2008 The Eighth International Conference on Quality Software最新文献_第6页

Developing Application Specific Ontology for Program Comprehension by Combining Domain Ontology with Code Ontology 结合领域本体和代码本体开发面向程序理解的应用本体

2008 The Eighth International Conference on Quality Software Pub Date : 2008-08-12 DOI: 10.1109/QSIC.2008.31

Hong Zhou, Feng Chen, Hongji Yang

引用次数: 26

On Partitioning the Domain for Test Case Reusability (Short Paper) 为测试用例可重用性划分域(短文)

2008 The Eighth International Conference on Quality Software Pub Date : 2008-08-12 DOI: 10.1109/QSIC.2008.51

Yunwei Dong, M. Lau, Siemann Lin

引用次数: 2

Visual Software Architecture Description Based on Design Space 基于设计空间的可视化软件体系结构描述

2008 The Eighth International Conference on Quality Software Pub Date : 2008-08-01 DOI: 10.1109/QSIC.2008.59

Qian Zhang

引用次数: 4

Adaptive Random Testing 自适应随机检验

2008 The Eighth International Conference on Quality Software Pub Date : 2004-12-08 DOI: 10.1109/QSIC.2008.22

Tsong Yueh Chen, H. Leung, I. K. Mak

{"title":"Adaptive Random Testing","authors":"Tsong Yueh Chen, H. Leung, I. K. Mak","doi":"10.1109/QSIC.2008.22","DOIUrl":"https://doi.org/10.1109/QSIC.2008.22","url":null,"abstract":"Summary form only given. Random testing is a basic testing technique. Motivated by the observation that neighboring inputs normally exhibit similar failure behavior, the approach of adaptive random testing has recently been proposed to enhance the fault detection capability of random testing. The intuition of adaptive random testing is to evenly spread the randomly generated test cases. Experimental results have shown that adaptive random testing can use as fewer as 50% of test cases required by random testing with replacement to detect the first failure. These results have very significant impact in software testing, because random testing is a basic and popular technique in software testing. In view of such a significant improvement of adaptive random testing over random testing, it is very natural to consider to replace random testing by adaptive random testing. Hence, many works involving random testing may be worthwhile to be reinvestigated using adaptive random testing instead. Obviously, there are different approaches of evenly spreading random test cases. In this tutorial, we are going to present several approaches, and discuss their advantages and disadvantages. Furthermore, the favorable and unfavorable conditions for adaptive random testing would also be discussed. Most existing research on adaptive random testing involves only numeric programs. The recent success of applying adaptive random testing for non-numeric programs would be discussed.","PeriodicalId":6446,"journal":{"name":"2008 The Eighth International Conference on Quality Software","volume":"93 1","pages":"443-443"},"PeriodicalIF":0.0,"publicationDate":"2004-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73851891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 409