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Future Intelligent Quality Assurance for Release Enhancement (fiQare) is a revolutionary new concept in safety, reliability and quality for IoT environments.
fiQare develops an innovative methodology based on artificial intelligence. We analyze FIWARE technology automatically using eight axes of ISO 25010 standard, to measure the quality of IoT (Internet of Things) Platforms, such as Smart Cities and Factory 4.0
fiQare takes FIWARE as a target for its analysis. FIWARE is a middleware for the development and deployment of future Internet applications. FIWARE open APIs are known as Generic Enablers (GEs); fiQare acts on these GEs, improving their quality.
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Smart Cities and IoT are the future of technology, and the biggest threat to its development is the loss of confidence due to security flaws in platforms and devices.
At IoT, safety should precede innovation.
IoT is leaving obsolete the laws necessary to regulate and standardize security policies. In this new environment, security breaches have the potential to endanger human life.
We follow the methodology known as “security by design” where we analyze FIWARE to find bugs and design flaws that would allow security attacks.
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When the identity of the device is related to the identity of a human being, the true value of IoT emerges. However, with access to data comes the enigma of privacy.
ISO/IEC 25010 determines which quality characteristics will be taken into account when evaluating the properties of a software product. This model will be applied in the fiQare project.
Platforms such as FIWOO (or any other FIWARE based platform) will improve their quality and security. fiQare will enable faster and greater development of these technologies by increasing confidence in them.
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We provide a methodology based on automatic learning algorithms for GEs analysis.
We report on the status of the quality of GEs in IoT Platforms.
We do enhance FIWARE's management tools (GEs), which are offered to the community.
FIWARE-based Platforms (such as FIWOO) will experience a substantial improvement in safety and quality.
Development of two use cases:
First Use Case: Smart Cities Analysis by Sensing Urban Heartbeat (SUH): Install and use sensors in the campus of the University of Málaga, to take open data, analyse them, and give models of mobility and noise. Users will be several research groups at University of Málaga, the rectorate itself (for management), and the students (40.000 potential beneficiaries of this work).
Second Use Case: Internet of health things for smart home assisted living: This use case involves the construction of a IoT Early Warning System (EWS) for the detection of residential emergencies, targeting different services with the adequate message content (e.g. for nurses, doctors, individual's family and hospitals).