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In the current, highly competitive user-centric business landscape, most of the organizations are focusing on emerging technologies: embedded connectivity, IoT, blockchain, conversational AI, artificial intelligence, machine learning. It’s quite likely that these technologies can contribute towards producing high quality products. It has also been observed that the core value from technologies, businesses, and services is data, integrated data, and operational data.

Why are there so many defects in production even after spending time and cost on testing? How can I always see current proven progress and quality level? How can I speed up testing and release cycles with QA stream operations integrated with development? Which governance framework will make my QA practice more effective? Is it possible to set up a QA stream that works integrated with development?

A blockchain is a continuously growing list of records, called blocks, which are linked and secured using cryptography. Some examples include Bitcoin, Ripple, Ethereum. Each block typically contains a hash pointer as a link to a previous block, a timestamp and transaction data. The technology uses smart contract protocol or rule which is immutable, thus once deployed it stays permanent. Let’s say, an updated version of an existing contract is created to eliminate a production bug, manual transfer of the stored data is required--which is a cumbersome process.