Your implementation will be graded using GradeScope.
Your score will comprise three elements.
Test score (80% of overall score): score regarding whether your analyzer reports all the expected true alarms
Precision score (10% of overall score): score regarding the precision of your analyzer
Efficiency score (10% of overall score): score regarding the efficiency of your worklist algorithm
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 "6. SmaLLVM Watermark Detector" in KLMS.
Due date
Due: 5. 22 (Wed.) 23:59:59
Late Due: 5. 24 (Fri.) 23:59:59 (with late submission penalty).
[English version follows.]
안녕하세요, 6번 과제가 나왔습니다.
다음 GitHub classroom 링크를 통해 과제 레포지토리를 생성하시기 바랍니다.
채점
과제의 채점은 GradeScope를 통해 자동으로 진행될 것입니다.
과제의 점수는 다음과 같은 세 요소로 구성됩니다.
커버리지
README.md 문서에 안내된 바와 같이 기본 테스트 + 여러분의 수제 테스트로 커버리지를 측정할 예정입니다. 이 때 커버리지는 80% 이상이 나와야 합니다. 수제 테스트를 추가하는 방법은 해당 문서를 참고하시길 바랍니다.
제출 방법
먼저 여러분의 코드를 GitHub에 푸쉬해주시길 바랍니다. 그 후, KLMS의 "6. SmaLLVM Watermark Detector"라는 이름의 과제를 통해 GradeScope에 과제를 제출해주시길 바랍니다.
제출 기한
1차: 5. 22 (수) 23:59:59 까지 2차: 5. 24 (금) 23:59:59 까지 (늦은 제출에 대한 감점이 있습니다)
Hi all,
This is an announcement about Homework 6. Here is the GitHub classroom link for this homework: https://classroom.github.com/a/zYvAlVGx
Auto grading
Your implementation will be graded using GradeScope.
Your score will comprise three elements.
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 "6. SmaLLVM Watermark Detector" in KLMS.
Due date
Due: 5. 22 (Wed.) 23:59:59 Late Due: 5. 24 (Fri.) 23:59:59 (with late submission penalty).