We present a model of causality which is defined by the intersection of two distinct closure systems, ${cal I}$ and ${cal T}$. Next we present empirical evidence to demonstrate that this model has practical validity by examining computer trace data to reveal causal dependencies between individual code modules. From over 498,000 events in the transaction manager of an open source system we tease out 66 apparent causal dependencies. Finally, we explore how to mathematically model the transformation of a causal topology resulting from unforlding events.
@InProceedings{pfaltz:DagSemProc.06341.3, author = {Pfaltz, John L.}, title = {{Closure and Causality}}, booktitle = {Computational Structures for Modelling Space, Time and Causality}, pages = {1--13}, series = {Dagstuhl Seminar Proceedings (DagSemProc)}, ISSN = {1862-4405}, year = {2007}, volume = {6341}, editor = {Ralph Kopperman and Prakash Panangaden and Michael B. Smyth and Dieter Spreen}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.06341.3}, URN = {urn:nbn:de:0030-drops-8978}, doi = {10.4230/DagSemProc.06341.3}, annote = {Keywords: Closure, causality, antimatroid, temporal, software engineering} }
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