International journal of computing and digital system/International Journal of Computing and Digital Systems, Dec 28, 2023
Computer systems must respond to frequently changing user needs in order to remain operational. T... more Computer systems must respond to frequently changing user needs in order to remain operational. Their increasing size and operational complexities intend to make them difficult to maintain. A change in a business process is a complicated task especially during the process execution, where a small change can significantly affect the rest of the system with undesirable impacts. In this work, we focus on studying the problem of change impact propagation in Business Process Management (BPM). We propose in this paper an approach that can predict the level of change (LC) in business models. There are three level of changes (Low, Medium, and High) based on structural metrics as used in the predictive model. Five different machine learning (ML) algorithms are used in this model to show their comparison analysis. This issue is important as the LC in business process before implementing any changes helps the organization to make decision in prior. To validate the purposed approach, the experiments conducted in this study show the improved performance using the SVM and Guassian Naïve Bayes algorithms.
2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW)
The business process modeling has become a mature subject in the research of information systems ... more The business process modeling has become a mature subject in the research of information systems domain. Although, the business process models remain in consistent evolution to be available for the enterprises to better respond to the market needs and to inflect the needs of different stakeholders, in consequence to construct and preserve their competitive advantages. In this regard, we propose a declarative (rule-based) approach which exploit the relationships among the artifacts (e.g. activities, data, and roles) of a business process model. It may also consider the context of the change and the history of dependencies among different elements of the process. We may then experiment the change impact prediction using inference made by either the probabilities, knowledge-base, or evolutionary algorithms. It may help to better assess the volume of impact, as a result of the planned change.
International journal of computing and digital system/International Journal of Computing and Digital Systems, Dec 28, 2023
Computer systems must respond to frequently changing user needs in order to remain operational. T... more Computer systems must respond to frequently changing user needs in order to remain operational. Their increasing size and operational complexities intend to make them difficult to maintain. A change in a business process is a complicated task especially during the process execution, where a small change can significantly affect the rest of the system with undesirable impacts. In this work, we focus on studying the problem of change impact propagation in Business Process Management (BPM). We propose in this paper an approach that can predict the level of change (LC) in business models. There are three level of changes (Low, Medium, and High) based on structural metrics as used in the predictive model. Five different machine learning (ML) algorithms are used in this model to show their comparison analysis. This issue is important as the LC in business process before implementing any changes helps the organization to make decision in prior. To validate the purposed approach, the experiments conducted in this study show the improved performance using the SVM and Guassian Naïve Bayes algorithms.
2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW)
The business process modeling has become a mature subject in the research of information systems ... more The business process modeling has become a mature subject in the research of information systems domain. Although, the business process models remain in consistent evolution to be available for the enterprises to better respond to the market needs and to inflect the needs of different stakeholders, in consequence to construct and preserve their competitive advantages. In this regard, we propose a declarative (rule-based) approach which exploit the relationships among the artifacts (e.g. activities, data, and roles) of a business process model. It may also consider the context of the change and the history of dependencies among different elements of the process. We may then experiment the change impact prediction using inference made by either the probabilities, knowledge-base, or evolutionary algorithms. It may help to better assess the volume of impact, as a result of the planned change.
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Papers by Chahira CHERIF