Topic: test

The Future of Testing is AI: Visual AI

Applications and the environments they live in continue to become more complex. While shift-left testing helps improve app quality, alone it’s not enough to ensure quality as new frameworks and tools emerge. With Applitools AI-powered visual testing and monitoring platform, leading companies are improving app quality, accelerating delivery cycles and reducing the time it takes … continue reading

Automate Mobile Testing with Kobiton

Organizations are automating more types of tests to keep pace with DevOps and CI/CD, but they all face a common challenge which is automating mobile testing. “Getting to automation is a big challenge with mobile,” said Frank Moyer, CTO at Kobiton. “It’s painful, because unlike the web world where there’s a W3C specification for HTML, … continue reading

Software Testing Showcase

Applitools is on a mission to help test automation, DevOps, and software engineering teams release mobile and web apps that are visually perfect. The company provides the only commercial-grade, visual AI-based test cloud that instantly validates any application’s user interface in a fully automated manner, across all customer engagement points and digital platforms – using … continue reading

Fix Penetration Testing Finds Faster

If you want to know whether your code is truly secure, it needs to be penetration (pen) tested. White hat pentesters can identify application vulnerabilities before bad actors exploit them, leaving you to remediate bugs proactively. Traditionally, developers and pentesters have both suffered from a lack of direct communication because, among things, pentesting is too … continue reading

Optimizely Announces Enhanced Experimentation Platform at Opticon20

Optimizely, the world’s leader in progressive delivery and experimentation, today at Opticon20 announced several new products and partnerships, including integrations with enterprise platforms that make it easier for customers to leverage progressive delivery and experimentation to drive more agile, competitive business decisions. “Businesses cannot survive in today’s environment by guessing,” said Claire Vo, Chief Product Officer, … continue reading

Engineering practices that advance testing

Testing practices are shifting left and right, shaping the way software engineering is done. In addition to the many types of tests described in this Deeper Look, test-driven development (TDD), progressive engineering and chaos engineering are also considered testing today. TDD TDD has become popular with Agile and DevOps teams because it saves time. Tests … continue reading

SD Times news digest: The GitHub Container Registry, AWS Bottlerocket, and Postman’s web client for API development

GitHub has introduced a new container registry to improve how it handles containers within packages. The registry is available as a public beta, and will enable users to enforce better access policies, encourage the usage of standard base images, and promote innersourcing.  “While GitHub Packages already gives teams greater traceability of their software supply chain, … continue reading

There’s more to testing than simply testing

Rapid innovation and the digitalization of everything is increasing application complexity and the complexity of environments in which applications run. While there’s an increasing emphasis on continuous testing as more DevOps teams embrace CI/CD, some organizations are still disproportionately focused on functional testing. “Just because it works doesn’t mean it’s a good experience,” said Thomas … continue reading

Guest View: The de-evolution of software testing

Software testing is nearing the end of its Cretaceous period.  Personally, I invite the proverbial asteroid to advance its destructive approach so the practice of software testing can continue down its much-needed evolutionary journey. Don’t get me wrong, software testing has not been totally stagnant; it did evolve during its Cretaceous period.  The most significant … continue reading

Autonomous testing: Are we there yet?

A couple of years ago, there was a lot of hype about using AI and machine learning (ML) in testing, but not a lot to show for it. Today, there are many options that deliver important benefits, not the least of which are reducing the time and costs associated with testing. However, a hands-on evaluation … continue reading

AI and ML make testing smarter… but autonomous tools are a long way from being enterprise-ready

AI and machine learning (ML) are finding their way into more applications and use cases. The software testing vendors are increasingly offering “autonomous” capabilities to help customers become yet more efficient. Those capabilities are especially important for Agile and DevOps teams that need to deliver quality at speed. However, autonomous testing capabilities are relatively new, … continue reading

DevOps Report: Testing is Everything

DevOps teams often struggle to meet speed and quality goals simultaneously. Intelligent test automation company mabl just released its 2020 State of DevOps Report based on a survey of 1,000 software professionals, including testers and QA professionals (59%) as well as developers and engineers (34%). The key takeaway is that manual testing doesn’t cut it. … continue reading

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