S&P issue elicitation from reviews on Mobile Apps Reviews (various)
90S&P Issue RatioHarkous et al. 2022
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| Harkous et al. 2022App/Device-Types (#)=1.3M apps, Training Data=taxonomy+NLI, Model=T52026.01 | 90 | — | — | |
| Akgul et al. 2024App/Device-Types (#)=160K apps (over 10 yrs), Training Data=taxonomy+NLI, Model=T52026.01 | 65 | — | — | |
| Mukherjee et al. 2020App/Device-Types (#)=539 apps, Training Data=keyword, Model=SVM2026.01 | 50 | — | — | |
| Nguyen et al. 2019App/Device-Types (#)=2,583 apps, Training Data=keywords, Model=SVM2026.01 | 12 | — | — | |
| Besmer, Watson, and Banks 2020App/Device-Types (#)=5M apps, Training Data=keyword, Model=Logistic Regression2026.01 | 7 | — | 9 | |
| Cen et al. 2014App/Device-Types (#)=6,938 apps, Training Data=keywords, Model=Logistic Regression2026.01 | 5 | — | 5 |