Extending Attribute Grammars with Collection Attributes - Evaluation and Applications
Author
Summary, in English
Collection attributes, as defined by Boyland, can be used as a mechanism for concisely specifying cross-reference-like properties such as callee sets, subclass sets, and sets of variable uses.
We have implemented collection attributes in our declarative meta programming system JastAdd, and used them for a variety of applications including devirtualization analysis, metrics, and flow analysis. We propose a series of evaluation algorithms for collection attributes, and compare their performance and applicability. The key design criteria for our algorithms are 1) that they work well with demand evaluation, i.e., defined properties are computed only if they are actually needed for a particular source code analysis problem and a particular source program, and 2) that they work in the presence of circular (fixed-point) definitions that are common for many source code analysis problems, e.g., flow analysis. We show that the best algorithms work well on large practical problems, including the analysis of large Java programs.
We have implemented collection attributes in our declarative meta programming system JastAdd, and used them for a variety of applications including devirtualization analysis, metrics, and flow analysis. We propose a series of evaluation algorithms for collection attributes, and compare their performance and applicability. The key design criteria for our algorithms are 1) that they work well with demand evaluation, i.e., defined properties are computed only if they are actually needed for a particular source code analysis problem and a particular source program, and 2) that they work in the presence of circular (fixed-point) definitions that are common for many source code analysis problems, e.g., flow analysis. We show that the best algorithms work well on large practical problems, including the analysis of large Java programs.
Publishing year
2007
Language
English
Pages
69-78
Publication/Series
Seventh IEEE International Working Conference on Source Code Analysis and Manipulation, SCAM 2007.
Full text
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Document type
Conference paper
Publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
Topic
- Computer Science
Keywords
- source code analysis
- Attribute grammars
- metrics
- collection attributes
Conference name
SCAM 2007 - Seventh IEEE International Working Conference on Source Code Analysis And Manipulation
Conference date
2007-09-30 - 2007-10-01
Conference place
Paris, France
Status
Published
Research group
- LUCAS
ISBN/ISSN/Other
- ISBN: 0-7695-2880-5