期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

机器学习在软件测试用例集优化生成中的应用 被引量：1

Application of Machine Learning in Optimized Generation of Software Test Suite
下载PDF
导出
摘要 软件测试用例集生成是软件测试中的重要环节。如何优化软件测试用例集,有效提高软件测试用例集的质量,已成为提高软件测试效率的主要手段。机器学习是解决这类问题的有效方法,目前也取得了许多重大的成果。本文对机器学习在软件测试用例集优化生成中的国内外研究现状及存在问题进行了分析,并在此基础上对机器学习与软件测试用例优化结合的发展趋势提出了看法。 Software test suite generation is important in software testing. Improving quality of test suite is a key in software testing. Machine learning is an effective way in solving the problem, and have a lot of results. This paper introduces some current research, methods and problems in machine learning for optimized generation test suites, and provides some opinions.
作者 胡静 赵莹
机构地区 上海电机学院电子信息学院
出处 《上海电机学院学报》 2010年第3期162-166,共5页 Journal of Shanghai Dianji University
基金 上海市教育委员会科研创新项目(09Y2479)
关键词 软件测试用例集 机器学习 遗传算法 流形学习 测试用例优化生成 software test suite machine learning genetic algorithms manifold learning optimized generation of test suite
分类号 TP18 [自动化与计算机技术—控制理论与控制工程] TP311.56 [自动化与计算机技术—计算机软件与理论]
  • 相关文献

参考文献23

  • 1Myer G J, Sandier C, Badgett T, et al. The aft of software testing[M]. 2nd ed. [S. l.]: John Wiley Sons, 2004: 234-240.
  • 2Patton R. Software Testing.[M]. 2nd ed. [S. l.] : SAMS & Education, 2006: 10-14.
  • 3Clarke J, Dolado J J, Haman M, et al. Reformulating software engineering as a search problem[J]. IEE Proceedings Software, 2003,150(3) : 161-175.
  • 4Kuhn D R, Wallace D R, Gallo A M. Software fault interaction and implication for software testing [J]. IEEE Transcations on Software Engineering, 2004,30(6) : 418-421.
  • 5Wegener J. Overview of evolutionary testing [C]// IEEE Seminal Workshop. Toronto, Canada: IEEE, 2001 : 46-54.
  • 6Coher D M, Dalai S R, Fredman M, et al. The AETG system: an approach to testing based on combinatoral design[J].IEEE Transactions on Software Engineering, 1997,23(7): 437-444.
  • 7Coher D M, Dalal S R, Parelius J, et al. The combinatorial design approach to automatic test generation[J]. IEEE software, 1996,13(5): 83-88.
  • 8Cohen D M, Fredman M L. New techniques for designing qualitatively independent system[J]. Journal of combinatorial design, 1998, 6(6): 411-416.
  • 9Tai K C, Lei Y. A test generation strategy for pairwise testing[J]. IEEE Transactions on Software Engineer, 2002,28(1) : 109-111.
  • 10Poole J. A method to determine a basis set of paths to perform program testing[EB/OL]. [2009-12-28]. http://hissa, nist. gov/publications/nistir5737.

二级参考文献24

  • 1奚红宇,徐红,高仲仪.Ada软件测试用例生成工具[J].软件学报,1997,8(4):297-302. 被引量：6
  • 2荚伟,高仲仪.基于遗传算法的软件结构测试数据生成技术研究[J].北京航空航天大学学报,1997,23(1):36-40. 被引量：14
  • 3Sebastian HS, Lee DD. The manifold ways of perception. Science, 2000,290(12):2268-2269.
  • 4Roweis ST, Saul LK. Nonlinear dimensionality analysis by locally linear embedding. Science, 2000,290(12):2323-2326.
  • 5Tenenbaum JB, de Silva V, Langford JC. A global geometric framework for nonlinear dimensionality reduction. Science, 2000,290(12) :2319-2323.
  • 6Donoho DL, Grimes C. When does ISOMAP recover the natural parameterization of families of articulated images? Technical Report, 2002-27, Department of Statistics, Stanford University, 2002.
  • 7Donoho DL, Grimes C. Hessian eigenmaps: New locally linear embedding techniques for high-dimensional data. Proc. of the National Academy of Sciences, 2003,100(10):5591-5596.
  • 8Zhang CS, Wang J, Zhao NY, Zhang D. Reconstruction and analysis of multi-pose face images based on nonlinear dimensionality reduction. Pattern Recognition, 2004,37(1):325-336.
  • 9Polito M, Perona P. Grouping and dimensionality reduction by locally linear embedding. Neural Inform Process Systems, 2001,1255-1262.
  • 10Lee MD. Determining the dimensionality of multidimensional scaling models for cognitive modeling. Journal of Mathematical Psychology, 2001,45(4):149-166.

共引文献93

同被引文献11

引证文献1

二级引证文献2

上海电机学院学报
2010年 第3期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部