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Using Automatic Process Clustering for Design Recovery and Distributed Debugging
June 1995 (vol. 21 no. 6)
pp. 515-527
ASCII Text
x 
 
Thomas Kunz, James P. Black, "Using Automatic Process Clustering for Design Recovery and Distributed Debugging," IEEE Transactions on Software Engineering, vol. 21, no. 6, pp. 515-527, June, 1995.
 
 
BibTex
x
 
@article{ 10.1109/32.391378,
author = {Thomas Kunz and James P. Black},
title = {Using Automatic Process Clustering for Design Recovery and Distributed Debugging},
journal ={IEEE Transactions on Software Engineering},
volume = {21},
number = {6},
issn = {0098-5589},
year = {1995},
pages = {515-527},
doi = {http://doi.ieeecomputersociety.org/10.1109/32.391378},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Software Engineering
TI - Using Automatic Process Clustering for Design Recovery and Distributed Debugging
IS - 6
SN - 0098-5589
SP515
EP527
EPD - 515-527
A1 - Thomas Kunz,
A1 - James P. Black,
PY - 1995
KW - Cluster analysis
KW - design recovery
KW - distributed debugging
KW - Hermes
KW - process clustering
KW - reverse engineering.
VL - 21
JA - IEEE Transactions on Software Engineering
ER -
 
Distributed applications written in Hermes typically consist of a large number of sequential processes. The use of a hierarchy of process clusters can facilitate the debugging of such applications. Ideally, such a hierarchy should be derived automatically. This paper discusses two approaches to automatic process clustering, one analyzing runtime information with a statistical approach and one utilizing additional semantic information. Tools realizing these approaches were developed and a quantitative measure to evaluate process clusters is proposed. The results obtained under both approaches are compared, and indicate that the additional semantic information improves the cluster hierarchies derived. We demonstrate the value of automatic process clustering with an example. It is shown how appropriate process clusters reduce the complexity of the understanding process, facilitating program maintenance activities such as debugging.

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Index Terms:
Cluster analysis, design recovery, distributed debugging, Hermes, process clustering, reverse engineering.
Citation:
Thomas Kunz, James P. Black, "Using Automatic Process Clustering for Design Recovery and Distributed Debugging," IEEE Transactions on Software Engineering, vol. 21, no. 6, pp. 515-527, June 1995, doi:10.1109/32.391378
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