Title :
An Architectural Evolution Dataset
Author :
Wermelinger, Michel ; Yijun Yu
Author_Institution :
Comput. & Commun. Dept., Open Univ., Milton Keynes, UK
Abstract :
A good evolution process and a good architecture can greatly support the maintainability of long-lived, large software systems. We present AREVOL, a dataset for the empirical study of architectural evolution. The dataset comprises two popular systems from the same domain and using the same component model, to make comparative studies possible. Besides the original component metadata, AREVOL includes scripts to obtain simplified models that nevertheless support rich studies of architectural evolution, as the authors´ previous work has shown.
Keywords :
meta data; software engineering; AREVOL; architectural evolution dataset; component metadata; large software systems; Analytical models; Computer architecture; Data mining; Data models; Feature extraction; Guidelines; Software;
Conference_Titel :
Mining Software Repositories (MSR), 2015 IEEE/ACM 12th Working Conference on
Conference_Location :
Florence
DOI :
10.1109/MSR.2015.74
