Tao Chen

Orcid: 0000-0001-5025-5472

Affiliations:
  • 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 53 papers between 2011 and 2024.

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Bibliography

2024
Deep Configuration Performance Learning: A Systematic Survey and Taxonomy.
CoRR, 2024

Predicting Configuration Performance in Multiple Environments with Sequential Meta-learning.
CoRR, 2024

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

DebtCom: Technical Debt-Aware Service Recomposition in SaaS Cloud.
IEEE Trans. Serv. Comput., 2023

Do Performance Aspirations Matter for Guiding Software Configuration Tuning?
CoRR, 2023

Predicting Software Performance with Divide-and-Learn.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Methodology and Guidelines for Evaluating Multi-Objective Search-Based Software Engineering.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: ICSE 2023 Companion Proceedings, 2023

2022
How to Evaluate Solutions in Pareto-Based Search-Based Software Engineering: A Critical Review and Methodological Guidance.
IEEE Trans. Software Eng., 2022

Lifelong Dynamic Optimization for Self-Adaptive Systems: Fact or Fiction?
Proceedings of the IEEE International Conference on Software Analysis, 2022

Planning Landscape Analysis for Self-Adaptive Systems.
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
MMO: Meta Multi-Objectivization for Software Configuration Tuning.
CoRR, 2021

Multi-Objectivizing Software Configuration Tuning (for a single performance concern).
CoRR, 2021

Multi-objectivizing software configuration tuning.
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

Run-time evaluation of architectures: A case study of diversification in IoT.
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

DeepSQLi: deep semantic learning for testing SQL injection.
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

Cloud Instance Selection Using Parallel K-Means and AHP.
Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing, 2019

Identifying and Estimating Technical Debt for Service Composition in SaaS Cloud.
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

A Survey and Taxonomy of Self-Aware and Self-Adaptive Cloud Autoscaling Systems.
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

Multi-Tenant Cloud Service Composition Using Evolutionary Optimization.
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
Self-Adaptive and Online QoS Modeling for Cloud-Based Software Services.
IEEE Trans. Software Eng., 2017

Self-Adaptive Trade-off Decision Making for Autoscaling Cloud-Based Services.
IEEE Trans. Serv. Comput., 2017

2016
Design Patterns and Primitives: Introduction of Components and Patterns for SACS.
Proceedings of the Self-aware Computing Systems - An Engineering Approach, 2016

Self-aware and self-adaptive autoscaling for cloud based services.
PhD thesis, 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

Self-Aware and Self-Adaptive Autoscaling for Cloud Based Services.
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

The Handbook of Engineering Self-Aware and Self-Expressive Systems.
CoRR, 2014

Online QoS Modeling in the Cloud: A Hybrid and Adaptive Multi-learners Approach.
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
Self-adaptive and sensitivity-aware QoS modeling for the cloud.
Proceedings of the 8th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2013

Dynamic QoS Optimization Architecture for Cloud-Based DDDAS.
Proceedings of the International Conference on Computational Science, 2013

2011
Scalable Service Oriented Replication in the Cloud.
Proceedings of the IEEE International Conference on Cloud Computing, 2011


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