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Conference on Software Maintenance and Reengineering (CSMR'06)
Scenario-Driven Dynamic Analysis for Comprehending Large Software Systems
Bari, Italy
March 22-March 24
ISBN: 0-7695-2536-9
ASCII Text
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Maher Salah, Spiros Mancoridis, Giuliano Antoniol, Massimiliano Di Penta, "Scenario-Driven Dynamic Analysis for Comprehending Large Software Systems," Software Maintenance and Reengineering, European Conference on, pp. 71-80, Conference on Software Maintenance and Reengineering (CSMR'06), 2006.
 
 
BibTex
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@article{ 10.1109/CSMR.2006.47,
author = {Maher Salah and Spiros Mancoridis and Giuliano Antoniol and Massimiliano Di Penta},
title = {Scenario-Driven Dynamic Analysis for Comprehending Large Software Systems},
journal ={Software Maintenance and Reengineering, European Conference on},
volume = {0},
year = {2006},
issn = {1052-8725},
pages = {71-80},
doi = {http://doi.ieeecomputersociety.org/10.1109/CSMR.2006.47},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Software Maintenance and Reengineering, European Conference on
TI - Scenario-Driven Dynamic Analysis for Comprehending Large Software Systems
SN - 1052-8725
SP71
EP80
A1 - Maher Salah,
A1 - Spiros Mancoridis,
A1 - Giuliano Antoniol,
A1 - Massimiliano Di Penta,
PY - 2006
KW - null
VL - 0
JA - Software Maintenance and Reengineering, European Conference on
ER -
 
Maher Salah, Drexel University
Spiros Mancoridis, Drexel University
Giuliano Antoniol, Ecole Polytechnique de Montreal
Massimiliano Di Penta, University of Sannio, Italy
Understanding large software systems is simplified when a combination of techniques for static and dynamic analysis is employed. Effective dynamic analysis requires that execution traces be generated by executing scenarios that are representative of the system?s typical usage. This paper presents an approach that uses dynamic analysis to extract views of a software system at different levels, namely (1) use cases views, (2) module interaction views, and (3) class interaction views. The proposed views can be used to help maintainers locate features to be changed. The proposed approach is evaluated against a large software system, the Mozilla web browser.
Citation:
Maher Salah, Spiros Mancoridis, Giuliano Antoniol, Massimiliano Di Penta, "Scenario-Driven Dynamic Analysis for Comprehending Large Software Systems," csmr, pp.71-80, Conference on Software Maintenance and Reengineering (CSMR'06), 2006
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