Teaching and training for software analytics

Dongmei Zhang, Yingnong Dang, Shi Han, Tao Xie

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish (US)
Title of host publicationProceedings - 2012 25th IEEE Conference on Software Engineering Education and Training, CSEE and T 2012
Pages92
Number of pages1
DOIs
StatePublished - 2012
Externally publishedYes
Event2012 25th IEEE Conference on Software Engineering Education and Training, CSEE and T 2012 - Nanjing, Jiangsu, China
Duration: Apr 17 2012Apr 19 2012

Publication series

NameProceedings - 2012 25th IEEE Conference on Software Engineering Education and Training, CSEE and T 2012

Other

Other2012 25th IEEE Conference on Software Engineering Education and Training, CSEE and T 2012
Country/TerritoryChina
CityNanjing, Jiangsu
Period4/17/124/19/12

Keywords

  • Software analytics
  • Software engineering education and training
  • Technology transfer

ASJC Scopus subject areas

  • Software
  • Education

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