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Modelling Software Tasks for Supporting Resource-Driven Adaptation

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Enterprise Information Systems (ICEIS 2022)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 487))

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Abstract

Software systems execute tasks that depend on different types of resources. The variability of resources hinders the ability of software systems to execute important tasks. For example, in automated warehouses, malfunctioning robots could delay product deliveries and cause financial losses due to customer dissatisfaction. Resource-driven adaptation addresses the negative implications of resource variability. Hence, this paper presents a task modelling notation called SERIES, which is used for representing task models that support resource-driven adaptation in software systems. SERIES is complemented by a tool that enables software practitioners to create and modify task models. SERIES was evaluated through a study with software practitioners. The participants of this study were asked to explain and create task models and then provide their feedback on the usability of SERIES and the clarity of its semantic constructs. The results showed a very good user performance in explaining and creating task models using SERIES. These results were reflected in the feedback of the participants and the activities that they performed using SERIES.

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Acknowledgements

This work was supported by the Engineering and Physical Sciences Research Council [grant numbers EP/V026747/1, EP/R013144/1].

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Authors and Affiliations

  1. Department of Computer Science, Notre Dame University-Louaize, Zouk Mosbeh, Lebanon

    Paul A. Akiki

  2. School of Computing and Communications, The Open University, Milton Keynes, UK

    Andrea Zisman & Amel Bennaceur

Authors
  1. Paul A. Akiki
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  2. Andrea Zisman
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  3. Amel Bennaceur
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Correspondence to Paul A. Akiki .

Editor information

Editors and Affiliations

  1. Polytechnic Institute of Setúbal/ INSTICC, Setúbal, Portugal

    Joaquim Filipe

  2. Warsaw University of Technology, Warsaw, Poland

    Michał Śmiałek

  3. George Mason University, Fairfax, VA, USA

    Alexander Brodsky

  4. ESEO, ERIS, Angers, France

    Slimane Hammoudi

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Akiki, P.A., Zisman, A., Bennaceur, A. (2023). Modelling Software Tasks for Supporting Resource-Driven Adaptation. In: Filipe, J., Śmiałek, M., Brodsky, A., Hammoudi, S. (eds) Enterprise Information Systems. ICEIS 2022. Lecture Notes in Business Information Processing, vol 487. Springer, Cham. https://doi.org/10.1007/978-3-031-39386-0_12

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  • DOI: https://doi.org/10.1007/978-3-031-39386-0_12

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