软件工程过程改进的统一框架——分类比较分析

Aedah Abd Rahman, S. Sahibuddin, S. Ibrahim
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引用次数: 6

摘要

软件工程过程改进框架的并行采用已经被软件组织广泛实践。软件开发组织利用这些框架来更好地处理过程改进的挑战。本文开发了一个软件工程过程改进实践的集成框架,并统一了过程定义和过程建立方面的理论。统一框架为软件工程过程改进框架提供了一套形式化的描述。研究了软件工程过程改进框架的需求和体系结构。集成中的主要挑战是框架的互操作性。不准确的集成方法导致了集成过程的低效率。讨论了当前流程模型和方法集成中的常见互操作性问题。除此之外,还可以确定和进一步审查遗漏、差异和差距,以便制定新的统一框架。软件工程过程框架分类法用于支持对不同软件质量框架的理解和比较。分类法应该基于特定学科的框架。此外,还提出了比较软件工程过程改进框架的其他替代方法。研究结果有望确定框架之间的结构关系。分类法的派生包括针对特定于学科的框架定制的属性的特征和类别。
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A unified framework for software engineering process improvement — A taxonomy comparative analysis
Concurrent adoption of software engineering process improvement frameworks have been widely practiced by the software organizations. The software development organizations leverage these frameworks to better address process improvement challenges. This paper develops an integrated framework for software engineering process improvement practices and unifies the theories in process definition and establishment. The unified framework provides a set of formal descriptions for software engineering process improvement frameworks. Requirements and architectures for software engineering process improvement frameworks are investigated. The main challenge in the integration is the interoperability of the frameworks. Inaccurate integration approach results in inefficiency of the integration process. Common interoperability issues in the integration of current process models and methodologies are addressed. In addition to this, omissions, differences and gaps can be identified and further examined for development of new unified framework. Taxonomy for software engineering process framework is used to support the understanding and comparison of diverse software quality frameworks. The taxonomy should be based on discipline-specific framework. Besides, other alternative approaches for comparing the software engineering process improvement framework are presented. The research outcome is expected to identify the structural relationships among the frameworks. Derivation from the taxonomy includes characteristics and categories of attributes tailored to the discipline-specific framework.
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