Applying Reverse Engineering Techniques to Analyze Design Patterns in Source Code

Reverse Engineering is the process of analyzing available software artifacts such as requirements, design, architectures, code or byte code, with the objective of extracting information and providing high-level views on the underlying system. A common idea in reverse engineering is to exploit the source code as the most reliable description both of the behavior of a software system and of the organization and its business rules. However, reverse engineering is immersed in a variety of tasks related to comprehending and modifying software such as re-documentation of programs and relational databases, recovering of architectures, recovering of alternative design views, recovering of design patterns, building traceability between code and designs, modernization of interfaces or extracting the source code or high level abstractions from byte code when the source code is not available. Reverse engineering is hardly associated with modernization of legacy systems that were developed many years ago with technology that is now obsolete. These systems include software, hardware, business processes and organizational strategies and politics. Many of them remain in use after more than 20 years; they may be written for technology which is expensive to maintain and which may not be aligned with current organizational politics. Legacy systems resume key knowledge acquired over the life of an organization. Changes are motivated for multiple reasons, for instance the way in which we do business and create value. Important business rules are embedded in the software and may not be documented elsewhere. The way in which the legacy system operates is not explicit (Brodie and Stonebraker, 1995) (Sommerville, 2004).

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JAVASCRIPT ASYNCHRONOUS PROGRAMMING

HUE UNIVERSITY JOURNAL OF SCIENCE TECHNIQUES AND TECHNOLOGY ◽

10.26459/hueuni-jtt.v128i2b.5104 ◽

2019 ◽

Vol 128 (2B) ◽

pp. 5-16

Author(s):

Tran Thanh Luong ◽

Le My Canh

Keyword(s):

Design Patterns ◽

Source Code ◽

Object Oriented ◽

Exception Handling ◽

Code Smells ◽

Asynchronous Programming ◽

Event Driven ◽

Programming Patterns ◽

The Impact

JavaScript has become more and more popular in recent years because its wealthy features as being dynamic, interpreted and object-oriented with first-class functions. Furthermore, JavaScript is designed with event-driven and I/O non-blocking model that boosts the performance of overall application especially in the case of Node.js. To take advantage of these characteristics, many design patterns that implement asynchronous programming for JavaScript were proposed. However, choosing a right pattern and implementing a good asynchronous source code is a challenge and thus easily lead into less robust application and low quality source code. Extended from our previous works on exception handling code smells in JavaScript and exception handling code smells in JavaScript asynchronous programming with promise, this research aims at studying the impact of three JavaScript asynchronous programming patterns on quality of source code and application.

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Detection of Web Design Patterns Using Reverse Engineering

2015 Second International Conference on Advances in Computing and Communication Engineering ◽

10.1109/icacce.2015.100 ◽

2015 ◽

Cited By ~ 1

Author(s):

Jerin Thankappan ◽

Vandana Patil

Keyword(s):

Reverse Engineering ◽

Design Patterns ◽

Web Design

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GERADOR DE CÓDIGOS PARA O DESENVOLVIMENTO DE APLICAÇÕES WEB A PARTIR DA MODELAGEM ENTIDADE-RELACIONAMENTO

e-xacta ◽

10.18674/exacta.v9i1.1663 ◽

2016 ◽

Vol 9 (1) ◽

pp. 37

Author(s):

Cristiano Martins Monteiro ◽

Flavianne Braga Campos de Lima ◽

Carlos Renato Storck

Keyword(s):

Programming Languages ◽

Code Generation ◽

Design Pattern ◽

Design Patterns ◽

Source Code ◽

Automatic Generation ◽

Code Generator ◽

Routine Tasks ◽

Entity Relationship ◽

Web Systems

A geração automática de código-fonte é uma prática adotada no desenvolvimento de softwares para agilizar, facilitar e padronizar a implementação dos projetos. Embora seja uma prática comum nas fábricas de software, não se conhece uma ferramenta que permita escolher o padrão de projeto a ser usado. O objetivo principal deste trabalho é apresentar um gerador de códigos para o desenvolvimento de sistemas Web a partir de uma modelagem entidade-relacionamento, uma linguagem de programação e um padrão de projeto determinados pelo usuário. Os objetivos específicos são propor uma arquitetura do sistema capaz de adequar e reaproveitar diferentes padrões de projeto, linguagens de programação e projetos cadastrados; permitir que o usuário cadastre, altere, exclua, importe e exporte um projeto; e gerar automaticamente o seu código-fonte e scripts de banco de dados. Este trabalho se justifica pela importância de reduzir erros de codificação; e evitar perca tempo ao realizar atividades rotineiras de implementação de padrões de projeto. Possibilitando assim, maior dedicação no planejamento das regras de negócios e redução de custos. A ferramenta proposta (GCER) foi desenvolvida em linguagem Java com o uso banco de dados Oracle 11g, e seguindo os padrões DAO e MVC. Os resultados foram avaliados através da geração e compilação de códigos de um projeto para cadastro de veículos. A geração com êxito evidencia a viabilidade da ferramenta proposta para a geração automática de códigos no processo de desenvolvimento de software.AbstractThe automatic generation of source code is a practice adopted in the development of software to streamline, facilitate and standardize the implementation of projects. Although it be a common practice in software factories, it is not known a tool able to choose the design pattern to be used. The main objective of this paper is to present a code generator for the development of Web systems from an entity-relationship modeling, a programming language and a design pattern determined by the user. The specific objectives are to propose a system architecture able to suit and reuse different design patterns, programming languages and saved projects; allow the user to insert, update, delete, import and export a project; and automatically generate the source code and database scripts. This work is justified by the importance to reduce errors of coding; and to avoid waste of time in the development of Web systems performing routine tasks. Allowing, then, a greater dedication in the planning of business rules and the reduction of costs. The tool proposed (GCER) was developed in Java with the database using Oracle 11g, and following the DAO and MVC patterns. The results were evaluated by generating and compiling codes of a project for vehicle registration. The successful code generation demonstrate the feasibility of the proposed tool for the automatic generation of code in the software development process.

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An approach for reverse engineering of design patterns

Software & Systems Modeling ◽

10.1007/s10270-004-0059-9 ◽

2005 ◽

Vol 4 (1) ◽

pp. 55-70 ◽

Cited By ~ 24

Author(s):

Ilka Philippow ◽

Detlef Streitferdt ◽

Matthias Riebisch ◽

Sebastian Naumann

Keyword(s):

Reverse Engineering ◽

Design Patterns

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Program Mining Augmented with Empirical Properties

Encyclopedia of Data Warehousing and Mining, Second Edition ◽

10.4018/978-1-60566-010-3.ch246 ◽

2011 ◽

pp. 1610-1616

Author(s):

Minh Ngoc Ngo

Keyword(s):

Data Mining ◽

Software Engineering ◽

Reverse Engineering ◽

Source Code ◽

Close Similarity ◽

Legacy Systems ◽

Software Structure ◽

Program Mining ◽

Invariant Properties ◽

To Receive

Due to the need to reengineer and migrating aging software and legacy systems, reverse engineering has started to receive some attention. It has now been established as an area in software engineering to understand the software structure, to recover or extract design and features from programs mainly from source code. The inference of design and feature from codes has close similarity with data mining that extracts and infers information from data. In view of their similarity, reverse engineering from program codes can be called as program mining. Traditionally, the latter has been mainly based on invariant properties and heuristics rules. Recently, empirical properties have been introduced to augment the existing methods. This article summarizes some of the work in this area.

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