Systems | Development | Analytics | API | Testing

We’re pleased to announce that Perforce ALM (formerly Helix ALM) has achieved ISO 26262 Functional Safety Process Certification by internationally accredited certification body TÜV SÜD. This certification covers all areas of our ALM solution, including requirements management, test management, issue management, and reporting.

At Perforce, we believe every company deserves access to a competitive edge—or as we call it, the DevOps Edge. This edge empowers teams to deliver extraordinary results. That belief and commitment to our customers drove our brand refresh: a bold step forward that reflects our shared commitment to solving the hardest challenges in DevOps.

A comprehensive test data strategy should seek to improve the following areas: In this blog, we’ll dive into each of these areas, plus explore the solutions modern companies are using to tackle test data management at scale.

Measuring DevOps success? You need to use DORA metrics from the DevOps Research and Assessment (DORA) framework. These metrics help software teams get better over time. Think of DORA metrics like the stats used in Formula One racing. In Formula One, teams collect and analyze thousands of metrics before and during each race to optimize car setups, detect potential failures early, and refine strategies for peak performance.

Development velocity is more important than ever in 2025. The pace of development directly influences your organization’s ability to innovate and compete. And slow development cycles can leave your business trailing behind the competition.

Electric vehicles are quickly becoming the vehicle of choice for many consumers. Globally, one in four new cars sold are now electric, which includes full battery-electric vehicles and plug-in hybrids, according to Our World in Data. This was a monumental leap since 2022, jumping from 26 million electric cars in use to over 40 million today. Gartner predicts that by the end of 2025, the number of electric vehicles in use will be up to 85 million.

Advances in medical robotics and healthcare technology — enabled by the Internet of Medical Things (IoMT), Machine Learning (ML), and Artificial Intelligence (AI) — mean that we are already seeing less invasive procedures, more accurate diagnoses, and more personalized treatment options for patients. But these innovations depend on software which brings increased safety and security risks.

Discover how to efficiently mask SQL data at scale. Explore the best practices based on our extensive experience with large enterprises. Almost every enterprise has SQL databases, which means they need SQL data masking. Some SQL databases have built-in masking options, such as Microsoft SQL Server dynamic data masking. But is that the right approach? And what about all of your other databases and data sources?

If you are trying to find answers about Agile requirements gathering, this page may be one attempt of many. The truth is: doing requirements gathering the Agile way is not always straightforward. Why isn’t it simple? Mainly because: So where does that leave us? You’re probably not in a pure Agile environment, so you know the deal. The key is to get ideas for how to make this work, and apply what fits for your team.

DevSecOps automation is key for safety-critical software development. Here we explain what is DevSecOps automation and why it is important for safety-critical software. Read along or jump ahead to the section that interests you the most.