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CMM-Based Process Improvement and Schedule Deviation in Software Maintenance

机译:软件维护中基于CMM的流程改进和进度偏差

摘要

The objective of this study is to evaluate the predictive validity of the Capability Maturity Model (CMM) for Software (SW-CMM) as applied to software maintenance.The SW-CMM is intended to apply to both software development and maintenance. A basic premise (hypothesis) of the SW-CMM is that improving process maturity will result in better project performance and product quality. The extent to which that hypothesis is supported empirically is called a test of its predictive validity. No previous evaluation exists of the predictive validity of the SW-CMM in a maintenance context.The extent to which schedule estimates differ from reality is one important measure of project performance. But is higher maturity in fact correlated with a reduction in schedule deviation? Data from 752 maintenance projects drawn from 441 SW-CMM assessments are analyzed using a zero inflated Poisson (ZIP) regression model, and the results are validated using a bootstrap estimation method. Projects from higher maturity organizations typically report less schedule deviation than those from organizations assessed at lower maturity levels.
机译:这项研究的目的是评估用于软件维护的软件能力成熟度模型(SW-CMM)的预测有效性。SW-CMM旨在应用于软件开发和维护。 SW-CMM的一个基本前提(假设)是,改进过程成熟度将导致更好的项目性能和产品质量。凭经验支持该假设的程度称为对其预测有效性的检验。以前没有评估SW-CMM在维护环境中的预测有效性。进度估算与实际情况的差异程度是衡量项目绩效的重要指标。但是,实际上,较高的成熟度与时间表偏差的减少相关吗?使用零膨胀泊松(ZIP)回归模型分析来自441个SW-CMM评估的752个维护项目的数据,并使用自举估计方法对结果进行验证。与来自成熟度较低的组织相比,来自成熟度较高的组织的项目通常报告的进度偏差较小。

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