期刊文献+

基于模型的移动应用功能场景自动标注方法

Model-based automatic function scenario labeling method for mobile application
下载PDF
导出
摘要 对于程序功能场景的识别一直是程序理解方面的难点之一,现有的方法主要还是依靠人工标注。针对该难点,对移动应用的执行过程进行研究,提出一种基于模型的功能场景自动化标注方法AFSLM。基于交互流建模语言IFML国际标准构造刻画移动应用执行特征的应用执行路径ARP动态模型,用于直接对应移动应用的测试脚本,设计用于度量功能场景相似度的模型匹配算法,提出基于模型的功能场景自动化标注方法AFSLM,实现将人工测试模型的功能场景标签泛化到自动化工具探索模型上,实现高效的功能场景自动化标注。通过实例研究和实验评估,展示方法的有效性。 The recognition of program function scenes is always one of the difficulties in program understanding.The existing methods mainly rely on manual labeling.In view of this difficulty,the implementation process of mobile applications was stu-died,and a model-based automatic labeling method for functional scenes,AFSLM,was proposed.Based on the IFML international standard,an ARP dynamic model was constructed to describe the execution characteristics of mobile applications,which was used to directly correspond to the test scripts of mobile applications,and a model matching algorithm was designed to mea-sure the similarity of function scenarios.AFSLM was proposed to generalize the function scenario labels of manual test models to the automatic tool exploration model,efficient automatic labeling of functional scenarios was realized.A case study and the experimental evaluation were carried out to illustrate the effectiveness of the method.
作者 郑晓梅 钱正轩 李刚 王天舒 ZHENG Xiao-mei;QIAN Zheng-xuan;LI Gang;WANG Tian-shu(School of Artificial Intelligence and Information Technology,Nanjing University of Chinese Medicine,Nanjing 210023,China;Department of Computer Science and Technology,Nanjing University,Nanjing 210023,China;State Key Laboratory for Novel Software Technology,Nanjing University,Nanjing 210023,China)
出处 《计算机工程与设计》 北大核心 2023年第10期3039-3046,共8页 Computer Engineering and Design
基金 国家自然科学基金项目(61472180) 江苏省社会科学基金项目(21TQB001) 江苏省科技计划项目青年基金项目(BK20210696) 未来网络科研基金项目(FNSRFP-2021-ZD-24)。
关键词 功能场景 人工标注 自动化标注方法 交互流建模语言 应用执行路径 相似度 泛化 function scenes manual labeling automatic labeling method IFML ARP similarity generalize
  • 相关文献

参考文献2

二级参考文献24

  • 1Zhang K, Statman R, Shasha D. On the editing dis-tance between unordered labeled trees[J]. Information Processing Letters. 1992, 42(3) : 133-139.
  • 2Nierman A, Jagadish H V. Evaluating Structural Simi- larity in XML Documents[DB/OL]. 2002, citeseerx. ist. psu. edu,61-66.
  • 3Nayak R. Investigating Semantic Measures in XML Clustering[C]//Proceedings of IEEE/WIC/ACM In- ternational Conference on Web Intelligence, 2006: 1042-1045.
  • 4Joshi S, Agrawal N, Krishnapuram R, et al. A bag of paths model for measuring structural similarity in Web documents[C]//Proceedings of Knowledge Discovery and Data Mining. Washington, D. C. , ACM Press, 2003: 577-582.
  • 5Nayak R, Iryadi W. XML schema clustering with se- mantic and hierarchical similarity measures [J].Knowledge-Based Systems. 2007, 20(4) : 336-349.
  • 6赵嫣,马军,李森.一种计算结构化文档相关度的方法[c]//第二届中国分类技术及应用学术会议.郑州:20070527.350-355.
  • 7Jeong B, Lee D, Cho H, et al. A novel method for measuring semantic similarity for XML schema match- ing[J].Expert Systems with Applications. 2008, 34(3) : 1651-1658.
  • 8Levenshtein V. Binary codes capable of correcting de letions, insertions, and reversals[J]. Soviet Physics Doklady. 1966, 10(8): 707-710.
  • 9Princeton University. WordNet[DB/OL]. 2011, ht- tp ://wordnet. princeton, edu/.
  • 10Ling Song, Jun Ma, Jingsheng Lei, et al. A Fuzzy Approach for Measuring the Semantic Similarity Be- tween words in WordNet[J]. Journal of Information Computational Science,2009,6(3) : 1673-1680.

共引文献3

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