软件分析的教学和培训

D. Zhang, Yingnong Dang, Shi Han, Tao Xie
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引用次数: 3

摘要

软件分析是为了使软件从业者能够执行数据探索和分析,以便为围绕软件和服务的数据驱动任务获得有洞察力和可操作的信息。当在软件分析实践中应用分析技术时,人们应该结合(1)广泛的领域知识和专业知识,例如管理,机器学习,大规模数据处理和计算以及信息可视化;(2)调查从业者如何对产生的信息采取行动,并为这种基于信息的行动提供有效的支持。本教程指导材料为参与者提供进行软件分析的技能和知识,以及在大学或工业环境中进行软件分析的教学和培训学生和实践者。
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Teaching and Training for Software Analytics
Software analytics is to enable software practitioners to perform data exploration and analysis in order to obtain insightful and actionable information for data-driven tasks around software and services. When applying analytic technologies in practice of software analytics, one should incorporate (1) a broad spectrum of domain knowledge and expertise, e.g., management, machine learning, large-scale data processing and computing, and information visualization; and (2) investigate how practitioners take actions on the produced information, and provide effective support for such information-based action taking. This tutorial instructs materials to equip participants with skills and knowledge of conducting software analytics along with teaching and training students and practitioners for software analytics in university or industrial settings.
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