Handling Sudden and Recurrent Changes in Business Process Variability: Change Mining based Approach

被引:0
作者
Hmami, Asmae [1 ]
Fredj, Mounia [1 ]
Sbai, Hanae [2 ]
机构
[1] Univ Mohammed V Rabat, ENSIAS, AlQualsadi Res Team, Rabat, Morocco
[2] Univ Hassan II Casablanca, Fac Sci & Technol, Mohammadia, Morocco
关键词
Component; variability; process variant; configurable process model; process mining; change mining; concept drift; PROCESS MODELS;
D O I
10.14569/IJACSA.2021.0120479
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Changes are random and unavoidable actions in business processes, and they are frequently overlooked by managers, especially when managers need to deal with a collection of process variants. Because they must manage every single business process variant separately which is a time-consuming task. They exist many approaches to manage a collection of business process and deal with variability. Such as process mining approaches, that can discover configurable business process models, enhancing them and verify conformity automatically. However, those approaches do not cover changes and concept drift that occur over time. This paper presents a novel change mining approach that discovers changes in a collection of event logs and reports them on a change log. This change log can be analyzed to determine whether the changes are sudden or recurrent and recommend afterward some improvement to the configurable process model.
引用
收藏
页码:632 / 640
页数:9
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