DocumentCode
2677725
Title
Teaching and Training for Software Analytics
Author
Zhang, Dongmei ; Dang, Yingnong ; Han, Shi ; Xie, Tao
Author_Institution
Microsoft Res. Asia, Beijing, China
fYear
2012
fDate
17-19 April 2012
Firstpage
92
Lastpage
92
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.
Keywords
computer science education; data analysis; data visualisation; learning (artificial intelligence); program diagnostics; teaching; training; analytic technology; data analysis; data exploration; data-driven task; domain expertise; domain knowledge; information visualization; information-based action taking; large-scale data processing; machine learning; management; software analytics; software practitioners; student training; teaching; Conferences; Educational institutions; Machine learning; Software; Software engineering; Training; Tutorials; software analytics; software engineering education and training; technology transfer;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering Education and Training (CSEE&T), 2012 IEEE 25th Conference on
Conference_Location
Nanjing, Jiangsu
ISSN
1093-0175
Print_ISBN
978-1-4673-1592-0
Type
conf
DOI
10.1109/CSEET.2012.14
Filename
6245015
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