Using In-Process Testing Metrics to Estimate Post-Release Field Quality

The 18th IEEE International Symposium on Software Reliability (ISSRE '07) Pub Date : 2007-11-05 DOI:10.1109/ISSRE.2007.18

Nachiappan Nagappan, L. Williams, M. Vouk, J. Osborne

{"title":"Using In-Process Testing Metrics to Estimate Post-Release Field Quality","authors":"Nachiappan Nagappan, L. Williams, M. Vouk, J. Osborne","doi":"10.1109/ISSRE.2007.18","DOIUrl":null,"url":null,"abstract":"In industrial practice, information on the software field quality of a product is available too late in the software lifecycle to guide affordable corrective action. An important step towards remediation of this problem lies in the ability to provide an early estimation of post-release field quality. This paper evaluates the Software Testing and Reliability Early Warning for Java (STREW-J) metric suite leveraging the software testing effort to predict post-release field quality early in the software development phases. The metric suite is applicable for software products implemented in Java for which an extensive suite of automated unit test cases are incrementally created as development proceeds. We validated the prediction model using the STREW-J metrics via a two-phase case study approach which involved 27 medium-sized open source projects, and five industrial projects. The error in estimation and the sensitivity of the predictions indicate the STREW-J metric suite can be used effectively to predict post-release software field quality.","PeriodicalId":193805,"journal":{"name":"The 18th IEEE International Symposium on Software Reliability (ISSRE '07)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 18th IEEE International Symposium on Software Reliability (ISSRE '07)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSRE.2007.18","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 13

Abstract

In industrial practice, information on the software field quality of a product is available too late in the software lifecycle to guide affordable corrective action. An important step towards remediation of this problem lies in the ability to provide an early estimation of post-release field quality. This paper evaluates the Software Testing and Reliability Early Warning for Java (STREW-J) metric suite leveraging the software testing effort to predict post-release field quality early in the software development phases. The metric suite is applicable for software products implemented in Java for which an extensive suite of automated unit test cases are incrementally created as development proceeds. We validated the prediction model using the STREW-J metrics via a two-phase case study approach which involved 27 medium-sized open source projects, and five industrial projects. The error in estimation and the sensitivity of the predictions indicate the STREW-J metric suite can be used effectively to predict post-release software field quality.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

使用过程中测试度量来评估发布后的领域质量

在工业实践中，关于产品的软件领域质量的信息在软件生命周期中太迟了，无法指导可负担的纠正措施。修复这个问题的一个重要步骤在于能够提供发布后现场质量的早期估计。本文评估了Java的软件测试和可靠性早期预警(STREW-J)度量套件，利用软件测试工作来预测软件开发阶段早期发布后的领域质量。度量套件适用于在Java中实现的软件产品，随着开发的进行，大量的自动化单元测试用例被逐步创建。我们使用STREW-J指标通过两阶段案例研究方法验证了预测模型，该方法涉及27个中型开源项目和5个工业项目。估计误差和预测灵敏度表明STREW-J度量套件可以有效地用于预测发布后软件领域的质量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

The 18th IEEE International Symposium on Software Reliability (ISSRE '07)

自引率

0.00%

发文量