Lessons Learned from Developing Prototypes for Customer Complaint Validation

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    2 Citations (Scopus)
    31 Downloads (Pure)

    Abstract

    This research introduces two prototypes installed in vehicles and a cloud service for autonomous collection of data. The prototypes utilize camera, location data, and timestamps to help those responsible for managing customer complaints, and to improve the overall quality of the provided customer service. The use of the system is illustrated by two cases: tracking and photographing bus stops, and tracking and photographing recycling areas. The first prototype is implemented for the Android mobile platform and the second one for the Raspberry Pi single-board computer. This paper discusses the differences and challenges faced in designing and implementing the two prototypes for different platforms.
    Original languageEnglish
    Title of host publicationProceedings of the SQAMIA 2018: 7th Workshop of Software Quality, Analysis, Monitoring, Improvement, and Applications
    PublisherCEUR-WS
    Number of pages8
    Publication statusPublished - Aug 2018
    Publication typeA4 Article in a conference publication
    Event7th Workshop of Software Quality, Analysis, Monitoring, Improvement, and Applications: SQAMIA -
    Duration: 27 Aug 201830 Aug 2018

    Publication series

    NameCEUR Workshop Proceedings
    PublisherCEUR Workshop Proceedings
    ISSN (Electronic)1613-0073

    Conference

    Conference7th Workshop of Software Quality, Analysis, Monitoring, Improvement, and Applications
    Period27/08/1830/08/18

    Publication forum classification

    • Publication forum level 1

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