activity
20202022
most citedThe Weights can be Harmful: Pareto Search versus Weighted Search in Multi-Objective Search-Based Software Engineering

48 citations · 99 across the 3 of their papers we have counts for

collaborators

5 papers

cs.SE202211 cited

Planning Landscape Analysis for Self-Adaptive Systems

Tao Chen

To assure performance on the fly, planning is arguably one of the most important steps for self-adaptive systems (SASs), especially when they are highly configurable with a dauntin…

cs.SE202248 cited

The Weights can be Harmful: Pareto Search versus Weighted Search in Multi-Objective Search-Based Software Engineering

Tao Chen, Miqing Li

In presence of multiple objectives to be optimized in Search-Based Software Engineering (SBSE), Pareto search has been commonly adopted. It searches for a good approximation of the…

cs.DC202140 cited

Multi-Objectivizing Software Configuration Tuning (for a single performance concern)

Tao Chen, Miqing Li

Automatically tuning software configuration for optimizing a single performance attribute (e.g., minimizing latency) is not trivial, due to the nature of the configuration systems…

cs.SE2020

How to Evaluate Solutions in Pareto-based Search-Based Software Engineering? A Critical Review and Methodological Guidance

Miqing Li, Tao Chen, Xin Yao

With modern requirements, there is an increasing tendency of considering multiple objectives/criteria simultaneously in many Software Engineering (SE) scenarios. Such a multi-objec…

cs.SE2020

Search-Based Software Engineering for Self-Adaptive Systems: Survey, Disappointments, Suggestions and Opportunities

Tao Chen, Miqing Li, Ke Li +1

Search-Based Software Engineering (SBSE) is a promising paradigm that exploits the computational search to optimize different processes when engineering complex software systems. S…