Dayi Lin

Orcid: 0000-0002-4034-6650

According to our database1, Dayi Lin authored at least 46 papers between 2016 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2025
RepoForge: Training a SOTA Fast-thinking SWE Agent with an End-to-End Data Curation Pipeline Synergizing SFT and RL at Scale.
CoRR, August, 2025

SPICE: An Automated SWE-Bench Labeling Pipeline for Issue Clarity, Test Coverage, and Effort Estimation.
CoRR, July, 2025

Towards Conversational Development Environments: Using Theory-of-Mind and Multi-Agent Architectures for Requirements Refinement.
CoRR, May, 2025

The Hitchhikers Guide to Production-ready Trustworthy Foundation Model powered Software (FMware).
CoRR, May, 2025

MetaSel: A Test Selection Approach for Fine-tuned DNN Models.
CoRR, March, 2025

SimClone: Detecting Tabular Data Clones Using Value Similarity.
ACM Trans. Softw. Eng. Methodol., January, 2025

A Framework and Taxonomy for Characterizing the Applicability of Software Architecture Recovery Approaches: A Tertiary-Mapping Study.
Softw. Pract. Exp., 2025

A Tutorial on Software Engineering for FMware.
Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

Real-Time Adapting Routing (Rar): Improving Efficiency Through Continuous Learning in Software Powered by Layered Foundation Models.
Proceedings of the 47th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2025

Model Performance-Guided Evaluation Data Selection for Effective Prompt Optimization.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
TEASMA: A Practical Methodology for Test Adequacy Assessment of Deep Neural Networks.
IEEE Trans. Software Eng., December, 2024

Emerging Advanced Technologies for Game Engineering.
ACM SIGSOFT Softw. Eng. Notes, July, 2024

Engineering AI Judge Systems.
CoRR, 2024

Watson: A Cognitive Observability Framework for the Reasoning of Foundation Model-Powered Agents.
CoRR, 2024

From Cool Demos to Production-Ready FMware: Core Challenges and a Technology Roadmap.
CoRR, 2024

PromptExp: Multi-granularity Prompt Explanation of Large Language Models.
CoRR, 2024

Towards AI-Native Software Engineering (SE 3.0): A Vision and a Challenge Roadmap.
CoRR, 2024

Data Quality Antipatterns for Software Analytics.
CoRR, 2024

A Framework for Real-time Safeguarding the Text Generation of Large Language Model.
CoRR, 2024

Rethinking Software Engineering in the Foundation Model Era: From Task-Driven AI Copilots to Goal-Driven AI Pair Programmers.
CoRR, 2024

Rethinking Software Engineering in the Foundation Model Era: A Curated Catalogue of Challenges in the Development of Trustworthy FMware.
CoRR, 2024

Keeping Deep Learning Models in Check: A History-Based Approach to Mitigate Overfitting.
IEEE Access, 2024

Rethinking Software Engineering in the Era of Foundation Models: A Curated Catalogue of Challenges in the Development of Trustworthy FMware.
Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

A Tutorial on Software Engineering for FMware.
Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

Technical Brief on Software Engineering for FMware.
Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

Foreword to the 8th International Workshop on Games and Software Engineering (GAS 2024).
Proceedings of the 8th IEEE/ACM International Workshop on Games and Software Engineering, 2024

2023
Fostering Collaboration and Advancing Research in Software Engineering and Game Development for Serious Contexts.
ACM SIGSOFT Softw. Eng. Notes, October, 2023

Games and Software Engineering: Engineering fun, inspiration, and motivation.
ACM SIGSOFT Softw. Eng. Notes, January, 2023

TEASMA: A Practical Approach for the Test Assessment of Deep Neural Networks using Mutation Analysis.
CoRR, 2023

Analyzing Gamer Complaints in Reviews of Cross-Platform Video Games on Steam.
Proceedings of the IEEE Conference on Games, 2023

2022
The Impact of Data Merging on the Interpretation of Cross-Project Just-In-Time Defect Models.
IEEE Trans. Software Eng., 2022

Towards a Consistent Interpretation of AIOps Models.
ACM Trans. Softw. Eng. Methodol., 2022

What Causes Wrong Sentiment Classifications of Game Reviews?
IEEE Trans. Games, 2022

An Empirical Study of Delayed Games on Steam.
CoRR, 2022

Towards Training Reproducible Deep Learning Models.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021
An Empirical Study of Trends of Popular Virtual Reality Games and Their Complaints.
IEEE Trans. Games, 2021

Can I use this publicly available dataset to build commercial AI software? Most likely not.
CoRR, 2021

2020
An empirical study of the characteristics of popular Minecraft mods.
Empir. Softw. Eng., 2020

Building the perfect game - an empirical study of game modifications.
Empir. Softw. Eng., 2020

2019
How Can Game Developers Leverage Data from Online Distribution Platforms? A Case Study of the Steam Platform.
PhD thesis, 2019

An empirical study of game reviews on the Steam platform.
Empir. Softw. Eng., 2019

Identifying gameplay videos that exhibit bugs in computer games.
Empir. Softw. Eng., 2019

2018
An empirical study of early access games on the Steam platform.
Empir. Softw. Eng., 2018

2017
Studying the urgent updates of popular games on the Steam platform.
Empir. Softw. Eng., 2017

2016
Chinese term extraction from web pages based on expected point-wise mutual information.
Proceedings of the 12th International Conference on Natural Computation, 2016

Chinese word segmentation based on conditional random fields with character clustering.
Proceedings of the 2016 International Conference on Asian Language Processing, 2016


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