Applause has released The State of Digital Quality Report ... This year's report examined more than 200,000 defects in digital experiences across enterprise software, digital banking, streaming media services, wearable devices, online retail, voice-activated devices and more. Here's what the 2024 report revealed ...

If you listen to thought leaders, QA is in its death throes. It's useless, it's expensive, and besides, we have machines to do that now. In my own experience, I've been working in organizations without dedicated QA teams for several years ... The transformation I'm talking about is where quality assurance has moved from a separate, final stage of development to one at the core of software creation, where every developer is expected to tear down their own code to build a better product. And if you're not on board with this shift yet, I have bad news for you ...

Software solution providers need to be more accurate and dedicated in their quality assurance of products and deliver that quality at speed. An amazing way to improve quality testing is to fail fast. Testing shouldn't ever take place in a silo ...

Sometimes, the most effective method of protection is to put yourself in the attacker's shoes so you can stay one step ahead of their next move. The same is true for penetration testing — If you can't beat 'em, join 'em ...

If the use of AI is consigned to code generation, organizations may miss some of the most transformative opportunities for AI in software development. Let's walk through three ways to use AI in your DevSecOps workflows for faster cycle times and accelerated value stream delivery: predictive analytics, code testing and review, and security vulnerability detection ...

Companies have touted AI's ability to make employees more productive and efficient, personalize services and experiences, and improve quality while decreasing human error. And today, many organizations also realize the competitive advantage of utilizing AI in workflows, especially in web and mobile application performance testing ...

For the last decade, the concept of shifting security left has surged exponentially among practitioners, as the results of this approach are astounding. The ability to deliver secure code faster, reduce vulnerabilities in production, and drive efficiencies across application security and development teams are a clear win for any organization, right? ...

In 1975, computer scientist Fred Brooks observed that during software project management, adding more developers to a project that's already behind schedule just adds to delays. This became known as Brooks' law. However, it's not people power that causes delays — delaying testing increases the chance of bugs and suboptimal code quality. Therefore, one solution must be pushing testing forward. This blog offers advice on implementing a shift left approach, and the benefits of doing so ...

The emergence of artificial intelligence (AI) continues to transform the technological landscape. Its application in several facets of software development continues to grow. One of the areas of software development where the adoption of AI can advance is software testing ...

Service virtualization (SV) is a method that DevOps teams use to simulate components of an app's behavior. Components are APIs, databases, networks, devices, and more ... Using SV saves time, money, headache, and frustration ...

"Shift left" is a worthwhile concept. It has encouraged organizations to think more proactively about software development. But, in practice, it has a few bugs of its own that still have to be worked out ...

Security testing can't survive using manual assessments only. Why? Because it's too slow and unproductive. The introduction and wide adoption of DevOps allows for faster build times by using security tools to conduct assessments. The days of traditional testing are gone, and here's why ...