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PRODID:https://github.com/derhansen/sf_event_mgt
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UID:285-409@gi.de
CLASS: PUBLIC
SUMMARY:Automated Visual Software Analytics (Onlinekurs)
DESCRIPTION:In this Massive Open Online Course (MOOC), we explore concepts 
 and techniques of advanced analytics for ecosystems around software systems
  and software development processes. Big data and big data analytics are to
  become key sources of innovation in industry and society – in this course 
 we discuss, how advanced analytics in the scope of software can be applied 
 to boost effectiveness of software development within their corresponding e
 cosystems. With "software analytics" we refer to recently innovated techniq
 ues from software analysis, software mining, software visualization, visual
  analytics, and predictive analytics that all aim at giving insights into i
 nformation about complex software systems, their correlated development pro
 cesses, and their evolution. To this end, all common, traditionally separat
 ed information sources in these ecosystems can be gathered, related, and in
 tegrated. The ultimate goals include to provide not only software engineers
  but also all other stakeholders (e.g. IT consultants, IT managers) better 
 instruments to monitor, comprehend, discuss, and steer software development
  activities such as for vendor benchmarking, team benchmarking, and handlin
 g technical debts. In particular, we investigate "software maps" as general
 -purpose, powerful visual analytics instruments.
LOCATION:Onlinekurs
DTSTAMP:20180503T070809Z
DTSTART:20180917T070000Z
DTEND:20181029T190000Z
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