Using Model-based Approach for Assessing Standard Operating Procedures

Mohammad Alhaj

Abstract

Standard Operating Procedures are essential for organizations that want to maintain an efficient and organized local tasks. They are used develop the activities important for completing their internal operations in accordance with industry regulations and business standards. A growing interest and investment have been taken regarding developing and assessing the SOPs. It is desirable to detect any deficiencies in the SOPs that contradict with the policies and regulations and do not allow achieving the business goals early in the process when corrective actions can be more easily made. This paper proposes a model-based approach that generates goal and scenario models for the standard operating procedures, augmented with quantitative indicators. The generated models allow to model the behaviour of the standard operating procedures in a formal way and evaluate their performance measures.

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Paper Citation


in Harvard Style

Alhaj M. (2020). Using Model-based Approach for Assessing Standard Operating Procedures.In Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE, ISBN 978-989-758-421-3, pages 359-364. DOI: 10.5220/0009388903590364


in Bibtex Style

@conference{enase20,
author={Mohammad Alhaj},
title={Using Model-based Approach for Assessing Standard Operating Procedures},
booktitle={Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,},
year={2020},
pages={359-364},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009388903590364},
isbn={978-989-758-421-3},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,
TI - Using Model-based Approach for Assessing Standard Operating Procedures
SN - 978-989-758-421-3
AU - Alhaj M.
PY - 2020
SP - 359
EP - 364
DO - 10.5220/0009388903590364