Title :
SEAgle: Effortless Software Evolution Analysis
Author :
Chaikalis, T. ; Ligu, E. ; Melas, G. ; Chatzigeorgiou, A.
Author_Institution :
Dept. of Appl. Inf., Univ. of Macedonia, Thessaloniki, Greece
fDate :
Sept. 29 2014-Oct. 3 2014
Abstract :
The analysis of software evolution by means of mining public repositories has been established as one of the dominant approaches for empirical studies in software engineering. However, even the investigation of the simplest research question demands a mazy process involving installation and configuration of tools, climbing their learning curve and tedious collection of desired information. Acknowledging the need for effortless querying of remote repositories we introduce a Web-based ´one-click approach´ to perform software evolution analysis of Git projects.
Keywords :
Internet; data mining; query processing; software engineering; Git projects; SEAgle; Web-based one-click approach; effortless software evolution analysis; learning curve; public repository mining; remote repository query; software engineering; software evolution analysis; Correlation; Data mining; Engines; Java; Measurement; Software; Software engineering; mining software repositories; software engineering platforms; software evolution analysis;
Conference_Titel :
Software Maintenance and Evolution (ICSME), 2014 IEEE International Conference on
Conference_Location :
Victoria, BC
DOI :
10.1109/ICSME.2014.100
