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A metaheuristic search framework to derive Cancer Care Services from business process models

Aljawawdeh, Hamzeh; Odeh, Mohammed; Simons, Christopher; Lebzo, Nawras

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Authors

Hamzeh Aljawawdeh

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Mohammed Odeh Mohammed.Odeh@uwe.ac.uk
Associate Professor in Software Engineering

Nawras Lebzo



Abstract

Cancer Care involves not only handling patients' medical or physical needs but also other services to facilitate patient needs which are underpinned by appropriate software systems that assist in patient care processes. The Service-Oriented Architecture (SOA) model of computing has become widely adopted and can provide efficient and agile business solutions in the face of rapid changes to business requirements. Instead of adopting a more traditional way of building an IT system for Cancer Care by rigidly piecing together a collection of hardware, software and networking, SOA offers the opportunity to build the IT systems in an increasingly flexible and reconfigurable way. However, current service identification methods can suffer from shortcomings such as a lack of computational support, and not being able to address all the necessary activities of the service identification. To address these shortcomings, this paper presents a comprehensive metaheuristic search framework for deriving SOA-based services applied to Cancer Care business process models. This framework is evaluated using both quantitative and qualitative methods with the help of domain experts at King Hussein Cancer Centre (KHCC), Jordan. Evaluation by domain experts confirmed that the resulting services are feasible (i.e., valid services that can be practically applied for real-life projects) that the domain experts might not have arrived at manually. Statistical analysis shows candidate services produced by the search-based framework are superior to the services produced manually by domain experts at KHCC with respect to metrics for coupling and cohesion.

Citation

Aljawawdeh, H., Odeh, M., Simons, C., & Lebzo, N. (2019). A metaheuristic search framework to derive Cancer Care Services from business process models. In Proceedings - 2018 1st International Conference on Cancer Care Informatics (CCI) (142-151). https://doi.org/10.1109/CANCERCARE.2018.8618153

Conference Name 2018 1st International Conference on Cancer Care Informatics (CCI)
Conference Location Amman, Jordan
Start Date Nov 19, 2018
End Date Nov 21, 2018
Acceptance Date Nov 18, 2018
Online Publication Date Jan 21, 2019
Publication Date Jan 17, 2019
Deposit Date Jan 25, 2019
Publicly Available Date Jan 28, 2019
Peer Reviewed Peer Reviewed
Pages 142-151
Book Title Proceedings - 2018 1st International Conference on Cancer Care Informatics (CCI)
ISBN 9781728114477
DOI https://doi.org/10.1109/CANCERCARE.2018.8618153
Keywords Cancer Care Informatics, service identification methods, search-based software engineering, business process modelling
Public URL https://uwe-repository.worktribe.com/output/853501
Publisher URL http://dx.doi.org/10.1109/CANCERCARE.2018.8618153
Additional Information Additional Information : (c) 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Title of Conference or Conference Proceedings : 2018 1st International Conference on Cancer Care Informatics (CCI)

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