Data-driven quality evaluation
Based on ISO 25010:2023, we apply a hierarchical quality evaluation methodology that relies on software metrics calculated against source code properties. Complexity, coupling, cohesion, level of proper documentation, are only some of the properties we calculate at function, class and package level.
Analyzing a massive, ever-changing benchmark dataset by employing AI-driven and ML-based techniques, we are able to identify the proper ranges for properties the suitable formulas to evaluate maintainability, security and their sub-characteristics.
Analyzing a massive, ever-changing benchmark dataset by employing AI-driven and ML-based techniques, we are able to identify the proper ranges for properties the suitable formulas to evaluate maintainability, security and their sub-characteristics.
Instant insights for better code
Cyclopt Reporter performs automated source code analysis whenever you commit, providing you an update status of your codebase, along with alerts and tips on significant issues rising related to:
✅Coding Violations
✅Vulnerabilities - Bad Practices
✅Code Duplication
On top, Cyclopt Reporter periodically performs an in-depth quality assessment of your project on Maintainability and Security, to ensure that your project does not drift.
Set up Reporter in your preferred communication channel (Discord, Slack, Mattermost, Teams, Google Chat) and get actionable recommendations for resolving occurring issues on the spot!
Let everybody know you are a star
Cyclopt Profile performs a deep analysis on your developer characteristics.
Build and communicate your own developer profile page that identifies your unique skills when developing software.
Show progress, highlight your strong points as a core team member and use the Cyclopt Profile page as a bargaining chip when planning your next job or promotion.