Micro Focus on the growth of intelligent testing

The advent of Agile methodology, DevOps, and emerging technologies like artificial intelligence, robotic process automation and machine learning creates a seismic shift in application testing requirements and test tools. As companies gravitate towards digital transformation strategies, there are more applications and new technologies that require testing at increasingly rapid rates. Key challenges include the elimination … continue reading

SEI CERT releases open-source Source Code Analysis Laboratory for pinpointing vulnerabilities

The Software Engineering Institute’s (SEI) CERT Division at Carnegie Mellon University released an open-source static analysis aggregator/correlator this week. Source Code Analysis application (SCALe) is designed to find vulnerabilities in application source code via multiple, independent static analysis tools. Compatible with any source code language, this public release of SCALe provides alerts based on two … continue reading

Investing in QA is like buying insurance: Know your risk

Chief information officers have a number of critical mandates these days, from managing diverse IT infrastructure to helping business units develop revenue-driving services and ensuring great uptime and experiences for users. The thread stitching together all of these goals is software quality. Yet CIOs aren’t always on the same page as the quality assurance team. … continue reading

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Tricentis merges with software testing company QASymphony

Tricentis has announced a new merger with QASymphony to drive continuous testing to enterprise DevOps. QASymphony is known for its test management tools while Tricentis focuses on test tools for continuous testing. Together, the companies hope to provide a modern platform for today’s digital transformation. The news followings Tricentis’ recent acquisition of the Q-up test … continue reading

Unlock the full potential of a QA organization by tracking these KPIs

Test managers are under pressure to test faster and deliver software with fewer defects. Improving these two factors — velocity and defect detection effectiveness — requires a balanced mix of people, processes and tools. Orchestrated properly, anyone can increase a team’s testing delivery speed and trap more defects before the final software release. A multitude of supporting … continue reading

Mabl emerges from stealth with AI-powered testing solution

An AI-powered QA testing solution provider has emerged from stealth after one year in development. Mabl is a machine learning test automation service that learns how applications work, identify bugs, and provides context on what causes errors so they can be fixed. The solution is designed to enable users to easily create automated tests using … continue reading

Guest View: Use this approach to catch the most bugs

You are trying to break the software, testing each and every corner case to find bugs to add to your bucket. Once development is complete and your build is deployed, you start testing to find potential issues. After you find bugs you try to add enough information on the defect report to show that the … continue reading

Rainforest QA raises $25 million in funding

Rainforest QA today announced it has raised $25 million in a second round of capitalization that it plans to invest in product development and growth. The funding brings the total the company has raised to $41.2 million. Rainforest QA has a platform for crowdsourcing QA, and founder and CEO Fred Stevens-Smith told SD Times that … continue reading

For high-performing engineering teams, disagreement is healthy

You’ve probably heard the conventional wisdom that teams should be aligned around a common goal. But while it’s important to have a shared business objective, the idea that everyone needs to have the same goal is selling your engineering team short. Productive tension is beneficial for organizations. In my engineering group, I have at least … continue reading

Driving decisions through your development lifecycle with data

Stack Overflow co-founder Jeff Atwood has noted that he’s “a big fan of developers handling tech support calls for their software, at least a part of the time. It really motivates them to address the pain points users are experiencing, because they become shared pain points.” There is tremendous value in hearing firsthand how your … continue reading

Sauce Labs expands data analytics for the enterprise with Sauce Labs Test Analytics

Automated testing enables software testing teams to test faster, but these tests are not always perfect. The challenge for companies then is, how do you quickly analyze those failed tests and eliminate any bottlenecks in testing? Sauce Labs is addressing this problem with its newly released Sauce Labs Test Analytics, a new solution that expands … continue reading

Industry Spotlight: Three disruptions to ALM — and how machine learning could help

Application delivery teams and the application lifecycle management tools they use are reaching a breaking point as they struggle to support continuous delivery of applications with an expanding array of architectures and form factors. According to Ashish Kuthiala, Austin-based senior director for Agile and DevOps portfolio offerings at Hewlett Packard Enterprise Software, three key disruptions … continue reading

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