Paper Info
Title
Using fold-in and fold-out in the architecture recovery of software systems
Abstract
In this paper we present an approach to automate the architecture recovery process of software systems. The approach is built on information retrieval and clustering techniques, and, in particular, uses Latent Semantic Indexing (LSI) to get similarities among software entities (e.g., programs or classes) and the k-means clustering algorithm to form groups of software entities that implement similar functionality. In order to improve computational time in the context of the software evolution and then reduce energy waste, the architecture recovery process can be also applied by using fold-in and fold-out mechanisms that, respectively, add and remove software entities to the LSI representation of the understudy software system. The approach has been implemented in a prototype of a supporting software system as an Eclipse plug-in. Finally, to assess the approach and the plug-in, we have conducted an empirical investigation on five open source software systems implemented using the programming languages Java and C/C++. In the investigation special emphasis has been also given to the effect of using the fold-in and fold-out mechanisms.
Year
DOI
Venue
2012
10.1007/s00165-011-0199-y
Formal Asp. Comput.
Keywords
DocType
Volume
software system,software entity,fold-out mechanism,clustering technique,software evolution,open source software system,software partitioning,supporting software system,lsi representation,software maintenance,program comprehension,architecture recovery process,understudy software system,latent semantic indexing,clustering
Journal
24
Issue
ISSN
Citations 
3
1433-299X
11
PageRank 
References 
Authors
0.48
32
3
Name
Order
Citations
PageRank
Michele Risi140340.98
Giuseppe Scanniello288377.10
Genoveffa Tortora31477151.59