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Metadata Action Network Model for Cloud Based Development Environment

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Trends and Innovations in Information Systems and Technologies (WorldCIST 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1161))

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Abstract

Cloud-based software development solutions (entitled as Platform-as-a-Service, Low-Code platforms) have been promoted as a game changing paradigm backed by model-driven architecture and supported by various cloud-based services. With the engagement of a sheer number of platform users (experienced, novel, or citizen developers) these platforms generate invaluable data and that can be considered as user metadata actions. As cloud-based development solutions provide novice users with a new development experience (performing data actions that altogether leads to a successful software app), users often times face with uncertainty about development performance; how good or complete is app development? Thus, the issue addressed in this research is how to measure user performance by using digital trace data generated on the cloud platform from a Network Science perspective. This research proposes a novel approach to leveraging digital trace data on Platform-as-a-Service (PaaS) from a Network Science perspective. The proposed approach considers the importance of digital trace data as metadata actions on PaaS and introduces a network model (so-called Metadata Action Network), which is claimed to be the result of reconstruction of events of developer’s actions. We show suitability of the proposed approach to better understanding of real-world digital trace data on PaaS solution and elaborate basic performance analytics on a PaaS solution with research and practical implications.

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Author information

Authors and Affiliations

  1. Kadir Has University, 34083, Istanbul, Turkey

    Mehmet N. Aydin & I. Safak

  2. Mimar Sinan Fine Arts University, 34083, Istanbul, Turkey

    Ziya N. Perdahci

  3. University of Twente, 34083, Enschede, The Netherlands

    J. (Jos) van Hillegersberg

Authors
  1. Mehmet N. Aydin
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  2. Ziya N. Perdahci
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  3. I. Safak
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  4. J. (Jos) van Hillegersberg
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Corresponding author

Correspondence to Mehmet N. Aydin .

Editor information

Editors and Affiliations

  1. Departamento de Engenharia Informática, Universidade de Coimbra, Coimbra, Portugal

    Álvaro Rocha

  2. College of Engineering, The Ohio State University, Columbus, OH, USA

    Hojjat Adeli

  3. FEUP, Universidade do Porto, Porto, Portugal

    Luís Paulo Reis

  4. DIMES, Università della Calabria, Arcavacata, Italy

    Sandra Costanzo

  5. Faculty of Electrical Engineering, University of Montenegro, Podgorica, Montenegro

    Irena Orovic

  6. Universidade Portucalense, Porto, Portugal

    Fernando Moreira

Appendix

Appendix

METADATA ACTIONS

NETWORK CONSTRUCTION

NodeCreation

Edge Creation

NodeType

ADD_ENTITY_TO_FIELD

 

x

 

ADD_ENTITY_TO_MENU

 

x

 

ADD_ENTITY_TO_SCRIPT

 

x

 

ADD_ENTITY_TO_LIBRARY

x

x

C

ADD_GLOBAL_FUNCTION_TO_SCRIPT

 

x

 

ADD_ITEM_TO_LIST

 

x

 

ADD_LIBRARY_TO_SCRIPT

x

x

C

ADD_LIST_TO_FIELD

 

x

 

ADD_PRIMARY_KEY_TO_ENTITY

 

x

 

ADD_SCRIPT_TO_MENU

 

x

 

ADD_SCRIPT_TO_TRANSIENT_FIELD

 

x

 

ADD_SCRIPT_TO_REST

x

x

C

ADD_SUBMENU_TO_MENU

 

x

 

ADD_TERM_TO_ENTITY

 

x

 

ADD_TERM_TO_FIELD

 

x

 

ADD_TRANSIENT_ENTITY_TO_MENU

 

x

 

ADD_TRANSIENT_ENTITY_TO_SCRIPT

 

x

 

ADD_TRANSIENT_FIELD_TO_TRANSIENT_ENTITY

 

x

 

CREATE_ECONTAINER_COMPONENT

x

 

M

CREATE_ENTITY

x

 

M

CREATE_LIST

x

 

M

CREATE_LIST_ITEM

x

 

M

CREATE_NEW_GLOBAL_FUNCTIOIN

x

 

C

CREATE_NEW_MENU

x

 

V

CREATE_NEW_SUB_MENU

x

 

V

CREATE_REST_SERVICE

x

 

C

CREATE_SCRIPT

x

 

C

CREATE_TERM

x

 

M

CREATE_TRANSIENT_ENTITY

x

 

V

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Aydin, M.N., Perdahci, Z.N., Safak, I., van Hillegersberg, J.(. (2020). Metadata Action Network Model for Cloud Based Development Environment. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S., Orovic, I., Moreira, F. (eds) Trends and Innovations in Information Systems and Technologies. WorldCIST 2020. Advances in Intelligent Systems and Computing, vol 1161. Springer, Cham. https://doi.org/10.1007/978-3-030-45697-9_52

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