This post was written by Rob Zuber, CTO of CircleCI I’ve been leading software teams for more than 20 years and one thing I’ve learned about metrics is that leaders tend to put too much emphasis on ...

Organizations increasingly rely on data to make sense of complex problems. Teams like sales and marketing rely heavily on data to set goals, track progress, and make informed decisions. Engineering ...

The purpose of tracking and monitoring software engineering metrics is to assess the current product or process performance, enhance it, and anticipate the quality after the software development ...

In the rapidly evolving software development landscape, organizations constantly seek innovative approaches to enhance productivity, improve quality, and accelerate time to market. Saumen Biswas, ...

In today’s engineering ecosystems, data is everywhere - CI/CD pipelines, observability stacks, sprint boards, Git histories, user feedback loops. But more data doesn’t guarantee better outcomes. For ...

The reason? They simply don’t realize how important measurement is. What a team accomplishes in its day-to-day tasks has a direct impact on the success of the product. To overcome this dilemma, I ...

Management is obsessed with measuring everything, and this obsession is sabotaging the quality solutions that software engineering teams can craft. The business leaders who hire engineering firms such ...

Experts from Arm, Intel, Nvidia and AMD look at what’s missing from verification data and how to improve it. As design complexity has exploded, the verification effort has likewise grown exponentially ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

In today’s fast-paced tech environment, the role of a product engineering leader goes beyond managing teams and overseeing development—it's about shaping products that deliver real value to users and ...