TY - JOUR
T1 - Understanding users’ behavior with software operation data mining
AU - Pachidi, S.
AU - van de Weerd, I.
AU - Spruit, M.
PY - 2014
Y1 - 2014
N2 - 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. © 2013 Elsevier Ltd. All rights reserved.
AB - 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. © 2013 Elsevier Ltd. All rights reserved.
U2 - 10.1016/j.chb.2013.07.049
DO - 10.1016/j.chb.2013.07.049
M3 - Article
SN - 0747-5632
VL - 30
SP - 583
EP - 594
JO - Computers in Human Behavior
JF - Computers in Human Behavior
IS - January
ER -