Precise interprocedural dataflow analysis via graph reachability
POPL '95 Proceedings of the 22nd ACM SIGPLAN-SIGACT symposium on Principles of programming languages
Precise interprocedural dataflow analysis with applications to constant propagation
TAPSOFT '95 Selected papers from the 6th international joint conference on Theory and practice of software development
Data-flow analysis of program fragments
ESEC/FSE-7 Proceedings of the 7th European software engineering conference held jointly with the 7th ACM SIGSOFT international symposium on Foundations of software engineering
Precise Call Graphs for C Programs with Function Pointers
Automated Software Engineering
Building a whole-program type analysis in Eclipse
eclipse '05 Proceedings of the 2005 OOPSLA workshop on Eclipse technology eXchange
A method for data-flow analysis of business components
Proceedings of the 14th international ACM Sigsoft symposium on Component based software engineering
Interprocedural dataflow analysis in the presence of large libraries
CC'06 Proceedings of the 15th international conference on Compiler Construction
Class-Modular, class-escape and points-to analysis for object-oriented languages
NFM'12 Proceedings of the 4th international conference on NASA Formal Methods
Lock inference in the presence of large libraries
ECOOP'12 Proceedings of the 26th European conference on Object-Oriented Programming
| Hi-index | 0.00 |
Interprocedural dataflow analysis has a wide range of uses in software maintenance, testing, verification, and optimization. Despite the large body of research on various analyses, the widespread adoption of these techniques faces serious challenges. In particular, when software is built with reusable components, the standard approaches for dataflow analysis cannot be applied. This paper proposes a model of component-level analysis which generalizes the traditional model of whole-program analysis. We outline the theoretical foundations of component-level analysis, discuss some of the key technical challenges for such analysis, and present initial results from our work on addressing these challenges.