A Qualitative Comparison of Three Aspect Mining Techniques

Cojocar

2011

INT J COMPUT COMMUN

Aspect mining is a research direction that tries to identify crosscutting concerns in already developed software systems, without using aspect oriented programming. The goal is to identify them and then to refactor them to aspects, to achieve a system that can be easily understood, maintained and modified. In this paper we propose two new evaluation measures for evaluating the results of partitioning based aspect mining techniques. A small example on how to compute them is provided. The applicability of these measures to different aspect mining techniques is also discussed.

Section: Examplementioning

confidence: 99%

“…There are very few comparisons made between the aspect mining techniques proposed so far [4,10,16,17], and even less comparisons based on the obtained results [4,17]. One important cause is the lack of measures for evaluating the results obtained and the quality of the results (i.e.…”

Section: Introductionmentioning

confidence: 99%

Evaluation Measures for Partitioning based Aspect Mining Techniques

Cojocar

2011

INT J COMPUT COMMUN

“…The result of such a technique is typically an enumeration of joinpoints where the concern is located. Ceccato et al [6] provide a comparison of three different aspect mining techniques: identifier analysis, fan-in analysis and analysis of execution traces. Breu and Krinke propose an approach based on analyzing event traces for concern identification [3].…”

Section: Tool Supportmentioning

confidence: 99%

Automated Pattern-Based Pointcut Generation

Braem

Gybels

Kellens

et al. 2006

Software Composition

Abstract. One of the main problems in Aspect-Oriented Software Development is the so-called fragile pointcut problem. Uncovering and specifying a good robust pointcut is not an easy task. In this paper we propose to use Inductive Logic Programming, and more specifically the FOIL algorithm, to automatically identify intensional (or "pattern-based") pointcuts. We present the tool chain we implemented to induce a pointcut given a set of identified joinpoints. Using several realistic medium-scale experiments, we show that our approach is able to automatically induce robust pointcuts for a set of joinpoints.

Information and Software Technology

“…As a consequence, several works have been developed in two areas that are critical when migrating to this new technology: aspect mining [6,19,34] and aspect-oriented refactoring [21,16,24,25]. The purpose of aspect mining techniques is to identify crosscutting concerns in legacy, non-aspect-oriented code.…”

Section: Introductionmentioning

confidence: 99%

Object-oriented transformations for extracting aspects

Malta

Valente

2009

In the migration of object-oriented systems towards the aspect technology, after locating fragments of code presenting a crosscutting behavior and before extracting such code to aspects, transformations may be needed in the base program. Such transformations aim to associate crosscutting code to points of the base program that can be captured using the pointcut descriptor model of aspect-oriented languages. In this paper, we present a catalog of object-oriented transformations and demonstrate the importance of such transformations by reporting on a case study involving four systems that have been aspectized using AspectJ.