Tao Chen

Registered user since Fri 26 Jan 2018

Name:Tao Chen
Country:United Kingdom
Affiliation:Loughborough University
Personal website:http://taochen.github.io/
Research interests:Search-Based Software Engineering, Self-Adaptive Software Systems, Performance Engineering

Contributions

MSR 2023 Committee Member in Program Committee within the Technical Papers-track
ESEC/FSE 2023 Committee Member in Program Committee within the Research Papers-track
SEAMS 2023 Committee Member in Program Committee within the Research Track-track
APSEC 2022 Author of Multifaceted Hierarchical Report Identification for Non-Functional Bugs in Deep Learning Frameworks within the Technical Track-track
SSBSE 2022 Author of Methodology and Guidelines for Evaluating Multi-Objective Search-Based Software Engineering within the Tutorial-track
Committee Member in Challenge within the Challenge Track-track
ASE 2022 Author of The Weights can be Harmful: Pareto Search versus Weighted Search in Multi-Objective Search-Based Software Engineering within the Journal-first Papers-track
ACSOS 2022 Committee Member in Program Committee within the Main Track-track
EASE 2022 Author of On Reporting Performance and Accuracy Bugs for Deep Learning Frameworks: An Exploratory Study from GitHub within the Research-track
MSR 2022 Author of Does Configuration Encoding Matter in Learning Software Performance? An Empirical Study on Encoding Schemes within the Technical Papers-track
Committee Member in Program Committee within the Technical Papers-track
SEAMS 2022 Author of Planning Landscape Analysis for Self-Adaptive Systems within the SEAMS 2022-track
Committee Member in Program Committee within the SEAMS 2022-track
ESEC/FSE 2021 Author of Multi-objectivizing Software Configuration Tuning within the Research Papers-track
SEAMS 2021 Committee Member in Program Committee within the SEAMS 2021-track
ASE 2020 Author of BiLO-CPDP: Bi-Level Programming for Automated Model Discovery in Cross-Project Defect Prediction within the Research Papers-track
ISSTA 2020 Author of DeepSQLi: Deep Semantic Learning for Testing SQL Injection within the Technical Papers-track
ICSE 2020 Author of Understanding the Automated Parameter Optimization on Transfer Learning for Cross-Project Defect Prediction: An Empirical Study within the Technical Papers-track
Committee Member in Program Committees within the Artifact Evaluation-track
SEAMS 2020 Author of DATESSO: Self-Adapting Service Composition with Debt-Aware Two Levels Constraint Reasoning within the SEAMS 2020-track
Committee Member in Program Committee within the SEAMS 2020-track
ICSE 2019 Author of FEMOSAA: Feature-Guided and Knee-Driven Multi-Objective Optimization for Self-Adaptive Software within the Journal-First Papers-track
SEAMS 2019 Author of All Versus One: An Empirical Comparison on Retrained and Incremental Machine Learning for Modeling Performance of Adaptable Software within the SEAMS 2019-track
* ICSE 2018 * Author of 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 within the NIER - New Ideas and Emerging Results -track