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US 2022/0036279 A1Published application
Git Version Control Analytics
OwnerAlexandru Laurentiu Circei, Constantin Valentin Buzeainventors
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Abstract
Systems and methods are disclosed herein for a Git Version Control Analytics based on assisting engineering managers gain better visibility into their development team. This tool focuses on increasing team productivity and helps managers be data-driven and provide multiple features including but not limited to an interactive dashboard, statistical arrangements for employee evaluation, metrics for daily stand-ups, 1-to-1 meetings, benchmarking stats with the industry, creation of work log, daily update, time card and project timelines.
Claims1
I:
- A performance evaluation system, comprising:
- a) a performance evaluation module configured to enable engineering employees performance reviews based on completion of a plurality of tasks and a plurality of skills required to complete the tasks for each of a plurality of projects on which an employee is staffed, wherein the performance evaluation module returns an employee performance score for the employee in relation to other employees at comparable job levels as the employee;
- b) a module configured to enable a user apply proficiency rating in a desired skill and a length of time for which the candidate employee has utilized the desired skill;
- c) a module configured to enable an exclusive system which assist managers to be data driven and take decisions based on statistical figures and analysis.
- d) a module configured to enable to provide a tool to generate reports for managers without any human input.
- e) a module configured to enable for recording and evaluating daily stand-ups including but not limited to work log, daily updates and time card.
- f) a module configured to enable to provide recording and evaluation of 1-to-1 meetings which includes formation of developer summary to check specific stats for each engineer, impact, throughput, productive throughput, efficiency, technical debt, days active, work type, commit risk and history for all commits.
- g) a module configured to provide a detailed Dashboard to compare the metrics for total impact, code volume, commits volume, commits per active day with the industry standard.
- h) a module configured to enable to produce project timeline and checking of complex stats for the project including but not limited to work volume per total impact, code volume, commits volume, commits per active day, work trends:
- absolute, relative, stacked and top performers for each metric:
- new work, churn, legacy refactor and help others.
- i) a module configured to provide a management system that can handle reliably and efficiently information about individual and bring useful evaluation for managers as per their requirements and multiple performance indicators.
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