| 基于时序模型的Bug数的分析与预测 |
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| 引用本文： | 王彤,王良.基于时序模型的Bug数的分析与预测[J].现代计算机,2007(12):33-36. |
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| 作者姓名： | 王彤 王良 |
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| 作者单位： | [1]中国传媒大学计算机学院,北京100024 [2]中国人民大学信息学院,北京100872 |
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| 摘 要： | 在大型软件测试中,发现的Bug数是一个随机时间序列,没有固定的数量规律,但可以借助数学模型研究Bug的数量关系.通过对实际的大型软件开发项目中的Bug数的整理和分析,建立了ARMA(p,q)模型,使用该模型可以预测Bug数,并从中发现软件开发过程中存在的质量控制问题.
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| 关 键 词： | Bug预测 ARMA模型 软件测试 |
| 收稿时间： | 2007-09-24 |
| 修稿时间： | 2007-11-16 |
Analysis and Forecasting of Bugs Based on Time Series Model |
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| WANG Tong,WANG Liang.Analysis and Forecasting of Bugs Based on Time Series Model[J].Modem Computer,2007(12):33-36. |
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| Authors: | WANG Tong WANG Liang |
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| Abstract: | The number of bugs which are found in the large-scale software testing are a random time series and have no fixed quantitative rule,but we can study their quantitative relationship by mathematical model. After processing and analysis the bugs came from an actual DBMS, an ARMA(p,q) model was built. By this model,we not only can forecast the number of bugs in the future, but also find the quality control problems in software development. |
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| Keywords: | Bugs Forecast ARMA Model Sofieware Testing |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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