AbstractRedux is a tool that generates dynamic dataflow graphs. It generates these graphs by tracing a program's execution and recording every value-producing operation that takes place, building up a complete computational history of every value produced. For that execution, by considering the parts of the graph reachable from system call inputs, we can choose to see only the dataflow that affects the outside world. Redux works with program binaries, and thus is not restricted to programs written in any particular language.We explain how Redux works, and show how dynamic dataflow graphs give the essence of a program's computation. We show how Redux can be used for debugging and program slicing, and consider a range of other possible uses
Are imperative languages tied inseparably to the von Neumann model or can they be implemented in so...
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We suggest a method for compiling an arbitrary visual language V data flow diagrams with loops into ...
Abstract—Aggregated Dynamic Dataflow Graphs can assist programmers to uncover the main data paths of...
The paper introduces and specifies a formalism that provides complete representations of dataflow pr...
Reactive Programming is a way of programming designed to provide developers with the right abstracti...
Reactive Programming is a style of programming that provides developers with a set of abstractions t...
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We present a work in progress report on applying deforestation to distributed, dynamic dataflow prog...
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textMany challenges in software quality can be tackled with dynamic analysis. However, these techniq...
Flow graphs provide an explicit description of the parallelization of an application by mapping vert...
Dataflow graphs are a popular abstraction for describing computation, used in many systems for high-...
Detecting bugs plays a significant role in software development. Bugs may lead to unexpected behavio...
Are imperative languages tied inseparably to the von Neumann model or can they be implemented in so...
The correctness of a sequential program can be shown by the anno-tation of its control flow graph wi...
We suggest a method for compiling an arbitrary visual language V data flow diagrams with loops into ...
Abstract—Aggregated Dynamic Dataflow Graphs can assist programmers to uncover the main data paths of...
The paper introduces and specifies a formalism that provides complete representations of dataflow pr...
Reactive Programming is a way of programming designed to provide developers with the right abstracti...
Reactive Programming is a style of programming that provides developers with a set of abstractions t...
Partitioning and mapping are important design decisions in exploiting the parallelism of programs th...
AbstractThe tracer Hat records in a detailed trace the computation of a program written in the lazy ...
We present a work in progress report on applying deforestation to distributed, dynamic dataflow prog...
We present a new approach combining dynamic slicing with path conditions in dependence graphs enhanc...
textMany challenges in software quality can be tackled with dynamic analysis. However, these techniq...
Flow graphs provide an explicit description of the parallelization of an application by mapping vert...
Dataflow graphs are a popular abstraction for describing computation, used in many systems for high-...
Detecting bugs plays a significant role in software development. Bugs may lead to unexpected behavio...
Are imperative languages tied inseparably to the von Neumann model or can they be implemented in so...
The correctness of a sequential program can be shown by the anno-tation of its control flow graph wi...
We suggest a method for compiling an arbitrary visual language V data flow diagrams with loops into ...