智能Java分析器

2008 Electronics, Robotics and Automotive Mechanics Conference (CERMA '08) Pub Date : 2008-09-30 DOI:10.1109/CERMA.2008.51

M. Aguero, G. Esperón, F. Madou, D. L. de Luise

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引用次数: 4

摘要

本文提出了一个软件度量工作原型来评估Java程序员的个人资料。为了自动检测源代码模式，采用了多层感知器神经网络。从这些模式中确定的特性构成了系统和程序员分析的基础。本文给出的结果表明，所提出的原型在软件质量保证过程中是一种可靠的支持方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Intelligent Java Analyzer

This paper presents a software metric working prototype to evaluate Java programmer's profiles. In order to automatically detect source code patterns, a Multi Layer Perceptron neural network is applied. Features determined from such patterns constitute the basis for systempsilas programmer profiling. Results presented here show that the proposed prototype is a confident approach for support in the software quality assurance process.

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2008 Electronics, Robotics and Automotive Mechanics Conference (CERMA '08)

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