• 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