Digital Transformation, DevOps, and the Future of Testing
Transforming Testing for DevOps
Welcome
Just as smartphones have revolutionized the way we communicate, digital transformation initiatives like Agile and DevOps have forever changed the way that software is developed and delivered. Development teams have already made previously-unimaginable leaps forward—yet we are still in our infancy when it comes to achieving the expected speed and process automation.
Despite all the changes we'll undoubtedly experience in the very near future (driven by AI, robotics, big data, and predictive analytics…), testing remains largely stuck in the past. Manual testing as we know it today—methodically stepping through a specification-based test plan and checking core values at each step—simply cannot survive the force of the digital tsunami that's fast approaching. It's too slow, and it consumes too many resources that could otherwise be enabling innovation. Legacy software testing practices and platforms are also due to go extinct.
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Wolfgang Platz,
Founder & Chief Strategy Officer, Tricentis
Tricentis Content
The Broken Promise of Test Automation
For over two decades now, software testing tool vendors have been tempting enterprises with the promise of test automation. However, the fact of the matter is that most companies have never been able to achieve the desired business results from their automation initiatives. Recent studies report that test automation rates average around 20% overall, and from 26-30% for agile adopters.
We believe that several factors contribute to these dismal automation results…
Legacy software testing platforms were designed for a different age
The most commonly-used software testing tools today are predicated on old technology, but enterprise architectures have continued to evolve over the years. Development no longer focuses on building client/server desktop applications on quarterly release cycles – with the luxury of month-long testing windows before each release.
Almost everything has changed since test automation tools like those by Mercury, HP, Micro Focus, Segue, Borland, and IBM were developed. Retrofitting new functionality into fundamentally old platforms is not the same as engineering a solution that addresses these needs natively. [...]
IT Market Clock for Application Development, 2017
4 October 2017
The need to deliver value continuously has led application organizations to take agile and DevOps to enterprise scale. Application leaders must select the right combination of tools, technologies and practices to enable the ongoing digital business transformation of their organizations.
Key Findings
- Tools and practices commonly associated with Mode 2, such as agile and DevOps, are evolving to enterprise scale as organizations mature their bimodal capabilities.
- As cloud-based services make advanced technologies such as machine learning more accessible, application architectures and tools that leverage such services take prominence while service-oriented approaches fade.
- Because application development technology assets are interdependent with other assets, organizational collaboration is needed to change them effectively.