| Empirical study of the effects of open source adoption on software development economics SA Ajila, D Wu Journal of Systems and Software 80 (9), 1517-1529, 2007 | 177 | 2007 |
| Mobile network traffic prediction using MLP, MLPWD, and SVM AY Nikravesh, SA Ajila, CH Lung, W Ding 2016 IEEE international congress on big data (BigData Congress), 402-409, 2016 | 131 | 2016 |
| Towards an autonomic auto-scaling prediction system for cloud resource provisioning AY Nikravesh, SA Ajila, CH Lung 2015 IEEE/ACM 10th International Symposium on Software Engineering for …, 2015 | 126 | 2015 |
| Cloud client prediction models for cloud resource provisioning in a multitier web application environment AA Bankole, SA Ajila 2013 IEEE Seventh International Symposium on Service-Oriented System …, 2013 | 105 | 2013 |
| Predicting cloud resource provisioning using machine learning techniques AA Bankole, SA Ajila 2013 26th IEEE Canadian Conference on Electrical and Computer Engineering …, 2013 | 104 | 2013 |
| Software maintenance: an approach to impact analysis of objects change S Ajila Software: Practice and Experience 25 (10), 1155-1181, 1995 | 87 | 1995 |
| An autonomic prediction suite for cloud resource provisioning AY Nikravesh, SA Ajila, CH Lung Journal of Cloud Computing 6, 1-20, 2017 | 66 | 2017 |
| Cloud client prediction models using machine learning techniques SA Ajila, AA Bankole 2013 IEEE 37th Annual Computer Software and Applications Conference, 134-142, 2013 | 61 | 2013 |
| Using traceability mechanisms to support software product line evolution SA Ajila, AB Kaba Proceedings of the 2004 IEEE International Conference on Information Reuse …, 2004 | 53 | 2004 |
| Evolution support mechanisms for software product line process SA Ajila, AB Kaba Journal of Systems and Software 81 (10), 1784-1801, 2008 | 47 | 2008 |
| LXC container migration in cloudlets under multipath TCP Y Qiu, CH Lung, S Ajila, P Srivastava 2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC …, 2017 | 46 | 2017 |
| Experimental use of code delta, code churn, and rate of change to understand software product line evolution SA Ajila, RT Dumitrescu Journal of Systems and Software 80 (1), 74-91, 2007 | 44 | 2007 |
| Measuring prediction sensitivity of a cloud auto-scaling system AY Nikravesh, SA Ajila, CH Lung 2014 IEEE 38th International Computer Software and Applications Conference …, 2014 | 40 | 2014 |
| Cloud resource auto-scaling system based on hidden markov model (hmm) AY Nikravesh, SA Ajila, CH Lung 2014 IEEE International Conference on Semantic Computing, 124-127, 2014 | 32 | 2014 |
| Experimental evaluation of LXC container migration for cloudlets using multipath TCP Y Qiu, CH Lung, S Ajila, P Srivastava Computer Networks 164, 106900, 2019 | 31 | 2019 |
| Using machine learning algorithms for cloud client prediction models in a web VM resource provisioning environment SA Ajila, AA Bankole Transactions on Machine Learning and Artificial Intelligence 4 (1), 28, 2016 | 26 | 2016 |
| A comprehensive analysis of accuracies of machine learning algorithms for network intrusion detection A Das, SA Ajila, CH Lung Machine Learning for Networking: Second IFIP TC 6 International Conference …, 2020 | 22 | 2020 |
| Using genetic algorithms to find optimal solution in a search space for a cloud predictive cost-driven decision maker AY Nikravesh, SA Ajila, CH Lung Journal of Cloud Computing 7, 1-21, 2018 | 22 | 2018 |
| Nearby live virtual machine migration using cloudlets and multipath TCP F Teka, CH Lung, SA Ajila Journal of Cloud Computing 5, 1-21, 2016 | 21 | 2016 |
| Seamless live virtual machine migration with cloudlets and multipath TCP F Teka, CH Lung, S Ajila 2015 IEEE 39th Annual Computer Software and Applications Conference 2, 607-616, 2015 | 21 | 2015 |
