Extracting accurate performance indicators from execution logs using process models

Zaki, Nesma M.; Awad, Ahmed; Ezat, Ehab

doi:10.1109/aiccsa.2015.7507173

Cited by 6 publications

(10 citation statements)

References 16 publications

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“…Raw performance measure (RW) is concerned with deciding different performance measures for each resource in the execution log [5]. It is stated as a tuple for which the measure is calculated.…”

Section: Co-working Historymentioning

confidence: 99%

“…RW can measure a resource with respect to its effective time, waiting time, service time, etc. In this paper, only the effective time is considered from RW as presented in [5].…”

Section: Co-working Historymentioning

confidence: 99%

“…Part 1, The preprocessing steps: The raw performance measures (RW) are generated from the implementation of the approach presented in [5]. Both of the event log and the raw performance measures (RW) are inputs to a set of preprocessing steps to obtain the co-working relationships.…”

Section: B Calculating Co-working Historymentioning

confidence: 99%

“…Both of the event log and the raw performance measures (RW) are inputs to a set of preprocessing steps to obtain the co-working relationships. After extracting the event log and RW from [5], data preprocessing has been conducted as follows: (1) filter out cases in which sum METRIC-VALUE are less than 0, and cases that contain less than three activities, (2) choose the effective time as a measure for the proposed approach, (3) find the latest resource who performed each activity in each case within the event log and RW, and finally (4) detect whether the resource executes the same activity more than once in the same case. In the last step, the average is calculated as the effective time for the activity.…”

Section: B Calculating Co-working Historymentioning

confidence: 99%

“…Then, Section II-B introduces the event log concept as the main input to the proposed approach. Finally in section II-C, the raw performance measure [5] is explained to be used later in extracting the co-working history.…”

Section: Introductionmentioning

confidence: 99%

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A Resource Recommendation Approach based on Co-Working History

Abdulhameed¹,

Helal²,

Awad³

et al. 2018

ijacsa

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Abstract-Recommending the right resource to execute the next activity of a running process instance is of utmost importance for the overall performance of the business process, as well as the resource and for the whole organization. Several approaches have recommended a resource based on the task requirements and the resource capabilities. Moreover, the process execution history and the logs have been used to better recommend a resource based on different human-resource recommender criteria like frequency and speed of execution, etc. These approaches considered the recommendation based on the individual's execution history of the task that will be allocated to the resource. In this paper, a novel approach based on the co-working history of resources has been proposed. This approach considers the resources that had executed the previous tasks in the current running process instances. Then, it recommends a resource that has the best harmony with the rest of the resources.

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Section: Co-working Historymentioning

confidence: 99%

“…RW can measure a resource with respect to its effective time, waiting time, service time, etc. In this paper, only the effective time is considered from RW as presented in [5].…”

Section: Co-working Historymentioning

confidence: 99%

Section: B Calculating Co-working Historymentioning

confidence: 99%

Section: B Calculating Co-working Historymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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