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
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ISSN | 1938-4300
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ISBN | 978-1-7281-2509-1
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会议录名称 | |
页码 | 665-668
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会议日期 | 11-15 Nov. 2019
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会议地点 | San Diego, CA, United states
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出版地 | 1515 BROADWAY, NEW YORK, NY 10036-9998 USA
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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
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语种 | 英语
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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]
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WOS研究方向 | Automation & Control Systems
; Computer Science
; Engineering
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WOS类目 | Automation & Control Systems
; Computer Science, Software Engineering
; Engineering, Electrical & Electronic
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WOS记录号 | WOS:000533303400061
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EI入藏号 | 20200608133329
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EI主题词 | Software engineering
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EI分类号 | Computer Programming:723.1
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Scopus记录号 | 2-s2.0-85078873379
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来源库 | Scopus
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全文链接 | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8952224 |
引用统计 |
被引频次[WOS]:0
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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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条目包含的文件 | 条目无相关文件。 |
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