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QASourceAs this is the first edition of the QASource Autocast in 2018, we want to wish all our readers a very HAPPY NEW YEAR.
There has been a rapid shift towards digitization worldwide. In the past year alone, many technology innovations have been used towards providing smarter automated solutions: citizenship to humanoids, back-flipping robots, drones for delivering packages, self-driven taxis, facial recognition in cell phones, robotic cooks, prevalence of cryptocurrencies, smart contracts, AI-powered QA tools, to name a few. In 2018, QASource foresees more adoption of technologies like AI, IoT, Big Data and Blockchain in our daily lives, which will further change the current landscape of SQA world.
So, here are the details:
Artificial Intelligence (AI)
A brief definition of AI is 'to make the machines/computers learn from their experience'. A few examples from current innovations are Saudi Arabia's first humanoid citizen, Apple's Siri, Facebook's M, Tesla's self-driven cars, etc.
Internet of Things (IoT)
It's a prediction that by year 2020, IoT will connect 50 billion devices. The Internet of Things is the network of physical devices, vehicles, home appliances and other items embedded with electronics, software, sensors, actuators, and network connectivity which enables these objects to connect and exchange data.
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Fields anticipated to gain from IoT
- More Smart homes, which will take care of home lighting, security, temperature, appliances, entertainment, vehicle detection, etc.
- Increased demand of Smart wearable devices and fitness trackers
- IoT also provide major solutions in the field of smart cities like smart parking, traffic congestion control, smart waste management etc.
- IIoT i.e. Industrial IoT is the new buzz in market, which will enhance industry's quality control as per international standards by tracking raw goods, real time data exchange and inventory system of organization
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How will it impact SQA world?
- Performance and security testing will play a major role for IoT testing
- Awareness about testing methods and strategies to validate the performance of connected devices
- Testing methodologies for testing IoT network protocols like bluetooth, Wi-Fi, 4G LTE, sensors & thermostats etc. and to test the connectivity through code
- Knowledge of inter-operating hardware like Arduino Boards, Raspberry Pi etc.
Blockchain
A Blockchain is a continuously growing list of records, called blocks, which are linked and secured using cryptography. It is a kind of distributed ledger to record the transactions of cryptocurrencies like Bitcoin and Ethereum, and to enhance the supply chain management system for a better business growth.
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Fields anticipated to gain from Blockchain
- Till now, Blockchain technology was majorly focusing on financial domain, but as it is a technology to save and transfer data so there are predictions that it will also be used in some other sectors like retail, insurance, food industry, legal domains, polling etc.
- There are predictions of using Blockchain with IoT, as Blockchain stores the data in encrypted format so it will be safe to store your personal information without any worry
- By 2018, secure transmission of business contracts will be accomplished by a software code “Smart Contract” residing in the Blockchain
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How will it impact SQA world?
- API testing, Boundary value analysis and security testing will be required for Blockchain and smart contracts' automation
- Awareness about validating encryption and transmission of smart contracts
- Blockchain may encounter scalability and performance issues in future, as it will be used in different new domains. So, there are chances that experts will have to work on the performance issues of Blockchain
Big Data
Big Data is a term used to describe a collection of data that is huge in size and yet growing exponentially with time, and can be used to make predictions and help in decision making.
Fields anticipated to gain from Big Data
- Cloud based Big Data analytic (BDA) solutions will grow multiple times in upcoming years
- Over the next few years, data scientists will be in high demand to analyze, secure and manage large volume of data by using effective algorithms
- Business Intelligence (BI) systems will provide more structured user experience for Big Data for visualization, reporting and advanced analytics of data
- In future, airline industry will improve on the passenger experience by accessing their data including health issues they suffer from, food they require and seat preferences etc.
How will it impact SQA world?
- Performance testing techniques would be required to test huge data storage, caching and concurrency for structured and unstructured data
- Knowledge of algorithms being used to fetch or process the Big Data would be a good skill for SQA engineers
- Decisions based reports from data mining processes would be required to be created
Have Suggestions?
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