@inproceedings{de9212d428394ac8ad01cbf79e756c75,
title = "A Method to Improving Artifact Anomaly Detection in a Temporal Structured Workflow",
abstract = "During the design phase of a workflow process, detecting anomalous operations on artifacts is important for preventing errors and unexpected behaviors of the process dynamically. For temporal structured workflows (TSWs), which involve specifying the min and max execution time intervals for each activity, there are few studies on analyzing artifact anomalies compared to non-Temporal workflows. Additionally, the existing approaches designed for TSWs are inaccurate in detecting these anomalies either. To improve the analysis of TSWs, this paper presents an improved methodology based on an extended SP-Tree structure, called TSP-Tree. Our approach involves two steps: first, transforming a TSW into a TSP-Tree, and then applying several algorithms to TSP-Tree to detect artifact anomalies.",
keywords = "artifact anomalies, temporal artifact anomaly detection, temporal structured workflow",
author = "Abouzeid, {Mahmoud M.} and Huang, {Pei Shu} and Wang, {Feng Jian}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Software Services Engineering, SSE 2023 ; Conference date: 02-07-2023 Through 08-07-2023",
year = "2023",
doi = "10.1109/SSE60056.2023.00039",
language = "English",
series = "Proceedings - 2023 IEEE International Conference on Software Services Engineering, SSE 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "242--250",
editor = "Claudio Ardagna and Nimanthi Atukorala and Chang, {Carl K.} and Chang, {Rong N.} and Jing Fan and Geoffrey Fox and Sumi Helal and Zhi Jin and Qinghua Lu and Tiberiu Seceleanu and Yau, {Stephen S.}",
booktitle = "Proceedings - 2023 IEEE International Conference on Software Services Engineering, SSE 2023",
address = "United States",
}