35 citations · 47 across the 5 of their papers we have counts for
5 papers
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…
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…
Bridging Ecology and Cloud: Transposing Ecological Prespective to Enable Better Cloud Autoscaling
Tao Chen, Rami Bahsoon
Elastic autoscaling is the fundamental mechanism that enables the cloud-based services to continually evolve themselves - through changing the related software configurations and h…
Self-Aware and Self-Adaptive Autoscaling for Cloud Based Services
Tao Chen
Modern Internet services are increasingly leveraging on cloud computing for flexible, elastic and on-demand provision. Typically, Quality of Service (QoS) of cloud-based services c…
The Handbook of Engineering Self-Aware and Self-Expressive Systems
Tao Chen, Funmilade Faniyi, Rami Bahsoon +4
When faced with the task of designing and implementing a new self-aware and self-expressive computing system, researchers and practitioners need a set of guidelines on how to use t…