Software monitoring and logging is one of the most important tools a software
engineer has when faced with the challenge of auditing or analysing a software
system. However, the difficulty in effectively monitoring a system, managing its
logs and cross referencing them with source code makes software re-engineering a
rigorous and complex task. This thesis aims to address this issue by providing
a framework that enables pattern matching between a software log and an event
pattern expression that is based on a monitoring policy. The framework consists of
parsers and annotators that facilitates transformation of a monitoring policy into
a Petri Net as well as source code annotation for gathering data through logged
events. It further expands upon this work by proposing an adaptive logging framework
that will greatly improve the quality of log management by autonomically
adjusting the amount of information logged based on the application???s operational
environment. Finally, a prototype system of the policy driven monitoring framework
is implemented and tested with applications of different scales as a proof of
concept for the proposed framework.
| Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:OWTU.10012/3016 |
| Date | January 2007 |
| Creators | Wong, Yat Fai Alfred |
| Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
| Language | English |
| Detected Language | English |
| Type | Thesis or Dissertation |
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