scholarly journals Transformation Architecture for Multi-layered WebApp Source Code Generation

IEEE Access ◽  
2022 ◽  
pp. 1-1
Author(s):  
Ricardo Tesoriero ◽  
Alejandro Rueda ◽  
Jose A. Gallud ◽  
Maria D. Lozano ◽  
Anil Fernando
Keyword(s):  
Code Generation ◽  
Source Code

The Design and Implementation of Code Generation Based on J2EE in the Development of JBPM Workflow System

2012 ◽  
Vol 263-266 ◽  
pp. 1961-1968
Author(s):  
Yong Chao Song ◽  
Bu Dan Wu ◽  
Jun Liang Chen
Keyword(s):  
Software Development ◽  
Code Generation ◽  
System Development ◽  
Source Code ◽  
Design And Implementation ◽  
Workflow System ◽  
Development Cycle ◽  
The Cost ◽  
Static Form

According to the feature of the JBPM workflow system development, the target code generated is determined by analyzing the process of JBPM workflow development and the architecture of J2EE. The code generation tool generates code by parsing the static form source code and loading the code generation template. The code generation tool greatly shortens the JBPM workflow system development cycle and reduces the cost of software development which has the good practicality and scalability.

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

e-xacta ◽  
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

<p>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.</p><p>Abstract</p><p>The 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.</p>

Source Code Generation for large scale applications

2013 ◽  
Author(s):  
Havva Cetiner Altiparmak ◽  
Busra Tokgoz ◽  
Okkes Emin Balcicek ◽  
Aslihan Ozkaya ◽  
Ahmet Arslan
Keyword(s):  
Code Generation ◽  
Large Scale ◽  
Source Code

scholarly journals Automatic Acquisition of Annotated Training Corpora for Test-Code Generation

Information ◽  
2019 ◽  
Vol 10 (2) ◽  
pp. 66
Author(s):  
Magdalena Kacmajor ◽  
John Kelleher
Keyword(s):  
Natural Language ◽  
Code Generation ◽  
Source Code ◽  
Generative Models ◽  
Training Data ◽  
Training Dataset ◽  
Unit Testing ◽  
Test Automation ◽  
Parallel Corpora ◽  
Parallel Text

Open software repositories make large amounts of source code publicly available. Potentially, this source code could be used as training data to develop new, machine learning-based programming tools. For many applications, however, raw code scraped from online repositories does not constitute an adequate training dataset. Building on the recent and rapid improvements in machine translation (MT), one possibly very interesting application is code generation from natural language descriptions. One of the bottlenecks in developing these MT-inspired systems is the acquisition of parallel text-code corpora required for training code-generative models. This paper addresses the problem of automatically synthetizing parallel text-code corpora in the software testing domain. Our approach is based on the observation that self-documentation through descriptive method names is widely adopted in test automation, in particular for unit testing. Therefore, we propose synthesizing parallel corpora comprised of parsed test function names serving as code descriptions, aligned with the corresponding function bodies. We present the results of applying one of the state-of-the-art MT methods on such a generated dataset. Our experiments show that a neural MT model trained on our dataset can generate syntactically correct and semantically relevant short Java functions from quasi-natural language descriptions of functionality.

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