Title
Towards a taxonomy for annotation of data science experiment repositories
Abstract
Data scientists, like software engineers, use search engines, code repositories, tutorials, and question and answer sites for finding code snippets. The objective of this study is to understand what information can be extracted from data science experiment repositories for quicker availability of relevant information when data scientists search for information. In this paper, we investigated a set...
Year
DOI
Venue
2021
10.1109/SCAM52516.2021.00018
2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM)
Keywords
DocType
ISSN
data scientists,experiments,source code,taxonomy,information finding
Conference
1942-5430
ISBN
Citations 
PageRank 
978-1-6654-4897-0
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Shangeetha Sivasothy100.68
Scott Barnett200.34
Niroshinie Fernando331213.33
Rajesh Vasa421823.64
Roopak Sinha500.34
Andrew Simmons622.07