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....

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Veröffentlicht in:	2020 35th IEEE/ACM International Conference on Automated Software Engineering (ASE) S. 895 - 906
Hauptverfasser:	Tao, Yida, Jiang, Jiefang, Liu, Yepang, Xu, Zhiwu, Qin, Shengchao
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	ACM 01.09.2020
Schlagworte:	API documentation Data science Documentation empirical study Libraries Maintenance engineering Search problems Software development management Software engineering
ISSN:	2643-1572
Online-Zugang:	Volltext
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