中文版 | English
题名

How Do API selections affect the runtime performance of data analytics tasks?

作者
通讯作者Xu,Zhiwu
DOI
发表日期
2019-11-01
ISSN
1938-4300
ISBN
978-1-7281-2509-1
会议录名称
页码
665-668
会议日期
11-15 Nov. 2019
会议地点
San Diego, CA, United states
出版地
1515 BROADWAY, NEW YORK, NY 10036-9998 USA
出版者
摘要
As data volume and complexity grow at an unprecedented rate, the performance of data analytics programs is becoming a major concern for developers. We observed that developers sometimes use alternative data analytics APIs to improve program runtime performance while preserving functional equivalence. However, little is known on the characteristics and performance attributes of alternative data analytics APIs. In this paper, we propose a novel approach to extracting alternative implementations that invoke different data analytics APIs to solve the same tasks. A key appeal of our approach is that it exploits the comparative structures in Stack Overflow discussions to discover programming alternatives. We show that our approach is promising, as 86% of the extracted code pairs were validated as true alternative implementations. In over 20% of these pairs, the faster implementation was reported to achieve a 10x or more speedup over its slower alternative. We hope that our study offers a new perspective of API recommendation and motivates future research on optimizing data analytics programs.
关键词
学校署名
其他
语种
英语
相关链接[Scopus记录]
收录类别
资助项目
National Natural Science Foundation of China[61772347][61972260][61932021][61802164]
WOS研究方向
Automation & Control Systems ; Computer Science ; Engineering
WOS类目
Automation & Control Systems ; Computer Science, Software Engineering ; Engineering, Electrical & Electronic
WOS记录号
WOS:000533303400061
EI入藏号
20200608133329
EI主题词
Software engineering
EI分类号
Computer Programming:723.1
Scopus记录号
2-s2.0-85078873379
来源库
Scopus
全文链接https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8952224
引用统计
被引频次[WOS]:0
成果类型会议论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/63753
专题工学院_计算机科学与工程系
作者单位
1.College of Computer Science and Software Engineering,Shenzhen University,Shenzhen,China
2.Department of Computer Science &engineering,Southern University of Science and Technology,Shenzhen,China
3.School of Computing &digital Technologies,Teesside University,United Kingdom
推荐引用方式
GB/T 7714
Tao,Yida,Tang,Shan,Liu,Yepang,et al. How Do API selections affect the runtime performance of data analytics tasks?[C]. 1515 BROADWAY, NEW YORK, NY 10036-9998 USA:Institute of Electrical and Electronics Engineers Inc.,2019:665-668.
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