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Heroku-Based Innovative Platform for Web-Based Deployment in Product Development at Axis
Mpya Sci & Tech, Gothenburg, Sweden.
Axis Communications, Lund, Sweden.
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).ORCID iD: 0000-0001-9376-9844
2021 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 9, p. 10805-10819Article in journal (Other academic) Published
Abstract [en]

The introduction of cloud technology has reduced the feedback time in software development for many companies. However, companies require significant resources to run applications in an Infrastructure as a Service. The study aims at developing an innovation platform which enables faster deployment of web-based applications. The innovation platform is an add-on for a cloud service, its purpose is to allow developers to set up and use multiple cameras in a cloud environment. Furthermore, the study investigates the drivers and value created by the platform for Axis. We developed a proof of concept built on the innovation platform, using the design science methodology and evaluated it in a focus group. The prototype was a mock version of a grocery store’s internal website, used to show the potential of the innovation platform. Moreover, we conducted semi-structured interviews to investigate the drivers for implementing the platform and the value it created. Results showed that the implementation of the prototype may make the deployment of web-based applications easier. A majority of the interviewees and the focus group participants agreed that the development of the innovation platform should continue and be tested to adopt the platform as a complement to AWS. However, the degree to which the platform should be open source needs a more clear management strategy. The prototype is seen as an innovation platform which may be used to quickly experiment with new ideas. The key drivers for implementing a prototype entails reduced cost, faster time to market and reduced complexity of web-based deployments.

Place, publisher, year, edition, pages
IEEE, 2021. Vol. 9, p. 10805-10819
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:mau:diva-40288DOI: 10.1109/ACCESS.2021.3050255ISI: 000610881100001Scopus ID: 2-s2.0-85099565280OAI: oai:DiVA.org:mau-40288DiVA, id: diva2:1524441
Available from: 2021-02-01 Created: 2021-02-01 Last updated: 2024-02-05Bibliographically approved

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Munir, Hussan

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