102 citations · 243 across the 15 of their papers we have counts for
6 papers · 1 filter
Light over Heavy: Automated Performance Requirements Quantification with Linguistic Inducement
Shihai Wang, Tao Chen
Elicited performance requirements need to be quantified for compliance in different engineering tasks, e.g., configuration tuning and performance testing. Much existing work has re…
MOOT: a Repository of Many Multi-Objective Optimization Tasks
Tim Menzies, Tao Chen, Yulong Ye +4
Software engineers must make decisions that trade off competing goals (faster vs. cheaper, secure vs. usable, accurate vs. interpretable, etc.). Despite MSR's proven techniques for…
CoTune: Co-evolutionary Configuration Tuning
Gangda Xiong, Tao Chen
To automatically tune configurations for the best possible system performance (e.g., runtime or throughput), much work has been focused on designing intelligent heuristics in a tun…
GTPO and GRPO-S: Token and Sequence-Level Reward Shaping with Policy Entropy
Hongze Tan, Zihan Wang, Jianfei Pan +7
Reinforcement Learning (RL) is pivotal for enhancing Large Language Model (LLM) reasoning, yet mainstream algorithms such as GRPO and DAPO remain constrained by a coarse-grained cr…
The Same Only Different: On Information Modality for Configuration Performance Analysis
Hongyuan Liang, Yue Huang, Tao Chen
Configuration in software systems helps to ensure efficient operation and meet diverse user needs. Yet, some, if not all, configuration options have profound implications for the s…
Distilled Lifelong Self-Adaptation for Configurable Systems
Yulong Ye, Tao Chen, Miqing Li
Modern configurable systems provide tremendous opportunities for engineering future intelligent software systems. A key difficulty thereof is how to effectively self-adapt the conf…