activity
20192022
most citedDoes Configuration Encoding Matter in Learning Software Performance? An Empirical Study on Encoding Schemes

16 citations · 39 across the 5 of their papers we have counts for

collaborators

6 papers

cs.SE20204 cited

BiLO-CPDP: Bi-Level Programming for Automated Model Discovery in Cross-Project Defect Prediction

Ke Li, Zilin Xiang, Tao Chen +1

Cross-Project Defect Prediction (CPDP), which borrows data from similar projects by combining a transfer learner with a classifier, have emerged as a promising way to predict softw…

cs.SE20209 cited

DeepSQLi: Deep Semantic Learning for Testing SQL Injection

Muyang Liu, Ke Li, Tao Chen

Security is unarguably the most serious concern for Web applications, to which SQL injection (SQLi) attack is one of the most devastating attacks. Automatically testing SQLi vulner…

cs.SE2020

DATESSO: Self-Adapting Service Composition with Debt-Aware Two Levels Constraint Reasoning

Satish Kumar, Tao Chen, Rami Bahsoon +1

The rapidly changing workload of service-based systems can easily cause under-/over-utilization on the component services, which can consequently affect the overall Quality of Serv…

cs.NE202010 cited

Understanding the Automated Parameter Optimization on Transfer Learning for CPDP: An Empirical Study

Ke Li, Zilin Xiang, Tao Chen +2

Data-driven defect prediction has become increasingly important in software engineering process. Since it is not uncommon that data from a software project is insufficient for trai…

cs.SE2020

Synergizing Domain Expertise with Self-Awareness in Software Systems: A Patternized Architecture Guideline

Tao Chen, Rami Bahsoon, Xin Yao

To promote engineering self-aware and self-adaptive software systems in a reusable manner, architectural patterns and the related methodology provide an unified solution to handle…

cs.SE2019

On Using Retrained and Incremental Machine Learning for Modeling Performance of Adaptable Software: An Empirical Comparison

Tao Chen

Given the ever-increasing complexity of adaptable software systems and their commonly hidden internal information (e.g., software runs in the public cloud), machine learning based…