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Identifying Reliable, Objective Software Development Metrics

Tracking developer performance and optimising workflows on development teams is no new challenge.

Code Security False Positives: What Matters?

Too many code security alerts? See how to measure false positives, detection accuracy and risk, and evaluate whether your scanners are effective.

AI Coding Performance Depends on Your Tech Stack

AI coding performance varies significantly across programming languages, with success rates differing by more than 8×. See where AI coding tools work best, and where they struggle in real systems.

AI Coding Benchmarks Are Measuring the Wrong Things

Benchmarks like HumanEval and MBPP suggest LLMs succeed on 80–90% of tasks. But when tested on real production codebases, success rates fall dramatically. New research explains why.

A Guide to Capitalizing Internally Developed Software

Capitalizing software is getting harder. Explore the global rules, avoid audit risk, and improve EBITDA with smarter, automated capitalization.

DORA Demystified – How Maintainability Forecasts Change Failure Rates

BlueOptima's new research reveals maintainability as the key to forecasting change failure rates, transforming your approach to software stability.

BlueOptima Has Entered Into An Agreement To Acquire The Devops Solutions Business From Cirata

BlueOptima has signed an agreement to acquire Cirata's DevOps solutions business, expanding its portfolio to enhance software engineering performance.

7 Code Review Best Practices in 2024: Elevate Software Quality

DORA Metrics and SPACE Metrics: A Comparative Overview for Software Development Leaders

Global Software Development Productivity Declines 4% in Q3 2021

Eastern European Developers Produce The Most Maintainable Code

Why CFOs Could Reject the Business Case for AI in Software Development

Will your business case for AI deployments stand up when stakeholders and Finance ask where the claimed value actually came from? If not, here's how to respond.