Posts by author: Adam Tornhill

Announcement: Code Health Metrics for the BrightScript Language

Roku's BrightScript  language is a popular choice for building media applications on embedded devices. BrightScript is a dynamic and interpreted language with some fun features like first-class functions. Roku, the platform, is one of the most popular OTT streaming devices with its 3500+ channels reaching 80 million people in the U.S. alone.

Despite its wide spread use, BrightScript hasn't received the tooling or code analysis support it needs.

Sure, Roku offers a static analyzer which can catch some common errors, but there aren't any tools which can help BrightScript developers write healthier and more maintainable code. Until now.

At CodeScene we are proud to announce that we have added full support for analyzing and visualizing BrightScript codebases. Let's have a look at how some of the key features.

Visualize team-code alignment: reverse engineer your organization from version-control

Getting the organizational side of software right is just as important as any properties of the code. 

Code quality: measuring the business impact of unhealthy code

Everyone in the software industry "knows" that code quality is important, yet we never had any data to prove it. Consequently, the importance of a healthy codebase is largely undervalued at the business level.

We set out to remove the quotation marks so that "knows" becomes knows. We recently published new research that for the first time quantifies the business benefit of high-quality code. Here are the key takeaways:

Announcing Code Health support for the Rust Programming Language

The Rust programming language has grown in popularity since its initial release back in 2010. Rust keeps showing up as the most loved programming language in StackOverflow’s annual survey, it has a rich ecosystem and active support by several large companies. It’s here to stay.

How CodeScene Differs From Traditional Code Analysis Tools

The main difference between CodeScene’s behavioral code analysis and traditional code scanning techniques is that static analysis works on a snapshot of the codebase while CodeScene considers the temporal dimension and evolution of the whole system.

Meet the three Code Health KPIs: a unique profile of each codebase

Since starting CodeScene back in 2015, I have probably analyzed around 300 codebases. 

Visualize Microservice Dependencies in a Team Context

Tightly coupled microservices are a cardinal sin.

Manage technical debt: measure the impact and prioritize improvements guided by development data

Sustainable software development is about balancing short- and long-term goals. 

Predicting Security Vulnerabilities with Behavioral Code Analysis

Security vulnerabilities correlate with low code health, development hotspots, and a high author churn in the organization. 

CodeScene plug-ins for SonarQube and Code Coverage Metrics

Our new CodeScene release lets you integrate third party information in the CodeScene analysis views. 

Evaluate Code Quality at Scale

Code quality issues can cost time, money, and frustration. 

Visualize the Impact of (automated) Code Reviews

CodeScene integrates with pull requests to provide feedback and detect code quality issues via an automated code review.