Understanding Performance Concerns in the API Documentation of Data Science Libraries

The development of efficient data science applications is often impeded by unbearably long execution time and rapid RAM exhaustion. Since API documentation is the primary information source for troubleshooting, we investigate how performance concerns are documented in popular data science libraries....

Full description

Bibliographic Details

Published in:	2020 35th IEEE/ACM International Conference on Automated Software Engineering (ASE) pp. 895 - 906
Main Authors:	Tao, Yida, Jiang, Jiefang, Liu, Yepang, Xu, Zhiwu, Qin, Shengchao
Format:	Conference Proceeding
Language:	English
Published:	ACM 01.09.2020
Subjects:	API documentation Data science Documentation empirical study Libraries Maintenance engineering Search problems Software development management Software engineering
ISSN:	2643-1572
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!