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Identifying Cause & Effect Relations between Events in Concurrent Event-Based Components
Edinburgh, UK September 23-September 27
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ASE.2002.111502117th IEEE International Conference on ...
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Marcio S. Dias, Debra J. Richardson, "Identifying Cause & Effect Relations between Events in Concurrent Event-Based Components," Automated Software Engineering, International Conference on, pp. 245, 17th IEEE International Conference on Automated Software Engineering (ASE'02), 2002.
 
 
BibTex
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@article{ 10.1109/ASE.2002.1115021,
author = {Marcio S. Dias and Debra J. Richardson},
title = {Identifying Cause & Effect Relations between Events in Concurrent Event-Based Components},
journal ={Automated Software Engineering, International Conference on},
volume = {0},
year = {2002},
issn = {1527-1366},
pages = {245},
doi = {http://doi.ieeecomputersociety.org/10.1109/ASE.2002.1115021},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Automated Software Engineering, International Conference on
TI - Identifying Cause & Effect Relations between Events in Concurrent Event-Based Components
SN - 1527-1366
SP
EP
A1 - Marcio S. Dias,
A1 - Debra J. Richardson,
PY - 2002
KW - null
VL - 0
JA - Automated Software Engineering, International Conference on
ER -
 
Marcio S. Dias, University of California at Irvine
Debra J. Richardson, University of California at Irvine
Concurrent event-based components present characteristics that impose difficulties in understanding their dynamic behavior, mainly for interpreting the cause & effect relations between input and output events in component interactions. In this paper, we propose a technique to help in the process of understanding the dynamic behavior of concurrent event-based components. It checks the event trace (generated by monitoring the component execution) against a specification of the component communication protocol (even with a possibly incomplete or incorrect specification). The technique identifies and presents the more probable cause & effect relations between the component events, providing also a measurement related to this probability.
Citation:
Marcio S. Dias, Debra J. Richardson, "Identifying Cause & Effect Relations between Events in Concurrent Event-Based Components," ase, pp.245, 17th IEEE International Conference on Automated Software Engineering (ASE'02), 2002
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