Heuristic Wrong Positioning Method Based on Classification Forecast
Abstract: This paper mainly forecasts the wrong positioning results for the program of the formal error localization 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.
文章引用: 王 瑾 , 罗 杰 (2016) 基于分类预测的启发式错误定位方法。 软件工程与应用， 5， 1-9. doi: 10.12677/SEA.2016.51001
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