Performance Optimization of Code Testing System Based on Dynamic File Cache

被引：0

作者：

Xu, Jiao-xian ^{[1
]}

Wang, Ya-wen ^{[1
]}

Huang, Jun-fei ^{[1
]}

Gong, Yun-zhan ^{[1
]}

机构：

[1] Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China

来源：

INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND SOFTWARE ENGINEERING (AISE 2014) | 2014年

关键词：

Unit testing; File cache; Dynamic; Performance optimization;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

To reduce the consumption of time when testing a C project using Code Testing System (CTS), this paper puts forward a performance optimization method based on dynamic file cache. Cache Estimation Model, which calculates the size of the file cache, is the core of this optimization method. It makes dissimilar C projects get different cache size, which shows the cache of CTS has the ability to dynamically change its size. Experimental results of four open source C projects show that the optimization method proposed in this paper can effectively improve the time performance of CTS.

引用

页码：88 / 92

页数：5

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