基于分类预测的启发式错误定位方法.pdf

Software Engineering and Applications 软件工程与应用, 2016, 5(1), 1-9 Published Online February 2016 in Hans. /journal/sea /10.12677/sea.2016.51001 Heuristic Wrong Positioning Method Based on Classification Forecast Jin Wang, Jie Luo School of Computer and Engineering, Beihang University, Beijing Received: Jan. 27th, 2016; accepted: Feb. 14th, 2016; published: Feb. 17th, 2016 Copyright ? 2016 by authors and Hans Publishers Inc. This work is licensed under the Creative Commons Attribution International License (CC BY). /licenses/by/4.0/ Abstract This paper mainly forecasts the wrong positioning results for the program of the formal error lo- calization algorithm before using it proceed two wrong positioning or multiple wrong positioning by training learn based on machine learn methods. It leads the user to give the high effective feedback information (expected value or the right value information). Thus, it decreases the wrong positioning number, raises the efficiency of the wrong positioning and realizes the heuristic wrong positioning. Keywords Machine Learn Method, Classification Forecast, Heuristic, Wrong Positioning 基于分类预测的启发式错误定位方法 王 瑾，罗 杰 北京航空航天大学计算机学院，北京 收稿日期：2016年1月27日；录用日期：2016年2月14日；发布日期：2016年2月17日 摘 要 本文利用机器学习的方法通过训练学习，对通过形式化的错误定位算法进行错误定位的程序在二次定位 文章引用: 王瑾, 罗杰. 基于分类预测的启发式错误定位方法[J]. 软件工程与应用, 2016, 5(1): 1-9. /10.12677/sea.2016.51001 王瑾，罗杰