| Fresh apps: an empirical study of frequently-updated mobile apps in the Google play store S McIlroy, N Ali, AE Hassan Empirical Software Engineering 21, 1346-1370, 2016 | 279 | 2016 |
| Analyzing and automatically labelling the types of user issues that are raised in mobile app reviews S McIlroy, N Ali, H Khalid, A E. Hassan Empirical Software Engineering 21, 1067-1106, 2016 | 242 | 2016 |
| Truth in advertising: The hidden cost of mobile ads for software developers J Gui, S Mcilroy, M Nagappan, WGJ Halfond 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering 1 …, 2015 | 145 | 2015 |
| Is it worth responding to reviews? studying the top free apps in google play S McIlroy, W Shang, N Ali, AE Hassan IEEE Software 34 (3), 64-71, 2015 | 60 | 2015 |
| User reviews of top mobile apps in Apple and Google app stores S Mcilroy, W Shang, N Ali, AE Hassan Communications of the ACM 60 (11), 62-67, 2017 | 51 | 2017 |
| Impact of biased mislabeling on learning with deep networks FS Fard, P Hollensen, S Mcilory, T Trappenberg 2017 International Joint Conference on Neural Networks (IJCNN), 2652-2657, 2017 | 8 | 2017 |
| In vivo classification of inflammation in blood vessels with convolutional neural networks S McIlroy, Y Kubo, T Trappenberg, J Toguri, C Lehmann 2017 International Joint Conference on Neural Networks (IJCNN), 3022-3027, 2017 | 5 | 2017 |
| E Hassan A (2015) Analyzing and automatically labelling the types of user issues that are raised in mobile app reviews S McIlroy, N Ali, H Khalid Empirical Software Engineering, 1-40, 0 | 4 | |
| Empirical studies of the distribution and feedback mechanisms of mobile app stores S Mcilroy Queen's University (Canada), 2014 | 2 | 2014 |
