Retrieval and Modelling of Software Evolution Process Component

2012 ◽  
Vol 241-244 ◽  
pp. 2867-2871
Author(s):  
Jing Lei Li
Keyword(s):  
Software Evolution ◽  
Evolution Process ◽  
Software Systems ◽  
Legacy Systems ◽  
Formal Definition ◽  
Component Retrieval ◽  
Matching Algorithm ◽  
Faceted Classification ◽  
Process Component

As more and more successful software systems become legacy systems,the importance and popularity of software evolution increase[1]. In order to make the mature software systems as components, so that they can be re-assembled and maintenance as automobile parts. In this context, the software evolution process component formal definition is designed based on this background. And then define the component model. Based on the questions in component retrieval, faceted classification of the Components and the theory of tree matching algorithm is discussed and analyzed. The Retrieval of Software Evolution Process Component is designed with the theory of tree matching algorithm so as to support the software evolution process modelling.

AUTOMATING SOFTWARE EVOLUTION

1995 ◽  
Vol 05 (01) ◽  
pp. 73-87 ◽  
Author(s):  
ZHENG-YANG LIU
Keyword(s):  
Software Evolution ◽  
Software Systems ◽  
Legacy Systems ◽  
Knowledge Based ◽  
Business Software ◽  
Conversion System ◽  
Knowledge Intensive ◽  
And Function ◽  
Pragmatic Knowledge

This paper presents a pragmatic knowledge-based approach to evolving and reengineering legacy business software systems. We describe a CASE tool for assisting legacy system evolution by automating the tedious and knowledge-intensive conversion process and show how we developed and maintained the tool and how it is used with payoff. This work demonstrates that timely technology upgrades of legacy systems are only possible with carefully engineered knowledge-based tools. Viewing software as an artifact with structure, behavior, and function, we can represent most program conversion knowledge explicitly for function-preserving transformation in an automated conversion system. The payoff for using the knowledge-based approach to software evolution is not only in terms of valuable resources saved, but also in terms of improved quality of the upgraded software systems.

scholarly journals Analysis of Legacy System in Software Application Development: A Comparative Survey

2016 ◽  
Vol 6 (1) ◽  
pp. 292
Author(s):  
M. Srinivas ◽  
G. Ramakrishna ◽  
K. Rajasekhara Rao ◽  
E. Suresh Babu
Keyword(s):  
Information And Communication Technologies ◽  
Business Processes ◽  
Software Evolution ◽  
Business Environment ◽  
Software Systems ◽  
Legacy Systems ◽  
Application Development ◽  
Global Business ◽  
Legacy System ◽  
Legacy Applications

<p class="PreformattedText">Software evolution is one of the challenging issues in today’s business environment. It is necessary for the organizations, which make use of Information, and Communication Technologies will have to align their business processes to compete with global business. The existing large software systems (“legacy” systems) have never been built to cope with the current business requirement for their poor coding, design structures, logic and documentation. Moreover, Legacy applications have various problems such as lack of up to-date documentation, skilled man power, resources of the Legacy applications, and high maintenance costs. Even though the Legacy system is obsolete, it contains detailed business rules and in continuous use, because it satisfies the users' needs and forms the backbone of the information flow of organization. One of the possible solutions is to refactor or modernize those systems into a new platform. It is necessary to analyse the existing legacy system for better understanding the business logic and its functionalities. This paper analyses various techniques proposed for understanding Legacy systems in existence.</p>

scholarly journals A Component Retrieval Tree Matching Algorithm Based on a Faceted Classification Scheme

2015 ◽  
Vol 15 (1) ◽  
pp. 14-23
Author(s):  
Yao Wang ◽  
Bo Wang ◽  
Minghan Liu
Keyword(s):  
Software Reuse ◽  
Classification Scheme ◽  
Component Retrieval ◽  
Retrieval Method ◽  
Matching Algorithm ◽  
Query Matching ◽  
Retrieval Efficiency ◽  
Efficient Scheme ◽  
Faceted Classification ◽  
The Cost

Abstract An efficient scheme of component retrieval can significantly reduce the cost of software reuse. For this purpose, a method of successfully retrieving of specified components from the component repository is a crucial consideration. However, neither the retrieval efficiency, nor the query-matching rate of the traditional method, which is based on a faceted classification scheme, satisfies the requirements of component retrieval. In this paper a novel component retrieval method combining the features of the faceted classification scheme and the theory of tree matching is proposed. This method not only accurately retrieves components that match queries, but also considers any incomplete descriptions of the retrieval component to completely ensure the relaxation ability of the component retrieval. The experimental results show that the retrieval matching method proposed is highly efficient, and it retrieves feasibly and efficiently the components.

Analysis of Legacy System in Software Application Development: A Comparative Survey

2016 ◽  
Vol 6 (1) ◽  
pp. 292 ◽  
Author(s):  
M. Srinivas ◽  
G. Ramakrishna ◽  
K. Rajasekhara Rao ◽  
E. Suresh Babu
Keyword(s):  
Information And Communication Technologies ◽  
Business Processes ◽  
Software Evolution ◽  
Business Environment ◽  
Software Systems ◽  
Legacy Systems ◽  
Application Development ◽  
Global Business ◽  
Legacy System ◽  
Legacy Applications

<p class="PreformattedText">Software evolution is one of the challenging issues in today’s business environment. It is necessary for the organizations, which make use of Information, and Communication Technologies will have to align their business processes to compete with global business. The existing large software systems (“legacy” systems) have never been built to cope with the current business requirement for their poor coding, design structures, logic and documentation. Moreover, Legacy applications have various problems such as lack of up to-date documentation, skilled man power, resources of the Legacy applications, and high maintenance costs. Even though the Legacy system is obsolete, it contains detailed business rules and in continuous use, because it satisfies the users' needs and forms the backbone of the information flow of organization. One of the possible solutions is to refactor or modernize those systems into a new platform. It is necessary to analyse the existing legacy system for better understanding the business logic and its functionalities. This paper analyses various techniques proposed for understanding Legacy systems in existence.</p>

scholarly journals FORMAL METHODS TO AID THE EVOLUTION OF SOFTWARE

1995 ◽  
Vol 05 (01) ◽  
pp. 25-47 ◽  
Author(s):  
M. P. WARD ◽  
K. H. BENNETT
Keyword(s):  
Software Development ◽  
Reverse Engineering ◽  
Formal Methods ◽  
Software Evolution ◽  
Formal Method ◽  
Wide Spectrum ◽  
Software Systems ◽  
Legacy Systems ◽  
Program Transformations ◽  
Industrial Software

There is a vast collection of operational software systems which are vitally important to their users, yet are becoming increasingly difficult to maintain, enhance, and keep up to date with rapidly changing requirements. For many of these so-called legacy systems, the option of throwing the system away and rewriting it from scratch is not economically viable. Methods are therefore urgently required which enable these systems to evolve in a controlled manner. The approach described in this paper uses formal proven program transformations, which preserve or refine the semantics of a program while changing its form. These transformations are applied to restructure and simplify the legacy systems and to extract higher-level representations. By using an appropriate sequence of transformations, the extracted representation is guaranteed to be equivalent to the code. The method is based on a formal wide spectrum language, called WSL, with an accompanying formal method. Over the last ten years we have developed a large catalog of proven transformations, together with mechanically verifiable applicability conditions. These have been applied to many software development, reverse engineering, and maintenance problems. In this paper, we focus on the results of using this approach in the reverse engineering of medium scale, industrial software, written mostly in languages such as assembler and JOVIAL. Results from both benchmark algorithms and heavily modified, geriatric software are summarized. We conclude that formal methods have an important practical role in software evolution.

scholarly journals Internal Quality Evolution of Open-Source Software Systems

2021 ◽  
Vol 11 (12) ◽  
pp. 5690
Author(s):  
Mamdouh Alenezi
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Software Evolution ◽  
Quality Metrics ◽  
Internal Quality ◽  
Software Systems ◽  
Software Metric ◽  
Significant Difference ◽  
The Relationship

The evolution of software is necessary for the success of software systems. Studying the evolution of software and understanding it is a vocal topic of study in software engineering. One of the primary concepts of software evolution is that the internal quality of a software system declines when it evolves. In this paper, the method of evolution of the internal quality of object-oriented open-source software systems has been examined by applying a software metric approach. More specifically, we analyze how software systems evolve over versions regarding size and the relationship between size and different internal quality metrics. The results and observations of this research include: (i) there is a significant difference between different systems concerning the LOC variable (ii) there is a significant correlation between all pairwise comparisons of internal quality metrics, and (iii) the effect of complexity and inheritance on the LOC was positive and significant, while the effect of Coupling and Cohesion was not significant.

NEURO-FUZZY BASED SEARCH ROBOT FOR SOFTWARE COMPONENTS

1999 ◽  
Vol 08 (02) ◽  
pp. 119-135
Author(s):  
YAU-HWANG KUO ◽  
JANG-PONG HSU ◽  
MONG-FONG HORNG
Keyword(s):  
Retrieval System ◽  
Software Component ◽  
Software Components ◽  
Personalized Search ◽  
Component Retrieval ◽  
Reusable Software ◽  
Major Mechanism ◽  
Fuzzy Models ◽  
Neuro Fuzzy

A personalized search robot is developed as one major mechanism of a personalized software component retrieval system. This search robot automatically finds out the Web servers providing reusable software components, extracts needed software components from servers, classifies the extracted components, and finally establishes their indexing information for local component retrieval in the future. For adaptively tuning the performance of software component extraction and classification, an adaptive thesaurus and an adaptive classifier, realized by neuro-fuzzy models, are embedded in this search robot, and their learning algorithms are also developed. A prototype of the personalized software component retrieval system including the search robot has been implemented to confirm its validity and evaluate the performance. Furthermore, the framework of proposed personalized search robot could be extended to the search and classification of other kinds of Internet documents.

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