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In the era of the Internet of Things (IoT), every object can be made smart with embedded sensors, and connected to the internet through wireless technologies. The term "smart" was introduced first for the mobile phone, and the term smartphone was used for the first time in 1999. After 2012, smart watches and other wearable devices became popular. The massive data collected with smart phones and wearable devices offer unprecedented opportunities for human behavior modeling, real-time health monitoring, and personalised services. When people think of IoT, phones, watches, and other small devices often spring to mind. However, automobile manufacturers are now embedding into their vehicles Wi-Fi, global positioning system (GPS) and a bunch of sensors that collect data about the vehicle and the driving behavior. Soon, every car will be connected to its manufacturer, to service companies, to insurance carriers, to its drivers, and to the world around it. Gartner predicts that there will be a quarter of a billion connected vehicles by 2020 [1]. Most cars now have over 400 sensors built into them, capturing data every few milliseconds about steering wheel movement, tire pressure, driver actions, speed, GPS position, car wear and tear, and more. Autonomous cars generate dozens of operational data

Testing conceptually consists of three activities: test case generation, test case execution and verdict assignment. Using online testing, test cases are generated and simultaneously executed. This paper presents a framework that automatically generates and executes tests "online" for conformance testing of the Web service composition described in BPEL. The proposed framework considers unit testing and it is based on a timed modeling of BPEL specification, a distributed testing architecture and an online testing algorithm that generates, executes and assigns verdicts to every generated state in the test case.

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