Automated Visual Software Analytics

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openHPI online courses
Keeping pace with the rapidly developing world of information technology is a need that Hasso Plattner Institute (HPI) helps to fill with openhpi.de. openHPI works according to the principle of “Massive Open Online Courses” (MOOC): * openHPI courses match the high-quality curriculum at HPI, Germany’s highest ranked computer science institute. On the basis of instructional videos, interactive self-tests and practical exercises, participants receive in-depth knowledge on multi-faceted to...
Keeping pace with the rapidly developing world of information technology is a need that Hasso Plattner Institute (HPI) helps to fill with openhpi.de. openHPI works according to the principle of “Massive Open Online Courses” (MOOC): * openHPI courses match the high-quality curriculum at HPI, Germany’s highest ranked computer science institute. On the basis of instructional videos, interactive self-tests and practical exercises, participants receive in-depth knowledge on multi-faceted topics in IT technology. * openHPI courses are conducted entirely online. All material can be accessed from any device that is Internet-accessible, whether desktop, laptop, Smartphone or tablet. * openHPI courses are open: that means participation is free and there are no prerequisites of any kind. * openHPI courses enable individual participants to join in a virtual learning community with other participants. Lively discussion forums and virtual learning groups encourage a stimulating exchange of questions and a collaborative learning of the subject. * openHPI courses are targeted at different audiences. Part of our courses address a general audience and introduce the foundations of information technology, e.g., the design and structure of the Internet and the World Wide Web, the structure and operation of database systems or security in information technology. Other courses are geared towards ICT professionals who wish to keep up with the very latest innovations in computer science research, e.g., In-Memory Data Management, the Semantic Web, or Multicore and Cloud Computing. Courses are conducted in German and English.

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Course Description

In this 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 ecosystems. With "software analytics" we refer to recently innovated techniques from software analysis, software mining, software visualization, visual analytics, and predictive analytics that all aim at giving insights into information about complex software systems, their correlated development processes, and their evolution. To this end, all common, traditionally separated information sources in these ecosystems can be gathered, related, and integrated. The ultimate goals include to provide not only software engineers but also all... In this 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 ecosystems. With "software analytics" we refer to recently innovated techniques from software analysis, software mining, software visualization, visual analytics, and predictive analytics that all aim at giving insights into information about complex software systems, their correlated development processes, and their evolution. To this end, all common, traditionally separated information sources in these ecosystems can be gathered, related, and integrated. 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 handling technical debts. In particular, we investigate "software maps" as general-purpose, powerful visual analytics instruments.
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