Name
Abstract | ||
|---|---|---|
Code reviews are an important practice in software development that increases team productivity and improves product quality. They are also examples of remote, computer-mediated asynchronous communications which are prone to the loss of affective information. Prior research has focused on sentiment analysis in source codes, as positive affect has been linked to developer productivity. Although methods of sentiment analysis have advanced, challenges remain due to numerous domain-specific expressions, subtle nuance, and indications of sentiment. In this paper, we uncover the potential for 1) nonverbal behavioral signals such as conventional typing, and 2) indirect physiological measures (eye gaze, GSR, touch pressure) to reveal genuine affective states in in situ code review in a large software company. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.jss.2019.110434 | Journal of Systems and Software |
Keywords | Field | DocType |
Code Review,Affective Computing,Physiological Signals,CSCW | Sentiment analysis,Computer science,Source code,Nonverbal communication,Real-time computing,Eye tracking,Human–computer interaction,Software,Affect (psychology),Code review,Software development | Journal |
Volume | ISSN | Citations |
159 | 0164-1212 | 2 |
PageRank | References | Authors |
0.36 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hana Vrzakova | 1 | 62 | 11.41 |
| Andrew Begel | 2 | 1154 | 70.70 |
| L. Mehtätalo | 3 | 5 | 1.34 |
| Roman Bednarik | 4 | 561 | 48.77 |