CSC/ECE 517 Fall 2021 - E2164. Heatgrid fixes and improvements

Project Background

Peer-review systems like Expertiza utilize a lot of students’ input to determine each other’s performance. At the same time, students learn from the reviews they receive to improve their own performance. In order to make this happen, it would be good to have everyone give quality reviews instead of generic ones. Currently, Expertiza has a few classifiers that can detect useful features of review comments, such as whether they contain suggestions. The suggestion-detection algorithm has been coded as a web service, and other detection algorithms, such as problem detection and sentiment analysis, also exist as newer web services. We need to make the UI more intuitive by allowing users to view the feedback of specific review comments and the code needs to be refactored to remove redundancy to follow the DRY principle.

Issue 1

Problem Definition

Issue #2019

questions whether the reviewers are correctly identified. In one case, a student was shown as reviewing his/her team, which is impossible. Also write tests so that if this bug occurs again, we will be informed.

Team

• Shlok Sayani (sdsayani)

• Hardik Udeshi (hvudeshi)

• Isha Gupta (igupta)

• Manish Shinde (msshinde)