Process Mining for Cloud-Based Applications: A Systematic Literature Review

被引:8
作者
El-Gharib, Najah Mary [1 ]
Amyot, Daniel [1 ]
机构
[1] Univ Ottawa, Sch Elect Engn & Comp Sci, Ottawa, ON, Canada
来源
2019 IEEE 27TH INTERNATIONAL REQUIREMENTS ENGINEERING CONFERENCE WORKSHOPS (REW 2019) | 2019年
基金
加拿大自然科学与工程研究理事会;
关键词
Cloud application; process mining; requirements elicitation; user behavior; FRAMEWORK; SERVICES;
D O I
10.1109/REW.2019.00012
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Process mining uses event log data to discover processes, hence enabling multiple requirements elicitation activities. As the number of applications deployed on a cloud infrastructure is increasing, it becomes important to understand their processes and the ways these existing systems are actually used. However, the cloud brings new challenges to process mining that deserve special attention. This paper reports on a systematic literature review based on a selection of 27 papers. The aim is to assess the applicability of process mining techniques to cloud-based applications, to document the processes of these existing systems. We observe there is a growing interest in applying process mining to these areas, and we report on algorithms, tools, and validation approaches taken. We also report on many cloud-specific challenges for process mining, which require further attention from the research community.
引用
收藏
页码:34 / 43
页数:10
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