrick Lam263638.73
Karen Zee31838.50
Martin C. Rinard44739277.55