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dc.contributor.authorFahmi, Faisalen_US
dc.contributor.authorHuang, Pei-Shuen_US
dc.contributor.authorWang, Feng-Jianen_US
dc.date.accessioned2020-07-01T05:21:48Z-
dc.date.available2020-07-01T05:21:48Z-
dc.date.issued2019-01-01en_US
dc.identifier.isbn978-1-7281-2607-4en_US
dc.identifier.issn0730-3157en_US
dc.identifier.urihttp://dx.doi.org/10.1109/COMPSAC.2019.10195en_US
dc.identifier.urihttp://hdl.handle.net/11536/154478-
dc.description.abstractWorkflow models are widely applied in business software design. A workflow model contains a set of systematic ordered tasks to achieve designated business goal(s) under the designed flow control. Analyzing artifact usage during design phase can prevent unexpected artifact result due to abnormal artifact operation(s). A sequential anomaly indicates a pair of activities operating on the same artifact that can result in redundant write or missing production. On the other hand, the iteration of a loop structure in a workflow cannot be statically analyzed, thus, detecting process of artifact anomalies in a loop is costly. In this paper, we present an effective method to detect all anomalies associated with a loop by removing the redundant computation due to the repeated structure of the body and control in the iterations. After the removing, the anomalies can be detected on a single iteration generated instead. Here, the process of anomaly detection is now simplified into two phases: First, a workflow model is transformed into a corresponding C-tree structure and next, the proposed anomaly detection methodology is applied to the C-tree. Compared with current approaches, our method can reduce the space complexity and decrease the execution times of anomaly detection as linear.en_US
dc.language.isoen_USen_US
dc.subjectartifact anomalyen_US
dc.subjectworkflowen_US
dc.subjectredundant computationen_US
dc.titleImproving the Detection o Sequential Anomalies Associated with a Loopen_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1109/COMPSAC.2019.10195en_US
dc.identifier.journal2019 IEEE 43RD ANNUAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE (COMPSAC), VOL 2en_US
dc.citation.spage127en_US
dc.citation.epage134en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.department電機資訊國際碩士學位學程zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.contributor.departmentEECS International Graduate Program-Masteren_US
dc.identifier.wosnumberWOS:000538781300022en_US
dc.citation.woscount0en_US
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