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dc.contributor.authorBrake, Nevon
dc.contributor.otherQueen's University (Kingston, Ont.). Theses (Queen's University (Kingston, Ont.))en
dc.date2008-06-28 19:36:43.291en
dc.date.accessioned2008-07-08T17:14:44Z
dc.date.available2008-07-08T17:14:44Z
dc.date.issued2008-07-08T17:14:44Z
dc.identifier.urihttp://hdl.handle.net/1974/1302
dc.descriptionThesis (Master, Computing) -- Queen's University, 2008-06-28 19:36:43.291en
dc.description.abstractAutonomic Computing is an approach to designing systems that are capable of self-management. Fundamental to the autonomic ideal is a software's awareness of and ability to tune parameters that affect metrics like performance and security. Traditionally, these parameters are tuned by human experts with extensive knowledge of parameter names and effects---existing software was not designed to be self-tuning. Efforts to automate the isolation and tuning of parameters have yielded encouraging results. However, the parameters are identified manually. This thesis proposes the adaptation of reverse engineering techniques for automating the recovery of software tuning parameters. Tuning parameters from several industrially relevant applications are studied for patterns of use. These patterns are used to classify the parameters into a taxonomy, and to develop a metamodel of the source code elements and relationships needed to express them. An extractor is then built to obtain instances of the relationships from source code. The relationships are represented as graphs, which are manipulated and queried for instances of tuning parameter patterns. The recovery is implemented as a tool for finding tuning parameters in applications. Experimental results show that the approach is effective at recovering documented tuning parameters, as well as other undocumented ones. The results also indicate that the tuning parameter patterns are not specific to a particular application, or application domain.en
dc.format.extent1394777 bytes
dc.format.mimetypeapplication/pdf
dc.languageenen
dc.language.isoenen
dc.relation.ispartofseriesCanadian thesesen
dc.rightsThis publication is made available by the authority of the copyright owner solely for the purpose of private study and research and may not be copied or reproduced except as permitted by the copyright laws without written authority from the copyright owner.en
dc.subjectSoftwareen
dc.subjectReverse-engineeringen
dc.subjectTuning parameteren
dc.subjectAutonomic computingen
dc.titleRecovering software tuning parametersen
dc.typethesisen
dc.description.degreeMasteren
dc.contributor.supervisorCordy, James R.en
dc.contributor.departmentComputingen


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