Paper Info
Title
Big Data Benefits for the Software Measurement Community
Abstract
The methods, models and technologies in the context of Big Data approaches has coined a new understanding of empirical analyses. First success stories of such kind of analytic data base systems exist in many domains. This research follows the question if software measurement can take advantages from Big Data. Considering the problems in software measurement applications and practice are described using the Big Data approaches and existing resources. Important for large empirical studies are a new kind of data sources driven by cloud based development solutions. Therefore, we concentrate on the available project data managed by GitHub. Examples of Big Data applications demonstrate their benefits in software measurement practices and communities.
Year
DOI
Venue
2016
10.1109/IWSM-Mensura.2016.025
2016 Joint Conference of the International Workshop on Software Measurement and the International Conference on Software Process and Product Measurement (IWSM-MENSURA)
Keywords
Field
DocType
Data Analytics,Big Data,Software Measurement,GitHub,Google Big Table
Data science,Data analysis,Computer science,Big data,Empirical research,Software measurement,Cloud computing
Conference
ISBN
Citations 
PageRank 
978-1-5090-4148-0
0
0.34
References 
Authors
10
3
Name
Order
Citations
PageRank
Jan Hentschel100.34
Andreas Schmietendorf210823.92
Reiner R. Dumke323949.49