Tao Chen
Orcid: 0000-0001-5025-5472Affiliations:
- Loughborough University, Department of Computer Science, Leicestershire, UK
- Nottingham Trent University, Department of Computing and Technology, Nottingham, UK
- University of Birmingham, School of Computer Science, Birmingham, UK (PhD 2016)
According to our database1,
Tao Chen
authored at least 59 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
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on lboro.ac.uk
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Bibliography
2024
IEEE Trans. Software Eng., June, 2024
Predicting Configuration Performance in Multiple Environments with Sequential Meta-Learning.
Proc. ACM Softw. Eng., 2024
Proc. ACM Softw. Eng., 2024
CoRR, 2024
Methodology and Guidelines for Evaluating Multi-objective Search-Based Software Engineering.
Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024
Contexts Matter: An Empirical Study on Contextual Influence in Fairness Testing for Deep Learning Systems.
Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2024
2023
Do Performance Aspirations Matter for Guiding Software Configuration Tuning? An Empirical Investigation under Dual Performance Objectives.
ACM Trans. Softw. Eng. Methodol., May, 2023
The Weights Can Be Harmful: Pareto Search versus Weighted Search in Multi-objective Search-based Software Engineering.
ACM Trans. Softw. Eng. Methodol., January, 2023
IEEE Trans. Serv. Comput., 2023
CoRR, 2023
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023
2022
How to Evaluate Solutions in Pareto-Based Search-Based Software Engineering: A Critical Review and Methodological Guidance.
IEEE Trans. Software Eng., 2022
LONViZ: Unboxing the black-box of Configurable Software Systems from a Complex Networks Perspective.
CoRR, 2022
Proceedings of the IEEE International Conference on Software Analysis, 2022
Proceedings of the International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2022
Does Configuration Encoding Matter in Learning Software Performance? An Empirical Study on Encoding Schemes.
Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022
On Reporting Performance and Accuracy Bugs for Deep Learning Frameworks: An Exploratory Study from GitHub.
Proceedings of the EASE 2022: The International Conference on Evaluation and Assessment in Software Engineering 2022, Gothenburg, Sweden, June 13, 2022
Multifaceted Hierarchical Report Identification for Non-Functional Bugs in Deep Learning Frameworks.
Proceedings of the 29th Asia-Pacific Software Engineering Conference, 2022
2021
Multi-Objectivizing Software Configuration Tuning (for a single performance concern).
CoRR, 2021
Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021
2020
Synergizing Domain Expertise With Self-Awareness in Software Systems: A Patternized Architecture Guideline.
Proc. IEEE, 2020
J. Syst. Softw., 2020
Understanding the Automated Parameter Optimization on Transfer Learning for CPDP: An Empirical Study.
CoRR, 2020
Search-Based Software Engineering for Self-Adaptive Systems: One Survey, Five Disappointments and Six Opportunities.
CoRR, 2020
BiLO-CPDP: Bi-Level Programming for Automated Model Discovery in Cross-Project Defect Prediction.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020
Proceedings of the ISSTA '20: 29th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2020
Understanding the automated parameter optimization on transfer learning for cross-project defect prediction: an empirical study.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020
DATESSO: self-adapting service composition with debt-aware two levels constraint reasoning.
Proceedings of the SEAMS '20: IEEE/ACM 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, Seoul, Republic of Korea, 29 June, 2020
2019
Standing on the shoulders of giants: Seeding search-based multi-objective optimization with prior knowledge for software service composition.
Inf. Softw. Technol., 2019
On Using Retrained and Incremental Machine Learning for Modeling Performance of Adaptable Software: An Empirical Comparison.
CoRR, 2019
Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing, 2019
Proceedings of the 2019 IEEE International Conference on Web Services, 2019
All versus one: an empirical comparison on retrained and incremental machine learning for modeling performance of adaptable software.
Proceedings of the 14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2019
Security testing of web applications: a search-based approach for detecting SQL injection vulnerabilities.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
2018
FEMOSAA: Feature-Guided and Knee-Driven Multi-Objective Optimization for Self-Adaptive Software.
ACM Trans. Softw. Eng. Methodol., 2018
ACM Comput. Surv., 2018
To Adapt or Not to Adapt?: Technical Debt and Learning Driven Self-Adaptation for Managing Runtime Performance.
Proceedings of the 2018 ACM/SPEC International Conference on Performance Engineering, 2018
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 indicator selection for SBSE.
Proceedings of the 40th International Conference on Software Engineering: New Ideas and Emerging Results, 2018
Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018
On the effects of seeding strategies: a case for search-based multi-objective service composition.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
2017
IEEE Trans. Software Eng., 2017
IEEE Trans. Serv. Comput., 2017
2016
Proceedings of the Self-aware Computing Systems - An Engineering Approach, 2016
FEMOSAA: Feature Guided and Knee Driven Multi-Objective Optimization for Self-Adaptive Software at Runtime.
CoRR, 2016
Survey and Taxonomy of Self-Aware and Self-Adaptive Autoscaling Systems in the Cloud.
CoRR, 2016
Bridging Ecology and Cloud: Transposing Ecological Prespective to Enable Better Cloud Autoscaling.
CoRR, 2016
2015
Architectural Aspects of Self-Aware and Self-Expressive Computing Systems: From Psychology to Engineering.
Computer, 2015
Toward a Smarter Cloud: Self-Aware Autoscaling of Cloud Configurations and Resources.
Computer, 2015
2014
Scalable service-oriented replication with flexible consistency guarantee in the cloud.
Inf. Sci., 2014
Proceedings of the 7th IEEE/ACM International Conference on Utility and Cloud Computing, 2014
Symbiotic and sensitivity-aware architecture for globally-optimal benefit in self-adaptive cloud.
Proceedings of the 9th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2014
2013
Proceedings of the 8th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2013
Proceedings of the International Conference on Computational Science, 2013
2011
Proceedings of the IEEE International Conference on Cloud Computing, 2011