我的软件过程改进是否适合增量部署?

软件 Pub Date : 1997-07-14 DOI:10.1109/STEP.1997.615466
L. Krzanik, Jouni Similä
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引用次数: 12

摘要

业界迫切需要软件过程改进的增量交付策略。改进项目需要尽可能早地显示结果,以吸引组织的注意,并使事情集中在过程改进上。增量策略是在软件过程改进中建立提供者重置伙伴关系的基础。很少有指导方针(如果有的话)明确支持这种方法。作者研究了增量软件过程改进部署的一般方法,并研究了一种验证常规软件过程改进模型对增量改进部署的适用性的方法。他们提出了一个框架,包括必要的模型、评估方法和支持工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Is my software process improvement suitable for incremental deployment?
Incremental delivery policies for software process improvement are anxiously required by the industry. Improvement projects need to show results as early as possible to capture the attention of the organization and to keep things focused on process improvement. Incremental policies are the foundation of building a provider-reset partnership in software process improvement. Few guidelines, if any, explicitly support such an approach. The authors examine a general approach to incremental software process improvement deployment, and investigate a method for verifying the suitability of conventional models of software process improvement for incremental improvement deployment. They present a framework including the necessary models, an evaluation method and support tools.
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来源期刊
自引率
0.00%
发文量
11857
期刊介绍: Computer engineering & Software, founded in 1979, is an academic journal of information technology sponsored by China Association for Science and Technology and China Institute of Electronics and Tianjin Institute of Electronics. Computer engineering & Software has columns such as expert Forum, Fund project papers, software and database technology research, application technology and research, network and communication, image processing and application, multimedia technology application Artificial intelligence and recognition. Computer engineering & Software is the source Journal of China Academic Periodical Comprehensive Evaluation Database, the Journal of China Core Periodical (Selection) Database, the source journal of Peking University's Chinese Core Periodical Overview (the first edition in 1992), the Journal of Wanfang data-Digital Periodical Group full-text Collection, the Journal of Chinese Science and Technology Periodical Database (full-text edition), and Wave Journals included in the "Copernicus Index" have been included in the United States "Cambridge Scientific Abstracts", the United States "Uhlig International Journal Guide", the JST Japan Science and Technology Promotion Agency database (2018) and other Chinese and foreign databases.
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