【24h】

Role of Evolutionary algorithms in Software Reliability Optimization

机译:进化算法在软件可靠性优化中的作用

获取原文
获取原文并翻译 | 示例

摘要

Software Reliability is an important feature of software quality, like other quality attribute as functionality, usability, performance, serviceability, maintainability, documentation etc. This Software reliability optimization is very important in software development field. Lots of software reliability models have been specified in last few years. This paper reviews the different Evolutionary algorithms for reliability optimization to solve challenging problems in the field of academia and industry. There are many algorithms which have been already used for optimization of software reliability model like Genetic, Ant colony optimization, Bee colony optimization, Bacterial Foraging Optimization; Particle swam optimization, BAT, CAT and hybrid. But still there are so many evolutionary algorithms which are still unused. In this paper we explore the role of some of the well known evolutionary techniques for optimizing software reliability.
机译:软件可靠性是软件质量的重要特征,例如功能,可用性,性能,可维护性,可维护性,文档编制等其他质量属性。这种软件可靠性优化在软件开发领域中非常重要。最近几年已经指定了许多软件可靠性模型。本文回顾了用于可靠性优化的各种进化算法,以解决学术界和工业领域的挑战性问题。已经有很多算法用于软件可靠性模型的优化,例如遗传,蚁群优化,蜂群优化,细菌觅食优化。粒子游动优化,BAT,CAT和混合。但是仍然有很多进化算法尚未使用。在本文中,我们探索了一些众所周知的进化技术对优化软件可靠性的作用。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号