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Description

Using your GitHub data to power engineering analytics, you can ship faster and improve team satisfaction. Analyze pull request data at the team level to identify "NorthStar" metrics such as cycle time, deployment frequency and change failure rate that will help you improve delivery. Find bottlenecks such as code review quickly, then experiment with smaller pull requests and automated tests to improve the outcome.

Description

Unify your code, tickets, and additional resources for comprehensive visibility in software development, all centralized in a single platform. You can track aspects like scrum sprint completions, accuracy of estimates, lead times, and kanban work-in-progress, among others. Additionally, manage development time, cost capitalization, R&D credits, and overall project completions seamlessly. You can monitor bug-related metrics such as Service Level Agreements (MTTR), rate of change failures, thoroughness of reviews, total bug load, and beyond. Also, assess pull request cycle times, ticket lead times, time spent in various statuses, context switching, and flow efficiency, to gain deeper insights. All pre-built reports utilize the minQL query language and are completely customizable. With access to any field from any data source, you can develop tailored metrics using advanced formulas, which include custom event cycle times. Establish objectives and monitor your advancement toward reliable software delivery through minware’s extensive collection of scorecard metrics. Evaluate best practices related to code and tickets, such as the use of pull requests, detailed code reviews, and linking branches to tickets for optimal project management. Furthermore, the platform empowers teams to enhance their workflows and drive continuous improvement in software development practices.