DocumentCode
1638672
Title
Big(ger) Data in Software Engineering
Author
Nagappan, Meiyappan ; Mirakhorli, Mehdi
Author_Institution
Dept. of Software Eng., Rochester Inst. of Technol., Rochester, NY, USA
Volume
2
fYear
2015
Firstpage
957
Lastpage
958
Abstract
"Big Data" analytics has become the next hot topic for most companies - from financial institutions to technology companies to service providers. Likewise in software engineering, data collected about the development of software, the operation of the software in the field, and the users feedback on software have been used before. However, collecting and analyzing this information across hundreds of thousands or millions of software projects gives us the unique ability to reason about the ecosystem at large, and software in general. At no time in history has there been easier access to extremely powerful computational resources as it is today, thanks to the advances in cloud computing, both from the technology and business perspectives. In this technical briefing, we will present the state-of-the-art with respect to the research carried out in the area of big data analytics in software engineering research.
Keywords
Big Data; data analysis; software engineering; Big Data analytics; software engineering; software project; Big data; Companies; Conferences; Data mining; Ecosystems; Software; Software engineering; Big Data; Software Engineering;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering (ICSE), 2015 IEEE/ACM 37th IEEE International Conference on
Conference_Location
Florence
Type
conf
DOI
10.1109/ICSE.2015.305
Filename
7203127
Link To Document