Ranking Computer Vision Service Issues using Emotion
This addresses the emotional challenges faced by software developers using ML APIs, but it is incremental as it applies an existing emotion classifier to a new dataset.
The paper tackled the problem of understanding software developers' emotional states when dealing with machine learning API issues by analyzing 1,245 Stack Overflow posts about computer vision APIs, finding that emotion profiles vary across different question categories.
Software developers are increasingly using machine learning APIs to implement 'intelligent' features. Studies show that incorporating machine learning into an application increases technical debt, creates data dependencies, and introduces uncertainty due to non-deterministic behaviour. However, we know very little about the emotional state of software developers who deal with such issues. In this paper, we do a landscape analysis of emotion found in 1,245 Stack Overflow posts about computer vision APIs. We investigate the application of an existing emotion classifier EmoTxt and manually verify our results. We found that the emotion profile varies for different question categories.