Toward an Understanding of Contextual Factors in Software Development

提案CCR-9988540 Henninger，Scott R.内布拉斯加大学林肯分校Toward an Understanding of Contextual Factors in Software Development随着软件体系结构、框架、基于组件的软件工程、设计模式和其他软件开发方法的兴起，了解不同软件开发方法和技术最有效的环境变得越来越重要。 本研究将试图提供一个理论框架，以了解不同的软件开发环境的成功和失败之间的调解上下文和基于域的因素。 特别强调的是工具和技术，这些工具和技术允许组织系统地积累和提高组织环境中有效软件开发实践的知识。 基于民族方法论和活动理论的实证观察方法将被开发，以建立和验证理解关键成功和失败因素的科学基础。本研究的结果将被用于1）开发科学探究的方法，这将导致基于领域和上下文分析的软件开发工程学科，2）更好地理解软件开发活动的知识密集型本质，以及如何将过去的经验用作改进的基础，以及3）开发集成现代组件和基于框架的技术的方法，与上下文因素相匹配的应用程序的问题，以特定的技术与最高的成功概率。

Proposal CCR-9988540Henninger, Scott R.University of Nebraska-LincolnToward an Understanding of Contextual Factors in Software DevelopmentWith the rise of software architectures, frameworks, component-basedsoftware engineering, design patterns, and other software development methodologies, it is becoming increasingly important to understandthe context in which different software development methods andtechniques are most effective. This research will seek to providea theoretical framework for understanding the contextual anddomain-based factors that mediate between success and failure fordifferent software development contexts. Particular emphasis willbe placed on tools and techniques that allow organizations tosystematically accumulate and improve knowledge of effective softwaredevelopment practices within an organizational context. Methodsfor empirical observation based on ethnomethodology and activitytheory will be developed to establish and validate a scientificbasis for understanding critical success and failure factors.Results of this research will be used to 1) Develop methods forscientific inquiry that will lead to engineering disciplines forsoftware development based on domain and context analysis, 2) Betterunderstand the knowledge-intensive nature of software developmentactivities and how past experiences can be used as the basis forimprovement, and 3) Development of methodologies that integratemodern, component and framework-based techniques, with contextualfactors that match application problems to specific techniques withthe highest probability of success.