Key Metrics Identification of Distinct Process Models to Develop an Iot Based Systems

Abstract

The globe is encompassing gravitate automation. Many organizations turning the theoretical aspects into practical implementation by converging technologies. Embedded systems considered the core of sensor-based technology. Bundle of built-in configuration required to interact devices. Productivity software confederate to communicate with the integrated systems over the web. Process models furnished strategies to implement systems. Process models like a classical waterfall, Spiral, XP, Agile, RUP, Prototype, and Scrum which provides the blueprint for developers. The paper investigating the variations among process models and integrated system development. Discrete factors have to be considered an excerpt of the process model to an integrated system. Process models can be suitable to implement small scale and medium scale systems but implementing sophisticated systems deals with various critical factors. The non-functional attributes of development tools and deployment environments are the key components in system development. Since the cloud is the component of IoT and cloud providing solutions as per pay and use policy. Identifying process model for IoT systems depends on application nature, development and deployment environments. IoT systems require real-time operating systems or devices to interpret code in it. The probable scrutiny is given information about the agile methodology. The research involving with identification of key metrics of various process models to develop IoT based systems. The paper presuming the external factors not involving with the process mode. Identified key factors from agile model to develop medium level integrated systems.