You are designing an Azure DevOps strategy for your company's development team.
You suspect that the team's productivity is low due to accumulate technical debt.
You need to recommend a metric to assess the amount of the team's technical debt.
What should you recommend?
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A. B. C. D.D
Technical Debt is the estimated cost to fix code elements issues.
Technical Debt Ratio: Ratio between the cost to develop the software and the cost to fix it. The Technical Debt Ratio formula is:
Remediation cost / Development cost
Which can be restated as:
Remediation cost / (Cost to develop 1 line of code * Number of lines of code)
http://www.azure365.co.in/devops/3PDevOps-4To assess the amount of technical debt, the best metric to recommend would be D. the percentage of overall time spent on rework.
Technical debt refers to the cost of maintaining and evolving an application due to shortcuts taken or incomplete work during the development process. This can lead to slower development, more bugs, and a greater overall cost of ownership. In order to effectively address technical debt, it's important to identify it and quantify it.
While the number of code modules in an application can be a useful metric, it doesn't necessarily tell us much about technical debt. The same goes for the number of unit test failures - this can be a sign of technical debt, but it could also be a sign of other issues, such as insufficient testing or changes to the application that have not yet been accounted for in the unit tests.
The percentage of unit test failures is a slightly better metric, as it can help to identify areas of the application that are particularly prone to bugs or technical debt. However, it still doesn't give us a complete picture of the amount of technical debt present in the application.
The percentage of overall time spent on rework is the best metric to assess technical debt because it directly measures the amount of time spent fixing bugs, addressing technical debt, or otherwise reworking the application. This metric can help to identify areas of the application that are particularly prone to technical debt, as well as the overall impact of technical debt on development productivity.
By tracking the percentage of overall time spent on rework, the development team can get a better understanding of the amount of technical debt in the application and take steps to address it, such as refactoring code or improving testing practices. This can ultimately lead to a more productive and efficient development process.