Understanding users' behavior with software operation data mining

  • Authors:
  • Stella Pachidi;Marco Spruit;Inge Van De Weerd

  • Affiliations:
  • Department of Information and Computing Sciences, Utrecht University, P.O. Box 80.089, 3508 TB Utrecht, The Netherlands and Information, Logistics and Innovation Department, VU University Amsterda ...;Department of Information and Computing Sciences, Utrecht University, P.O. Box 80.089, 3508 TB Utrecht, The Netherlands;Information, Logistics and Innovation Department, VU University Amsterdam, De Boelelaan 1105, 1081HV Amsterdam, The Netherlands

  • Venue:
  • Computers in Human Behavior
  • Year:
  • 2014

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Abstract

Software usage concerns knowledge about how end-users use the software in the field, and how the software itself responds to their actions. In this paper, we present the Usage Mining Method to guide the analysis of data collected during software operation, in order to extract knowledge about how a software product is used by the end-users. Our method suggests three analysis tasks which employ data mining techniques for extracting usage knowledge from software operation data: users profiling, clickstream analysis and classification analysis. The Usage Mining Method was evaluated through a prototype that was executed in the case of Exact Online, the main online financial management application in the Netherlands. The evaluation confirmed the supportive role of the Usage Mining Method in software product management and development processes, as well as the applicability of the suggested data mining algorithms to carry out the usage analysis tasks.