Studying Aging-Related Bug Prediction Using Cross-Project Models

Fangyun Qin; Zheng Zheng; Yu Qiao; Kishor S. Trivedi

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Studying Aging-Related Bug Prediction Using Cross-Project Models

机译：使用跨项目模型研究与衰老相关的错误预测

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In long running systems, software tends to encounter performance degradation and increasing failure rate during execution. This phenomenon has been named software aging, which is caused by aging-related bugs (ARBs). Testing resource allocation can be opti

机译：在长时间运行的系统中，软件往往会在执行期间遇到性能下降和故障率增加的问题。这种现象被称为软件老化，它是由与老化有关的错误（ARB）引起的。测试资源分配可以优化

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来源
《IEEE Transactions on Reliability》 |2019年第3期|1134-1153|共20页
作者
Fangyun Qin; Zheng Zheng; Yu Qiao; Kishor S. Trivedi;
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作者单位

School of Automation Science and Electrical Engineering Beihang University Beijing China;

School of Automation Science and Electrical Engineering Beihang Univer;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类
关键词
Computer bugs; Software; Testing; Training; Training data; Aging; Machine learning;

机译：计算机错误;软件;测试;训练;培训数据;老化;机器学习;

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1. An empirical study of factors affecting cross-project aging-related bug prediction with TLAP [J] . Qin Fangyun, Wan Xiaohui, Yin Beibei Software Quality Journal . 2020,第1期

机译：影响跨项目老化相关虫预测的因素的实证研究
2. Global vs. local models for cross-project defect prediction A replication study [J] . Herbold Steffen, Trautsch Alexander, Grabowski Jens Empirical Software Engineering . 2017,第4期

机译：跨项目缺陷预测的全局模型与局部模型的复制研究
3. Studying just-in-time defect prediction using cross-project models [J] . Kamei Yasutaka, Fukushima Takafumi, McIntosh Shane, Empirical Software Engineering . 2016,第5期

机译：使用跨项目模型研究即时缺陷预测
4. Cross-Project Aging-Related Bug Prediction Based on Joint Distribution Adaptation and Improved Subclass Discriminant Analysis [C] . Bin Xu, Dongdong Zhao, Kai Jia, IEEE International Symposium on Software Reliability Engineering . 2020

机译：基于联合分布自适应和改进子类判别分析的跨项目老化相关错误预测
5. Understanding the Impact of Diversity in Software Bugs on Bug Prediction Models. [D] . Valdivia-Garcia, Harold. 2016

机译：了解软件错误中的多样性对错误预测模型的影响。
6. Prediction of insect pest distribution as influenced by elevation: Combining field observations and temperature-dependent development models for the coffee stink bug, Antestiopsis thunbergii (Gmelin) [O] . Abdelmutalab G. A. Azrag, Christian W. W. Pirk, Abdullahi A. Yusuf, 2012

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7. Watch out for Extrinsic Bugs! A Case Study of their Impact in Just-In-Time Bug Prediction Models on the OpenStack project [O] . Gema Rodriguezperez, Meiyappan Nagappan, Gregorio Robles 2020

机译：注意外在的错误！案例研究OpenStack项目在即时错误预测模型中的影响
8. Bayesian Software Prediction Models. Volume II. Classical and Bayesian Inference for the Software Imperfect Debugging Model. [R] . Okumoto, K., Goel, A. L. 1978

机译：贝叶斯软件预测模型。第二卷。软件不完善调试模型的经典推理和贝叶斯推理。

Studying Aging-Related Bug Prediction Using Cross-Project Models

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