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- W1497199239 abstract "Suppose that whenever event x occurs, a second event y must subsequently occur. We say that x “causes” y, or y is causally dependent on x. Deterministic causality abounds in software where execution of one routine can necessarily force execution of a subsequent sub-routine. Discovery of such causal dependencies can be an important step to understanding the structure of undocumented, legacy code. In this paper we describe a methodology based on formal concept analysis that uncovers possible causal dependencies in execution trace streams. We first walk through the process using a small synthetic, but easily comprehensible, example. Then we illustrate its potential using 57 threads involving 18,969 executed operations that were monitored in an open source middleware system." @default.
- W1497199239 created "2016-06-24" @default.
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- W1497199239 date "2006-01-01" @default.
- W1497199239 modified "2023-10-18" @default.
- W1497199239 title "Using Concept Lattices to Uncover Causal Dependencies in Software" @default.
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- W1497199239 doi "https://doi.org/10.1007/11671404_16" @default.
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