Research backed insights

Refactoring vs Refuctoring: advancing the state of AI automated code improvements

How do we successfully refactor code using AI?

The remarkable advances in AI promised a coding revolution, spawning tools to help us write code faster. Yet the true gains elude us. The crux? The majority of a developer’s time isn't writing but understanding and maintaining existing code. 

This whitepaper explores this new frontier by investigating AI support for improving existing code.

4 key factors for building great software

Successful software development requires connecting code, people and processes in your organization.

Our new dashboard brings you real-time software engineering intelligence with just four factors. They are so easy to understand, it feels obvious.

Code Red: The business impact of low code quality

How can you measure the business cost of low code quality?

Together with academic partners, CodeScene has published a large-scale study elevating code quality to the business level by putting numbers on the impact of unhealthy code. Read the whitepaper to see the cost of low code quality and full results of the study.

Business cost of technical debt

How can you increase feature delivery efficiency?

This paper presents an approach to calculating, visualizing, and communicating the costs of technical debt. As shown in this paper, a typical development organization can increase their feature delivery efficiency by at least 25% by managing technical debt.

CodeScene Usecases and Roles

How can CodeScene help you in your role?

This whitepaper discusses behavioral code analysis and is intended for software architects, technical leaders, development teams, testers, and managers. It provides a detailed view of insights made available to each person within your organization.