loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Paul A. Akiki ; Andrea Zisman and Amel Bennaceur

Affiliation: School of Computing and Communications, The Open University, Milton Keynes, U.K.

Keyword(s): Task Modelling Notation, Resource-driven Adaptation, Enterprise System.

Abstract: Enterprise Systems (ESs) can make use of tasks that depend on various types of resources such as robots and raw materials. The variability of resources can cause losses to enterprises. For example, the malfunctioning of robots at automated warehouses could delay product deliveries and cause financial losses. These losses can be avoided if resource-driven adaptation is supported. In order to support resource-driven adaptation in ESs, this paper presents a task modelling notation called SERIES, which is used for specifying the tasks of ESs at design time and the enterprise-specific task variants and property values at runtime. SERIES is complemented by a visual tool. We assessed the usability of SERIES using the cognitive dimensions framework. We also evaluated SERIES by developing resource-driven adaptation examples and measuring the performance overhead and source-code intrusiveness. The results showed that SERIES does not hinder performance and is non-intrusive.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.223.171.12

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Akiki, P.; Zisman, A. and Bennaceur, A. (2022). SERIES: A Task Modelling Notation for Resource-driven Adaptation. In Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-758-569-2; ISSN 2184-4992, SciTePress, pages 29-39. DOI: 10.5220/0011001800003179

@conference{iceis22,
author={Paul A. Akiki. and Andrea Zisman. and Amel Bennaceur.},
title={SERIES: A Task Modelling Notation for Resource-driven Adaptation},
booktitle={Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2022},
pages={29-39},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011001800003179},
isbn={978-989-758-569-2},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - SERIES: A Task Modelling Notation for Resource-driven Adaptation
SN - 978-989-758-569-2
IS - 2184-4992
AU - Akiki, P.
AU - Zisman, A.
AU - Bennaceur, A.
PY - 2022
SP - 29
EP - 39
DO - 10.5220/0011001800003179
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic