An Approach to Discovering Reusable
Components in Java Legacy System
Junfeng Zhao
College of Computer Science
Inner Mongolia University
Hohhot, China
cszjf@imu.edu.cn
Yingjie Li
College of Computer Science
Inner Mongolia University
Hohhot, China
2769392302@qq.com
Abstract— With the development of modern society, human
beings are more and more aware of the importance of creativity.
As a new area of research, creative computing will play a bigger
role in life. There is no doubt that a large pool of knowledge is
the foundation of creativity. Research shows that legacy systems
contain not only a great deal of domain expertise, but also a lot of
reusable components. From this point, a new component
extraction approach is proposed to extract reusable components
of the system and provide better foundation and inspiration for
creativity. Experiments have shown that this approach can
extract reusable components efficiently, which is helpful for
creativity.
Keywords—creative computing, legacy system, reusable
component
I. INTRODUCTION
The invention of computer has provided many
conveniences for our life and work. However, as advanced
computing technologies continue to emerge, companies are
finding that quality environments and facilities are no longer
core competitive advantages. In recent years, creativity has
begun to attract more attention. As a new research field,
creative computing began to play an important role in daily
work and life. It can provide suggestions to support users'
creativity and improve development efficiency.
There is no doubt that a large pool of knowledge is the
foundation of creativity [1]. Only with sufficient knowledge
can more creative ideas be generated. Surveys show that
traditional software systems not only contain a large amount of
domain knowledge, but also contain many reusable
components with high utilization value [2]. Based on this
discovery, component extraction of legacy systems will be
performed using reverse engineering to achieve knowledge
collection and reuse.
In Java legacy systems, different characteristics will affect
the extraction process. In this paper, common development
frameworks used by Java legacy systems are studied, and a
new component extraction method is proposed. First, the
system code is parsed to get concrete implementation
information. Then the framework usage of the system is
analyzed. If the system uses a common development
framework, we will use the method presented in this article for
component extraction. Otherwise, We will use the improved
Bunch clustering algorithm for component extraction [3].
This paper is divided into five parts. The related work is
summarized in the second part. The third part describes the
implementation of the component extraction approach. The
implementation of the tool and the effect evaluation are
intorduced in the fourth part. The fifth part summarizes the
work and puts forward the future research direction.
II. RELATED WORK
Creative computing is an idea proposed by professor
Hongji Yang from the university of leicester in the UK. For a
long time, computers have been playing the role of assisting
other disciplines. Can humans change their thinking and use
the knowledge of other disciplines to solve problems in the
computer field [4]? After continuous exploration, scholars
confirmed the feasibility of conjecture and represented this
emerging field with "creative computing".
Andrew has made a deeper definition of creative computing
and put forward a theoretical framework to help researchers
distinguish creative computing from computational creativity
[5]. He also subdivides creativity into historical creativity,
psychological creativity, exploring creativity and international
creativity. Professor Yang believes that rich knowledge
provides thinking and vitality for creativity, and also improves
the development efficiency of programmers [6]. Researchers
should strive to combine knowledge from different disciplines
to help solve problems that cannot be solved during
development. In [1], the current specific knowledge discovery
approaches are introduced and new knowledge discovery
approaches are developed.
When Rasool studied porting legacy systems to the cloud,
he found that legacy systems contained a lot of reusable value
[2]. The idea of extracting system components through reverse
engineering is popular in the research field. The
implementation level entities in the system are divided into a
collection and the components are expressed in collections
[7,8]. These collections are the archetypes of early clustering.
Rigi analyzed the system and extracted highly cohesive
subsystems from the original system by means of clustering [9].
Sartipi et al. mine the association relationship and using
clustering algorithm to achieve component extraction[10]. By
analyzing the advantages and disadvantages of various
algorithms, a new collaborative approach is proposed to realize
the mutual cooperation among different clusters [11]. A feature
selection technique has been proposed to supervise the
clustering so as to improve the software quality [12].
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