作为学习的建议:从差异到软件改进

2012 Third International Workshop on Recommendation Systems for Software Engineering (RSSE) Pub Date : 2012-06-04 DOI:10.1109/RSSE.2012.6233405

K. Schneider, Stefan Gärtner, Tristan Wehrmaker, B. Brügge

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引用次数: 4

摘要

成功的软件开发需要软件工程技能以及领域和用户知识。这种知识很难掌握。日益增加的复杂性和快速发展的技术导致了开发和系统行为的缺陷。它们会导致期望和观察之间的差异。我们建议使用差异作为向开发人员提出建议的触发器。使用软件应用程序的差异与开发工件之间的差异相结合。为了有效地支持软件工程师，建议必须考虑差异和解决方案的知识库。它们随着时间的推移随着经验的进化而进化。因此，建议和组织学习是交织在一起的。

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Recommendations as learning: From discrepancies to software improvement

Successful software development requires software engineering skills as well as domain and user knowledge. This knowledge is difficult to master. Increasing complexity and fast evolving technologies cause deficits in development and system behavior. They cause discrepancies between expectations and observations. We propose using discrepancies as a trigger for recommendations to developers. Discrepancies in using a software application are combined with discrepancies between development artifacts. To efficiently support software engineers, recommendations must consider knowledge bases of discrepancies and resolution options. They evolve over time along with evolving experience. Hence, recommendations and organizational learning are intertwined.

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2012 Third International Workshop on Recommendation Systems for Software Engineering (RSSE)

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