做SQA程序工作- CMM工作。meta分析

Daniel Galin, Motti Avrahami
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引用次数: 11

摘要

许多软件开发专业人员和软件开发组织的管理人员并不完全相信投资于SQA系统的进步所带来的收益。我们发现的每篇文章中包含的结果不能得出关于升级SQA系统的投资影响的一般结论。我们的meta分析基于对现有出版物的CMM水平转换(CMMLT)分析,并针对七个最常见的性能指标。CMMLT分析适用于多源经验数据的综合分析。我们的元分析数据库中的每条记录都是以“前后比”计算的,这几乎不受研究组织特征的影响。因为CMM指南和SQA需求是相似的,我们声称CMM程序的结果也适用于SQA系统的投资。来自19个信息源的1800多个项目的广泛数据库导致了元分析结果——证明了对CMM程序和类似的SQA系统的投资有助于软件开发性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Do SQA programs work - CMM works. a meta analysis
Many software development professionals and managers of software development organizations are not fully convinced in the profitability of investments for the advancement of SQA systems. The results included in each of the articles we found, cannot lead to general conclusions on the impact of investments in upgrading an SQA system. Our meta analysis was based on CMM level transition (CMMLT) analysis of available publications and was for the seven most common performance metric. The CMMLT analysis is applicable for combined analysis of empirical data from many sources. Each record in our meta analysis database is calculated as "after-before ratio", which is nearly free of the studied organization's characteristics. Because the CMM guidelines and SQA requirement are similar, we claim that the results for CMM programs are also applicable to investments in SQA systems. The extensive database of over 1,800 projects from a variety of 19 information sources leading to the meta analysis results - proved that investments in CMM programs and similarly in SQA systems contribute to software development performance.
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