Data Driven Requirements Engineering: Implications for the Community

被引：0
|
作者：
Nayebi, Maleknaz [1 ]
机构：
[1] Univ Toronto, Toronto, ON, Canada
来源：
2018 IEEE 26TH INTERNATIONAL REQUIREMENTS ENGINEERING CONFERENCE (RE 2018) | 2018年
关键词：
Requirements engineering; data analytics; Big data; data science; software engineering;
D O I：
10.1109/RE.2018.00058
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper outlines the objectives, structure, and panelists of the data driven requirements engineering panel. This panel is intended to address challenges and opportunities that requirements engineering researchers face in accessing data.
引用
收藏
页码：439 / 441
页数：3
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