QA and Software Testing is a major part of the software development process. It is one of the crucial steps in software development and is unavoidable. It helps to detect bugs, useability, reliability, and robustness of the software. To kick start the journey of the QA and Testing we consider two straightforward approaches. 

Automation and Regression Testing: 

There are the testing method which helps to reduce the repetitive manual checking of the whole system. We automate the test cases by writing various test cases. This can be done by Unit testing, Integration testing and End-to-end testing. This automation could save 100s of hours. 

Suppose you work for a bank offering an online banking service. The current feature sets include user authentication, fund transfers, bill payments and accounts statements. Now the development team introduces a new feature that will allow the user to set up automatic recurring monthly bill payments. Now to test the new recurring monthly billing feature, we need to test its features and along with this we need to test the system as a whole to ensure that the existing feature is not affected by the recent change. There will be many permutations of the testing required to certify the system is fully bug-free and secured. If we start the manual testing approach it will be Time consuming, error prone and resource intensive. In this type of scenario, the Automation and Regression Testing will be handy.

Automated New feature test:

We develop an automated test case specifically for the new feature which is the recurring payments feature. These tests should cover different scenarios such as setting up the recurring payment, modification, cancelling etc. This could be run 100 times before going into production to gain confidence. 

Automated Regression Tests: 

As we need to test the whole system to verify existing feature is unaffected while implementing recurring payments we create a suite of automated regression tests which cover critical functionalities like user authentication, fund transfers, bill payments and account statements. We should run these automated tests before each deployment under different permutations to ensure the existing functionality still work as expected. 

Benefits of Automation:

• Time-Efficiency: Automated tests can be executed quickly, allowing for faster feedback on the overall system's health.
• Accuracy: Automation reduces the chance of human errors associated with repetitive manual testing.
• Reusability: Automated tests can be reused for future releases, saving time in the long run.
• Consistency: Automated tests provide consistent and repeatable results, enhancing the reliability of the testing process.

QA using Human Intelligence: 

Although AI and automation are reaching new heights day by day aligning the automation testing in parallel to human intelligence is a very complex task. Things like human behaviour, Human preference, and colour behaviour of humans are very complex to replicate to test some useability of the System.

Suppose a Data analytics and visualization mobile app displays a line chart representing the historical stock prices of a company. The user should be able to identify trends, peaks, and valleys in the chart to make informed decisions about buying or selling stocks.

Human Intelligence Emulation:

• Pattern Recognition: A human tester would not only focus on the correctness of the data but also on the user's ability to recognize patterns in the line chart. For instance, the tester might look for patterns like upward or downward trends, seasonal variations, or sudden spikes.
• Color Perception: Humans have a diverse range of color perceptions, and certain color combinations might be more accessible or aesthetically pleasing to some users. Testing should ensure that color choices in the chart are clear and distinguishable to accommodate users with various color perceptions.
• Interaction with Annotations: In a line chart, users might rely on annotations or additional information to understand specific points on the graph. The testing process should involve interactions with these annotations to ensure they are informative and enhance the user's understanding.
• Zoom and Pan Features: Human testers would explore the zoom and pan features to check if users can interact with the line chart at different levels of granularity. This involves checking the responsiveness of the app to gestures and ensuring a smooth transition between different zoom levels.
• Performance of Animations: The tester would assess how smoothly animations are rendered when transitioning between different time periods or when new data points are added. This involves evaluating not just the correctness of the animation but also its impact on the user experience.

Benefits of Human Intelligence:

• Check Everything About User Experience: Human testers look at the app from different angles like patterns, colors, and user interactions. They make sure the app feels good and works well in all aspects.
• Understand User Views Better: Testers use their judgment to understand whether the data is correct and if the app makes sense to users. This helps catch issues that automated tests might miss.
• Work Well for Everyone: Testers make sure the app looks good and is easy to use for everyone. They pay attention to colors to ensure everyone, including those with visual needs, can easily use the app with different.
• Test Like Real Users: Testers act like real users, checking if features like zooming or moving around the app work smoothly. This helps find problems that might affect how people use the app for things like stock trading.

In summary, Automation helps us quickly check if everything is working as expected, like a speedy robot. On the other hand, Human Intelligence adds the touch of understanding how real people will use the software and make sure it's easy and enjoyable for everyone.

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