基于神经网络的软件质量评价综述

摘要/Abstract

摘要： 软件质量是贯穿于软件生存周期的一个重要问题,随着软件产业的发展,人们对软件质量的要求也越来越高,因此如何建立准确客观的软件质量评价模型成为软件质量领域研究的重要课题。软件质量评价模型旨在从历史数据中寻找软件各个方面的特征与软件质量之间的关系,而神经网络因其强大的学习能力与非线性映射能力成为建立这种复杂关系的最合适的方法。为了总结现有的相关研究并为以后的研究提供思路,以系统性文献综述的方法调研了自1994年至2018年国内外50篇使用神经网络方法进行软件质量评价的文献,从输入元素、评价目标、建模方法以及神经网络的训练等方面对文献进行了归纳与总结,发现了使用神经网络方法进行软件质量评价的一些规律、未解决的问题以及可能的研究方向。

关键词: 软件质量, 神经网络, 系统性文献综述, 质量评价

Abstract: Software quality is a significant factor throughout the software life cycle.With the rapid development of software industry,users have higher and higher requirements on software quality.Therefore,how to establish a more accurate software quality evaluation model has become an hot topic in the field of software quality research.The software quality evaluation model aims to find the relationship between the characteristics of various aspects of software and software quality from historical data.And neural network becomes one of the most appropriate methods to establish such a complex relationship because of its powerful learning ability and non-linear mapping ability.Using the method of systematic literature review,this paper summarized 50 domestic and foreign literatures on software quality evaluation using neural network method from 1994 to 2018 from the aspects of inputs,evaluation targets,modeling methods and the training of neural network.Some rules,unsolved problems and possible research directions of using neural network method to evaluate software quality were found.

Key words: Neural network, Quality evaluation, Software quality, Systematic literature review

中图分类号:

TP311.5

宗鹏洋, 王轶辰. 基于神经网络的软件质量评价综述[J]. 计算机科学, 2019, 46(11A): 507-516. https://doi.org/

ZONG Peng-yang, WANG Yi-chen. Software Quality Evaluation Based on Neural Network:A Systematic Literature Review[J]. Computer Science, 2019, 46(11A): 507-516. https://doi.org/

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