How Project Managers Can Predict Bug Resolution Times using Generative AI

Posted On: 13 Jan 2025 Generative AI

We often face challenges in Quality Assurance like unclear bug prioritization, inefficient developer workload distribution, and lack of transparent timelines. These issues some time leads to delays, miscommunication, and resource bottlenecks.

Solution: By predicting bug resolution times based on defect severity and developer skillsets & experience, we can,

Prioritize critical issues and allocate tasks effectively
Optimize resource usage, reducing bottlenecks and burnout
Improve communication between teams, ensuring quicker resolution

This way saves a lot of time and leads to faster, more efficient project delivery. 🚀

Let us see how Generative AI can help us on this,

👉 Here’s the prompt based approach you can try with your AI tool:

Simply copy below prompt with input and output format. Make sure you are providing the defect list with severity and team information as input into your AI tool and ask it to generate the predicted timelines and optimal developer assignments in a given output format.

Sample Prompt:

Prompt : “Predict bug resolution timelines based on issue severity and developer workload.”

Input :

a) List of active bugs with severity :

[List down your defect backlog with severity as shown below]

1. Button Malfunctions: Buttons that don’t trigger intended actions. – High

2. Form Submission Failures: Forms that don’t submit data correctly. – High

3. Search Functionality Issues: Search bars that don’t return accurate results or don’t work at all. – Critical

4. Error Message Discrepancies: Missing or incorrect error messages.- High

5. Layout Problems: Misaligned or overlapping elements. – Medium

6. Text Rendering Issues: Text truncation, overlapping, or poor readability. – Low

7. Color Contrast Problems: Insufficient color contrast between text and background. – Low

8. Media Display Errors: Broken images or missing media. – Critical

9. Slow Load Times: Long loading times for pages. – High

10. Page Crashes or Freezes: Unresponsive or crashing pages. – Critical

11. High Resource Consumption: Excessive CPU or memory usage. – High

12. Vulnerabilities: Susceptibility to attacks like SQL injection or XSS. – High

13. Data Breaches: Exposure of sensitive user data. – High

14. Browser Incompatibility: Incorrect display or functionality in different browsers. – Medium

15. Device Incompatibility: Poor rendering or functionality on various devices. – Medium

16.Screen Reader Incompatibility: Difficulty for visually impaired users to access content. – Medium

17. Keyboard Navigation Issues: Problems for keyboard-only users. – Medium

18. Missing Alternative Text: Lack of descriptions for images. – Low

b) Development Team details with Skillset & Experience :

[List of developers, skills and experience]

1. Anushka : UI developer – Senior – Good Problem Solver

2. Srini : Web Developer – Junior – Intern

3. Shiv : UI Developer – Junior – Intern

4. Nirmal : Team Lead – Senior – Domain knowledge & Critical Thinking

Expected Output :

[Provide expected output format]

AI predicts bug resolution times, identifies high-priority bugs, and suggests developers and shows results in a table format.

Check out the results generated by the AI tool. Just imagine how much time you could save with this !

Pretty interesting, right?

AI Generated Output :

AI tool can predict bug resolution times based on the given severity and developer skillsets as follows,