There’s a reason why so many teams choose to follow agile engineering best practices. This streamlined process for software design and development delivers value in a variety of ways, including:
Thanks to artificial intelligence, impossible ideas of the past have become the reality of today. With AI, we have discovered more about the greatness of outer space as well as the micro-complexity of diseases and the possibilities for more value remain endless. In everyday life, we interact with AI when talking to our smartphones, shopping online and streaming our favorite TV shows and songs.
So, it should be no surprise that software QA is quickly shifting towards integrating AI in QA testing. In fact, the AI industry is rapidly growing year after year and predicted to be one of the biggest software testing trends of this year.
Every software development conversation you begin should end with a word on QA testing. The two have become inseparable within the modern SDLC. They are the twin forces that give the Agile approach to software development the strength to dominate product delivery in the digital age.
Development innovation is strengthened by continual testing. QA becomes more effective when deployed earlier and more often.
We are all in this together. That is the accepted philosophy that underpins the continued growth of the software development industry’s twin 21st-century efficiencies - Agile and DevOps.
What is less recognized is the role QA plays in enhancing the flow of innovation and production within the two models. Quality assurance testing is the common link that ensures continuity of purpose through the entire product journey from inspiration to end-user experience.
The Agile testing environment creates strength in numbers. It aligns the talents and vision of your entire team to ensure the promise of your product becomes a market reality.
Every stakeholder in your software development life cycle is involved from beginning to end. You can maintain an end-user focus through the development and analysis of daily builds using a cyclical, continuous integration model.
Teams exist in every organization. They discuss tasks that need to be completed, who will be given ownership of each task, and then they are off and running. Cross-team collaboration brings members with different areas of expertise, knowledge and experience together, which can improve quality, speed and the company's overall productivity. Cross-team collaboration is a much-needed skill that is, unfortunately, difficult to acquire. So, how can companies build effective cross-functional teams?
As separate development and QA teams merge together to form larger DevOps teams, the Agile process is getting more play than ever. Working in an agile way encourages teams to iterate in parallel-to test code as it’s written, so as to uncover any major problems earlier on in the software development lifecycle. The Agile process was an answer to the slow, outdated Waterfall method, in which products were developed in fits and starts, with various delays and blockages slowing the entire process down.
Software development has been in existence for quite a long time now. However, the need for strong QA to complement the advancements of development has risen. With the increasing demand for high-quality products, it has become imperative for software companies to have strong QA in order to achieve development excellence.
Agile teams produce better products because they see the bigger picture. Involving those with a business perspective along with your technical team during the software testing process helps maintain focus on where all the hard work is headed.
Adding an expert QA team to that mix only improves matters. Now, you have a diverse range of skill sets, experience, and perspective to round out your product offering.