Milliseid lähenemisviise kasutasite ülesannete keerukuse hindamise vigade kõrvaldamiseks?

To correct errors in estimating task complexity in C# projects, I used several approaches:

• Task decomposition: I broke down a large task into smaller subtasks to evaluate each part more accurately.
• Team discussion: joint discussion of requirements and possible technical difficulties helped identify hidden aspects.
• Use of historical data: I analyzed the time and resources spent on similar tasks in the past.
• Prototyping: I created minimal prototypes or PoC to understand the complexity of implementation.
• Time buffer: I added a buffer for unforeseen difficulties.

Example: if the task is to implement a new module with API integration, I first estimate separately:

• studying the API — 1 day
• developing the basic logic — 3 days
• error handling and testing — 2 days

In total, I get a more accurate estimate than trying to evaluate the entire task at once.