Aspect Mining Using Method Call Tree

2007 ◽  
Author(s):  
Liping Qu ◽  
Daxin Liu
Keyword(s):  
Aspect Mining ◽  
Call Tree

An Integrated Process for Aspect Mining and Refactoring

2010 ◽  
pp. 176-194
Author(s):  
Esteban S. Abait ◽  
Santiago A. Vidal ◽  
Claudia A. Marcos ◽  
Sandra I. Casas ◽  
Albert A. Osiris Sofia
Keyword(s):  
Real System ◽  
The Other ◽  
Inference Rules ◽  
Integrated Process ◽  
Code Transformation ◽  
Aspect Mining ◽  
Crosscutting Concerns ◽  
Whole Process ◽  
Crosscutting Concern ◽  
Object Oriented Systems

Aspect-Oriented Software Development (AOSD) aims at solving the problem of encapsulating crosscutting concerns, which orthogonally crosscut the components of a system, in units called aspects. This encapsulation improves the modularization of a system and in consequence its maintenance and evolution. In this work, the authors propose a systematic process for the migration of object-oriented systems to aspect-oriented ones. This migration is achieved in two main phases: crosscutting concern identification (aspect mining) and code transformation (aspect refactoring). The aspect mining phase is based on dynamic analysis and association rules to identify potential crosscutting concerns. The aspect refactoring phase, on the other hand, uses inference rules to identify the refactoring that can be applied. The whole process is described and its application on a real system is assessed.

A Model-driven Approach to Aspect Mining

2006 ◽  
Vol 5 (3) ◽  
pp. 573-576
Author(s):  
Bounour Nora ◽  
Ghoul Said
Keyword(s):  
Aspect Mining ◽  
Model Driven ◽  
Model Driven Approach

Aspect Mining Based on Object-Oriented Systems’ Dynamic Behavior Models

2010 ◽  
Vol 40-41 ◽  
pp. 873-876
Author(s):  
Hua Chu ◽  
Qing Shan Li ◽  
Shen Ming Hu ◽  
Ping Chen
Keyword(s):  
Reverse Engineering ◽  
Dynamic Behavior ◽  
Object Oriented ◽  
Engineering Process ◽  
Aspect Mining ◽  
Crosscutting Concerns ◽  
Systematic Experiment ◽  
Statechart Diagram ◽  
Object Oriented Systems ◽  
Behavior Models

Aspect mining is a reverse engineering process that aims at finding crosscutting concerns in existing systems. This paper describes an aspect mining approach making use of the results of reverse engineering, statechart diagram, to aid in the understanding of an object-oriented software system’s behaviors. An aspect based on the recovered statechart diagram is defined as a set of states and an event. These states will transit to the same state after they send the event. Finally, systematic experiment is conducted in the paper in order to verify the correctness and validity of this approach.

Sign in / Sign up

Export Citation Format

Share Document