Patch Dependency Analysis

Patch Dependency Analysis is a methodological framework within software maintenance and evolution that identifies and evaluates the interdependencies among code patches to determine their mutual influences and potential conflicts during integration.

Publications

Citations

Authors

Institutions

Publications per year

2017–2026

Parents

Patch Analysis

Publications

To connect or not to connect isolated patches

Daniel Franco, Alfonso Ruiz-Herrera · Journal of Theoretical Biology · 2015 · 49 citations

Natural Resources, Landscape Ecology, Computer Networks +9

NUWA-Infinity: Autoregressive over Autoregressive Generation for Infinite Visual Synthesis

Chenfei Wu, Jian Liang, Xiaowei Hu et al. · arXiv (Cornell University) · 2022 · 25 citations · Full text

Computing, Computer Science, Computer Graphics +12

Vulnerable Open Source Dependencies: Counting Those That Matter

Ivan Pashchenko, Henrik Plate, Serena Elisa Ponta et al. · arXiv (Cornell University) · 2018 · 12 citations · Full text

Computing, Computer Science, Computer Systems +17

On the Reproducibility of Software Defect Datasets

Haonan Zhu, Cindy Rubio-González · 2023 · 10 citations

Computing, Computer Engineering, Computer Science +15

1–4 of 3

Authors

HP
Henrik Plate
University of Trento, Italy
1 publications · 12 citations
1
h-index
SE
Serena Elisa Ponta
University of Trento, Italy
1 publications · 12 citations
1
h-index
DF
Daniel Franco
Universidad Nacional de Educación a Distancia, Spain
1 publications · 49 citations
1
h-index
FM
Fabio Massacci
University of Trento, Italy
1 publications · 12 citations
1
h-index
JW
Jianfeng Wang
Dalian Medical University, China
1 publications · 25 citations
1
h-index

1–5 of 16

Institutions

1–4 of 3

Venues

arXiv (Cornell University)
Repository · 2 publications · 37 citations
2
h-index
Journal of Theoretical Biology
1 publications · 49 citations
1
h-index

1–2