Jiawei Li

Orcid: 0000-0002-4434-4812

According to our database1, Jiawei Li authored at least 15 papers between 2021 and 2025.

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

Timeline

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Bibliography

2025
Which Prompting Technique Should I Use? An Empirical Investigation of Prompting Techniques for Software Engineering Tasks.
CoRR, June, 2025

Is Multi-Agent Debate (MAD) the Silver Bullet? An Empirical Analysis of MAD in Code Summarization and Translation.
CoRR, March, 2025

Consider What Humans Consider: Optimizing Commit Message Leveraging Contexts Considered By Human.
CoRR, March, 2025

Optimization is Better than Generation: Optimizing Commit Message Leveraging Human-written Commit Message.
CoRR, January, 2025

Test smell: A parasitic energy consumer in software testing.
Inf. Softw. Technol., 2025

An Empirical Study on Automatically Detecting AI-Generated Source Code: How Far are We?
Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

2024
Only diff Is Not Enough: Generating Commit Messages Leveraging Reasoning and Action of Large Language Model.
Proc. ACM Softw. Eng., 2024

A Deep Dive Into Large Language Model Code Generation Mistakes: What and Why?
CoRR, 2024

Does the Order of Fine-tuning Matter and Why?
CoRR, 2024

2023
Automated Repair of Declarative Software Specifications in the Era of Large Language Models.
CoRR, 2023

Commit Message Matters: Investigating Impact and Evolution of Commit Message Quality.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022
Code Smells in Machine Learning Systems.
CoRR, 2022

2021
Changes from the Trenches: Should We Automate Them?
CoRR, 2021

PyNose: A Test Smell Detector For Python.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

An Empirical Examination of the Impact of Bias on Just-in-time Defect Prediction.
Proceedings of the ESEM '21: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2021


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