FEATURES / CODE PROGRESS
Ensure Growth by Focusing on the Core Component of any Software Company
Efficient and stable progress in the code base means success for software companies. Be aware of the coding capabilities of your teams and realize the key aspects you need to improve.
Monitoring Development Cycle
The cycle time analysis shows your team’s ability to ship new releases/products and should be investigated in depth. The cycle time breakdown is shown for each step including coding, pickup, review, deployment to be able to provide a comprehensive analysis of all aspects of the development cycle.
By using that detailed analysis team leaders can identify the most ineffective parts of the cycle and focus on them to have a bigger impact. Taking necessary actions to eliminate each blockage will result in more effective development and improve the ability to upgrade releases much faster.
Development Behavior
A deeper analysis of the actions of developers and reviewers to understand how well the coding progress is working. The reaction time of reviewers and responsiveness of submitters can be seen alongside pull request details including commits, comments, etc.
Being able to see the troubled parts of the process will enable the managers to recognize the areas in the development process that are open to improvement. Once it is known, it is possible to take action to remove the obstacles.
Quality and Quantity of Work
Both qualitative and quantitative analyses of the work done are available in Valven Atlas insights. It is possible to track the amount of code change and the effectiveness of these changes on a daily basis or total manner.
Knowing when effectiveness is lost provides an opportunity to deep dive into the current issues and possible repetition of these issues. The correlation of the amount of work with the rework ratio enables managers to analyze the negative impacts of code churn on the company.
Commit Risk Analysis
Commits are the atomic components of the code progress. Commits will shape the PR complexity, PR complexity will increase time in the review, test, deployment flows and it will increase the risk of problematic releases and most likely create new issues.
Closely tracking the high-risk commits and related releases will help draw attention to the related parts and enable a flow that will warn the testers to be more careful beforehand to minimize any issues that may raise because of the risk contained in the commits.
