[Announcement] HW 5 is out.

[goodtaeeun]

Hi all,

This is an announcement about Homework 5.
Here is the GitHub classroom link for this homework:
https://classroom.github.com/a/ee8-XRqg

Auto grading

Your implementation will be graded using GradeScope.

Your score will comprise four elements.

• Test score (60% of overall score): score regarding whether your analyzer reports all the expected true alarms
• Precision score (15% of overall score): score regarding the precision of your analyzer
• Efficiency score (15% of overall score): score regarding the efficiency of your worklist algorithm
• Quiz (10% of overall score): will be graded manually after the late due date.

Since there is a Quiz of 10%, the maximum score you will see on the leaderboard will be 90.

Coverage

As explained in the README file, we will check the coverage of your code (> 80%) using the basic tests + your custom tests.
Refer to this document for how to add your custom tests.

How to submit

As before, push your code to GitHub first.
Then, submit via Gradescope, which you can access by the assignment with the name "5. ThriLLVM Analyzer" in KLMS.

Due date

Due: 5. 8 (Wed.) 23:59:59
Late Due: 5. 10 (Fri.) 23:59:59 (with late submission penalty).

[goodtaeeun]

4/29 2:18 PM: Invitation link is updated.
Please reaccept the invitation if you have already accepted it.