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.

Follow our built-in agile approach to monitor the progress of your software development process. Visualize your software product line using our Kanban boards (or even simple/easier project management approaches) and get analytics that enable you to make the right decision in time, while identifying risks as early as possible.

Use our workload analytics to keep track of the lifecycle and the lead time of your project. Organize the project workload and identify bottlenecks more efficiently than ever.

Easily manage work across projects and teams. Get productivity analytics and performance alerts for your team, working on the various stages of software development pipeline.

Have a single point of reference for getting a full overview of the workload delegation of all your team members. Quantifiable analytics and drill-down knowledge on who works on what enables you to get the best of everyone in the team, handle possible delays, optimally assign tasks, and boost collaboration in an efficient and transparent manner.

Digestible EngOps information that enhances the decision-making process in terms of project planning and team readiness.