- Demystify Data with Intuitive Metrics: Use metrics that resonate with and are easily understood by the entire leadership team, ensuring you and your boss will be in agreement over data and analysis. .
- Bridge Developer Experience with Business Productivity: Link the well-being of developers to economic results, highlighting the direct impact of a motivated team on business outcomes.
- Validate and Enhance Management Practices: With objective data at hand, confidently showcase the efficacy of your management practices. This evidence-backed approach enables continuous improvement, leading to sustained success.
In just hours, you will transform the extensive history of your team and projects into immediate, visual insights with comprehensive diagrams.
Project Rework (Information Loss Rate) Over Time
- The diagram presents a project's Rework (Information Loss Rate) over a selected period.
- On the x-axis, the diagram displays the week dates, while on the y-axis, it shows the rework levels in bits of information lost.
- Each colored dot represents an individual developer's rework level, and the dark blue line represents the average rework level for all developers.
Developer Cognitive Load Over Time
- The diagram presents a developer's Cognitive load for a selected period across all projects.
- The x-axis displays the week dates, while the y-axis shows the Codnitive Load values.
- Each week's Codnitive Load level is represented by a blue dot and the blue line represents the average.
- You can compare a developer's Cognitive Load to all developers who contributed during the selected period. Individual loads are marked by light gray dots, and the average is depicted by the black line.
Forecasting Project Completion Time
- The forecast graph depicts the cumulative growth rate of anticipated knowledge discovery via a thick blue line, with the x-axis showing the project timeline and the y-axis indicating the cumulative growth.
- Distinct lines, including green for the most probable completion date, dashed red for the earliest, and dashed blue for the latest, offer a range of possible outcomes.
- Below the graph, a histogram visualizes the probable completion dates and their likelihood, presenting an overview of potential timelines.
KEDEHub is a Software as a Service platform that has three main functions: analyzing Git repositories, calculating KEDE, and presenting results visually. KEDE computation is based on a scientific method for evaluating the capability of software development organizations and constitutes patented technology.
Analysis is conducted on local clones of Git repositories.
- Your source code and commit messages remain secure on your premises, ensuring the protection of your intellectual property.
- No information is captured through the analysis of the source code and commit messages.
- The analysis is carried out by an open-source agent, which can be found here.
No Disruptions for Developers
- There is no need for software installations on developers' computers.
- Developers are not required to provide any additional input.
- Consent from developers is not necessary.