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Tao Chen
Tao Chen
School of Computer Science, UoB, UK
Bestätigte E-Mail-Adresse bei cs.bham.ac.uk
Titel
Zitiert von
Zitiert von
Jahr
A survey and taxonomy of self-aware and self-adaptive cloud autoscaling systems
T Chen, R Bahsoon, X Yao
ACM Computing Surveys 51 (3), 2018
1382018
Self-adaptive and online qos modeling for cloud-based software services
T Chen, R Bahsoon
IEEE Transactions on Software Engineering 43 (5), 453-475, 2017
1072017
FEMOSAA: Feature-guided and knee-driven multi-objective optimization for self-adaptive software
T Chen, K Li, R Bahsoon, X Yao
ACM Transactions on Software Engineering and Methodology (TOSEM) 27 (2), 1-50, 2018
1052018
How to evaluate solutions in Pareto-based search-based software engineering? A critical review and methodological guidance
M Li, T Chen, X Yao
IEEE Transactions on Software Engineering, 2020
982020
Architectural aspects of self-aware and self-expressive computing systems: From psychology to engineering
PR Lewis, A Chandra, F Faniyi, K Glette, T Chen, R Bahsoon, J Torresen, ...
Computer 48 (8), 62-70, 2015
952015
Understanding the automated parameter optimization on transfer learning for cross-project defect prediction: an empirical study
K Li, Z Xiang, T Chen, S Wang, KC Tan
Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020
81*2020
Self-Adaptive Trade-off Decision Making for Autoscaling Cloud-Based Services
T Chen, R Bahsoon
IEEE Transactions on Services Computing 10 (4), 618-632, 2017
782017
The handbook of engineering self-aware and self-expressive systems
T Chen, F Faniyi, R Bahsoon, PR Lewis, X Yao, LL Minku, L Esterle
arXiv preprint arXiv:1409.1793, 2014
712014
DeepSQLi: Deep Semantic Learning for Testing SQL Injection
M Liu, K Li, T Chen
Proceedings of the 29th International Symposium on Software Testing and Analysis, 2020
622020
Self-adaptive and sensitivity-aware QoS modeling for the cloud
T Chen, R Bahsoon
2013 8th International Symposium on Software Engineering for Adaptive and …, 2013
622013
Symbiotic and sensitivity-aware architecture for globally-optimal benefit in self-adaptive cloud
T Chen, R Bahsoon
Proceedings of the 9th International Symposium on Software Engineering for …, 2014
522014
Multi-tenant cloud service composition using evolutionary optimization
S Kumar, R Bahsoon, T Chen, K Li, R Buyya
2018 IEEE 24th international conference on parallel and distributed systems …, 2018
512018
All Versus One: An Empirical Comparison on Retrained and Incremental Machine Learning for Modeling Performance of Adaptable Software
T Chen
Proceedings of the 14th International Symposium on Software Engineering for …, 2019
502019
On the effects of seeding strategies: a case for search-based multi-objective service composition
T Chen, M Li, X Yao
Proceedings of the genetic and evolutionary computation conference, 1419-1426, 2018
492018
BiLO-CPDP: Bi-Level Programming for Automated Model Discovery in Cross-Project Defect Prediction
K Li, Z Xiang, T Chen, KC Tan
Proceedings of the 35th International Conference on Automated Software …, 2020
472020
Online QoS modeling in the cloud: A hybrid and adaptive multi-learners approach
T Chen, R Bahsoon, X Yao
2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing …, 2014
462014
Multi-objectivizing software configuration tuning
T Chen, M Li
Proceedings of the 29th ACM Joint Meeting on European Software Engineering …, 2021
432021
The Weights can be Harmful: Pareto Search versus Weighted Search in Multi-Objective Search-Based Software Engineering
T Chen, M Li
ACM Transactions on Software Engineering and Methodology (TOSEM), 2023
402023
To adapt or not to adapt? technical debt and learning driven self-adaptation for managing runtime performance
T Chen, R Bahsoon, S Wang, X Yao
Proceedings of the 2018 ACM/SPEC International Conference on Performance …, 2018
382018
A critical review of: " a practical guide to select quality indicators for assessing pareto-based search algorithms in search-based software engineering": essay on quality …
M Li, T Chen, X Yao
Proceedings of the 40th International Conference on Software Engineering …, 2018
362018
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