Now that it is October, many teams are transitioning into 2020 planning mode. Whether you’re looking at scaling your open-source test automation, accelerating your testing to support DevOps and digital transformation initiatives, or extending from test automation into RPA, Gartner research is a great resource.
Gartner’s software testing research reports are among the most downloaded items in our software testing resource center, year after year. This is hardly surprising, given Gartner’s track record of identifying enterprise clients’ top challenges, and then delivering insightful research for understanding the available options and selecting the best path forward.
Here are 4 new Gartner research reports that are really resonating with our readers right now.
Four Steps to Adopt Open-Source Software as Part of Your Test Automation Strategy
Gartner predicts that by 2022, 90% of enterprises will be using open source test automation tools for agile and DevOps—but 50% of organizations will struggle with the skills and culture required to succeed with them. Although open source testing tools are “free”, failure to anchor them within a strategic and systematic quality approach could be costly. As Gartner wrote: “Ad hoc adoption without adequate planning may lead to a lack of success, higher maintenance costs and a fragmented toolset.”
Whether you’re just starting to evaluate open source tools for test automation or you’re actively researching strategies for scaling successful open source test automation, Gartner’s new report Four Steps to Adopt Open-Source Software as Part of Your Test Automation Stack is a “must read.” You will learn how to :
- Take a strategic and systematic approach to adopting, deploying, and managing open-source testing tools
- Build the technical skills required for success with open source tools, which are created by developers, for developers
- Establish the continuous learning mindset essential for keeping up with the rapid pace of change in open source testing tools.
- Select the open source tools that are the best fit for your resources and objectives
It’s the End of QA as We Know It (And We Feel Fine)
DevOps…Continuous Delivery… APIs and microservices… shift left…shift right…BDD…TDD… …SDETs…open source…tribes…squads…cloud
The application development and delivery landscape has changed dramatically in just the past 5 years. We can’t possibly expect QA as we know it to remain the same in the face of these seismic shifts.
As Gartner puts it, “Digital business is driving a faster pace of delivery to support the continuous delivery of incremental changes. Traditional testing teams cannot meet this pace nor the expanded view of quality required.”
But what is the ultimate goal of QA in the new era of DevOps and cloud speed – and what’s needed to achieve it? Those are the burning questions that the resources in this package aim to address.
Download It’s the End of QA as we Know It (And We Feel Fine) for the Gartner reprint “DevOps and Cloud Speed Are Driving the End of QA as We Know It” as well as the Tricentis report “Reinventing Software Testing for DevOps and Modern Application Delivery.” You will learn about:
- The underlying forces driving current and future QA trends
- Different options for aligning QA with cloud and DevOps speed—even if you’re not a “unicorn”
- What’s really required to ensure that accelerated release cadences don’t put the business at risk
Robotic Process Automation vs. Software Test Automation
While software testing all-too-often remains the overlooked “second-class citizen” of the Application Development world, RPA has truly captured the attention (and dollars) of IT leaders—to the point where it has become the fastest-growing market in enterprise software. At its core, RPA is ultimately the same as software test automation (STA): both automatically exercise applications through the UI or API to make repetitive work faster, less burdensome, and more accurate.
In many respects, RPA is actually simpler than software test automation —so it’s not surprising to see many software test automation vendors testing the waters with “RPA-light” offerings. From the opposite direction, RPA vendors are starting to suggest that RPA tools are also fit for software test automation. Is a convergence inevitable? And how would it impact the future of RPA and software test automation?
Download Robotic Process Automation (RPA) vs Software Test Automation to learn:
- In what ways RPA and software test automation are converging
- The core differences between the RPA and software test automation
- The top risks, opportunities, and challenges emerging from this convergence of RPA and software test automation
Transforming Software Testing for Digital Transformation: IT Leaders Can’t Afford to Wait
Ensuring that your company is disrupting, not disrupted requires faster delivery of innovative software and greater agility—the ability to pivot as soon as a new opportunity or challenge emerges. From a quality perspective, this requires a strategic commitment to continuous quality.
According to Gartner: “Continuous quality is about fostering a quality culture and ensuring that teams are creating a superior user experience, building features that fit the market’s timing, and enabling the characteristics of an application that deliver value faster than they create technical debt…Continuous innovation is a differentiating characteristic of the leaders in digital business, yet most organizations take too long to change, test and release enterprise business applications for business use.”*
Transforming Software Testing for Digital Transformation provides two perspectives on why we’ve suddenly reached a tipping point that makes continuous quality essential for digital transformation:
- A new Gartner report on why “application leaders guiding a digital transformation initiative must make continuous quality the technical, organizational and cultural foundation of their strategy.”
- An interview with Clark Golestani, sharing his experiences at Merck and providing a CIO’s perspective on why “any IT leader concerned about innovation speed and digital transformation success should make software testing a top concern.”