Add to ORKGDemand-driven data-flow analysis (DD-DFA) has been pioneered in the field of interprocedural analysis of sequential programs to accommodate the specific needs of analysis tools like debuggers and slicers, but also to compensate for the continuous growth of programs and program complexity making static program analyses more and more intricate and time consuming. Particularly successful in practice turned out to be a DD-DFA approach based on reverse DFA. Recently, we have shown how to generalize this approach for the class of GEN/KILL-problems to explicitly parallel programs. Here, we focus on the theoretical foundation of this approach
Data flow analysis is a compile-time analysis technique that gathers information about definitions a...
Standard techniques for analysing sequential programs are severely constrained when applied to a con...
This paper concerns the solution of demand versions of interprocedural analysis problems. In a deman...
The increasing demands for highly performant, proven correct, easily maintainable, extensible progra...
We present a comprehensive approach to performing data flow analysis in parallel. We identify three ...
Data flow analysis is a well studied family of static program analyses. A rich theoretical basis for...
An exhaustive dataflow-analysis algorithm associates with each point in a program a set of “dataflow...
We present a comprehensive approach to performing data flow analysis in parallel. We identify three ...
AbstractThis paper presents a demand transformation analysis that maps a predicate's output demands ...
The need for more processing power has spurred the development of new processor architectures. A pro...
Information about which pairs of statements in a concurrent program can execute in parallel is impor...
This paper describes a general framework and several specific techniques for cause-effect analysis: ...
The high cost and growing importance of interprocedural data flow analysis have led to an in-creased...
Information about which pairs of statements in a concurrent program can execute in parallel is impor...
This paper concerns the solution of demand versions of interprocedural analysis problems. In a deman...
Data flow analysis is a compile-time analysis technique that gathers information about definitions a...
Standard techniques for analysing sequential programs are severely constrained when applied to a con...
This paper concerns the solution of demand versions of interprocedural analysis problems. In a deman...
The increasing demands for highly performant, proven correct, easily maintainable, extensible progra...
We present a comprehensive approach to performing data flow analysis in parallel. We identify three ...
Data flow analysis is a well studied family of static program analyses. A rich theoretical basis for...
An exhaustive dataflow-analysis algorithm associates with each point in a program a set of “dataflow...
We present a comprehensive approach to performing data flow analysis in parallel. We identify three ...
AbstractThis paper presents a demand transformation analysis that maps a predicate's output demands ...
The need for more processing power has spurred the development of new processor architectures. A pro...
Information about which pairs of statements in a concurrent program can execute in parallel is impor...
This paper describes a general framework and several specific techniques for cause-effect analysis: ...
The high cost and growing importance of interprocedural data flow analysis have led to an in-creased...
Information about which pairs of statements in a concurrent program can execute in parallel is impor...
This paper concerns the solution of demand versions of interprocedural analysis problems. In a deman...
Data flow analysis is a compile-time analysis technique that gathers information about definitions a...
Standard techniques for analysing sequential programs are severely constrained when applied to a con...
This paper concerns the solution of demand versions of interprocedural analysis problems. In a deman...