| Year | Rank | Type | Title / Venue / Authors |
|---|---|---|---|
| 2026 | J | jnl |
ACM Trans. Softw. Eng. Methodol.
|
| 2026 | J | jnl |
J. Syst. Softw.
|
| 2025 | — | conf |
ICSA Companion
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models.
ACM Trans. Softw. Eng. Methodol.
|
| 2025 | A | conf |
MSR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | A* | conf |
ASE
|
| 2024 | J | jnl |
CoRR
|
| 2024 | A | conf |
CodeLL: A Lifelong Learning Dataset to Support the Co-Evolution of Data and Language Models of Code.
MSR
|
| 2024 | J | jnl |
CoRR
|
| 2023 | J | jnl |
CodeLL: A Lifelong Learning Dataset to Support the Co-Evolution of Data and Language Models of Code.
CoRR
|
| 2023 | J | jnl |
Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models.
CoRR
|
| 2023 | — | conf |
ESEC/SIGSOFT FSE
|
| 2023 | J | jnl |
CoRR
|
| 2022 | A* | conf |
ASE
|
| 2022 | J | jnl |
CoRR
|
| 2022 | — | conf |
ICSE (NIER)
|
| 2022 | J | jnl |
CoRR
|
| 2022 | J | jnl |
Softw. Syst. Model.
|
| 2021 | J | jnl |
CoRR
|
| 2020 | J | jnl |
CoRR
|
| 2020 | J | jnl |
Softw. Syst. Model.
|
| 2020 | — | conf |
MoDELS (Companion)
|