Contributed talk
in
Workshop: Challenges in Deploying and Monitoring Machine Learning Systems
Not Your Grandfather's Test Set: Reducing Labeling Effort for Testing
Begum Taskazan
Building and maintaining high-quality test sets remains a laborious and expensive task. As a result, test sets in the real world are often not properly kept up to date and drift from the production traffic they are supposed to represent. The frequency and severity of this drift raise serious concerns over the value of manually labelled test sets in the QA process. This paper proposes a simple but effective technique that drastically reduces the effort needed to construct and maintain a high-quality test set (reducing labelling effort by 80-100% across a range of practical scenarios). This result encourages a fundamental rethinking of the testing process by both practitioners, who can use these techniques immediately to improve their testing and researchers who can help address many of the open questions raised by this new approach.