The prediction of software aging trend based on user intention

Jun Guo, Ying Ju, Yunsheng Wang, Xianli Li, Bin Zhang
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引用次数: 4

Abstract

Owing to the limitation of traditional software aging trend prediction method that based on time and based on measurement in dealing with sudden large scale concurrent questions, this paper proposes a new software aging trend prediction method which is based on user intention. This method predicts the trend of software aging according to the quantity of user requests for each components during the moment of system operation, and the software aging damage with each component is requested once.The experiment indicates, compared with the measurement method, this method has highter accuracy in dealing with sudden large scale concurrent questions.
基于用户意图的软件老化趋势预测
针对传统的基于时间和基于测量的软件老化趋势预测方法在处理突发性大规模并发问题时存在的局限性,本文提出了一种基于用户意图的软件老化趋势预测方法。该方法根据系统运行时刻各部件的用户请求量预测软件老化趋势,每个部件的软件老化损坏请求一次。实验表明,与测量方法相比,该方法在处理突发性大规模并发问题时具有更高的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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