A 2019 Infostretch Report
And it’s putting increasing pressures on Test/QA teams.
New digital technologies are enabling enterprises to re-think business processes, modernize the way they engage with customers, increase operational efficiency, and create new products and services.
The opportunities are endless, but success in digital requires new ways of thinking, and equally important, new ways of executing in the software development lifecycle. This is especially true in software testing and QA, where delivery teams need to move faster and more flexibly – without sacrificing quality or customer satisfaction. This means integrating development and QA efforts, automating manual processes wherever possible, and being ready to meet the unknown Testing and QA requirements of the latest digital technologies like IoT and AI.
In late 2019, Infostretch surveyed QA/Test professionals and executives in the US and UK to assess the impact that digital engineering is having on their efforts. We wanted to understand the key challenges they face as well as the strategies they are implementing to keep pace in the world of digital.
Digital engineering continues to put increasing pressure on Test/QA teams to adapt to new innovations and use cases while also ensuring high levels of software quality and customer satisfaction.
There are also abundant opportunities for Test/ QA teams to leverage AI to accelerate their test automation efforts, but to date, this has not been embraced by most.
Test/QA teams are not linking their efforts to business outcomes as closely as they could. This is especially true as pressure increases for faster cycle times and more significant business outcomes from digital initiatives.
Continuous Testing is another big area of opportunity for Test/QA teams to align their testing strategies with the faster pace of digital engineering. It offers a way to make testing processes smarter by delivering more timely user feedback throughout the development lifecycle.
As IoT and AI initiatives continue to gain traction in the enterprise, many Test/QA organizations are struggling to keep up due to a lack of knowledge and expertise.
PRESENTING
Despite the increased time pressures created by digital, software quality and customer satisfaction remain the top priorities for Test/QA teams.
AWS Development & Testing for Cloud-Based Applications READ WHITE PAPER
Key Challenges for QA in Mobile, Web and IoT VIEW SLIDE SHOW
Executive expectations are well aligned with Test/QA team priorities.
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Key Challenges for QA in Mobile, Web and IoT VIEW SLIDE SHOW
Accelerating Your Digital Initiatives with Quality Engineering READ WHITE PAPER
Key Challenges for QA in Mobile, Web and IoT VIEW SLIDE SHOW
How Software Testing Is Evolving by Leveraging AI Go to blog
Intelligent Testing for Digital View fact sheet
IoT Testing Services Go to website
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AWS Development & Testing for Cloud-Based Applications Read white paper
Optimize Cloud Environments to Achieve Agile and DevOps Nirvana Go to website
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Artificial Intelligence Services Go to website
Artificial Intelligence Services Go to website
Get Ready To Accelerate in AI Go to blog
How Software Testing Is Evolving by Leveraging AI Go to blog
Intelligent Testing for Digital Read fact sheet
Top 5 Test Automation Challenges & How to Solve Them Go to webcast
How to Flip Your Test Automation Pyramid for Agile Go to webcast
Using DevOps Pipeline to Generate Continuous Insights Read white paper
The Latest in Digital Transformation Testing Services Go to website
Why Continuous Testing is Vital in Agile & DevOps Environments Read white paper
Continuous Testing Services Go to website
Why Continuous Testing is Vital in Agile & DevOps Environments Read white paper
Continuous Testing Services Go to website
AWS Development & Testing for Cloud-Based Applications Read white paper
Optimize Cloud Environments to Achieve Agile and DevOps Nirvana Go to website
The ability to get innovative new digital services to market more quickly while assuring optimal performance, functionality, and quality is a fundamental requirement for almost every business today at some level.
But this creates real pressures on delivery teams in the way of demand for more features, faster release cycles, tighter budgets, a constant stream of new variations and devices, and the need to incorporate new analytics and intelligence.
This requires delivery organizations to integrate and automate quality into their development processes more deeply than ever. The ability of organizations to make this shift across their delivery organizations will be the difference between success and failure in their digital efforts.