.png){kind=icon}
返回
Conducting quantitative software engineering studies with Alitheia Core
.png){kind=icon}
PRE
AI
DOI：10.1007/s10664-013-9242-3.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Quantitative empirical software engineering research benefits mightily from processing large open source software repository data sets. The diversity of repository management tools and the long history of some projects, renders the task of working with those datasets a tedious and error-prone exercise. The Alitheia Core analysis platform preprocesses repository data into an intermediate format that allows researchers to provide custom analysis tools. Alitheia Core automatically distributes the processing load on multiple processors while enabling programmatic access to the raw data, the metadata, and the analysis results. The tool has been successfully applied on hundreds of medium to large-sized open-source projects, enabling large-scale empirical studies.
Keyword:
Quantitative software engineering
Software repository mining
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.6
论文数:
2.0K
被引数:
5.3K
机构
引用论文
.png){kind=icon}
分享收藏分享收藏分享收藏Optimization of Phase Change Material Heat Sinks for Low Duty Cycle High Peak Load Power Supplies
PREAI
分享收藏
查看更多内容