DocumentCode
3197461
Title
Retrieving relevant reports from a customer engagement repository
Author
Thakkar, Dharmesh ; Jiang, Zhen Ming ; Hassan, Ahmed E. ; Hamann, Gilbert ; Flora, Parminder
Author_Institution
Software Anal. & Intell. Lab. (SAIL), Queen´´s Univ., Kingston, ON
fYear
2008
fDate
Sept. 28 2008-Oct. 4 2008
Firstpage
117
Lastpage
126
Abstract
Customers of modern enterprise applications commonly engage the vendor of the application for on-site troubleshooting and fine tuning of large deployments. The results of these engagements are documented in customer engagement reports. The reports contain valuable information about the observed symptoms, identified problems, attempted workarounds and the final solution. Such information is valuable in supporting analysts in future engagements. Engagement reports are stored in a customer engagement repository. Retrieving relevant reports from such a repository is usually ad-hoc and is based on using basic text search. We present a technique to retrieve relevant reports from an engagement repository. The technique takes as input an execution log for a particular deployment and retrieves relevant engagement reports. The technique identifies relevant reports by comparing execution logs attached to the report stored in the engagement repository. The technique returns two types of relevant reports: (1) reports for engagement with similar operational profiles to identify prior engagements with similar workloads and (2) reports for engagement with similar signature profiles to identify prior engagements with similar problems. Using our technique, support analysts can locate relevant engagement reports and use the knowledge in them to quickly resolve problems at hand. To demonstrate the feasibility of our technique, we present two case studies: one case study uses an industry standard open source application, the Dell DVD Store, while the other case study uses a large enterprise application. The results of our case study show that our technique performs well in identifying relevant reports with high precision and high recall.
Keywords
business data processing; relevance feedback; customer engagement repository; enterprise application; industry standard open source application; on-site troubleshooting; operational profiles; relevant engagement reports retrieval; Application software; DVD; Hardware; Information analysis; Information retrieval; Motion analysis; Operating systems; Programming; System recovery; Yarn;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Maintenance, 2008. ICSM 2008. IEEE International Conference on
Conference_Location
Beijing
ISSN
1063-6773
Print_ISBN
978-1-4244-2613-3
Electronic_ISBN
1063-6773
Type
conf
DOI
10.1109/ICSM.2008.4658060
Filename
4658060
Link To Document