IEEE Workshop on Risk Management of OSS Components and Communities, July 21-25, Sweden

Jul 21 2014

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RISCOSS will support the organization of the 1st IEEE International Workshop on Risk Management of OSS Components and Communities (WRMOCC), at COMPSAC 2014, the 38th Annual International Computers, Software & Applications Conference

COMPSAC

The registration to COMPSAC 2014 is now open. http://www.computer.org/portal/web/COMPSAC

There will be a significant RISCOSS presence with a number of papers on what we have done, including a presentation by Nikolas Galanis on “Building a Community: The Moodbile Perspective” , a presentation by Oscar on “Expert mining for evaluating risk indicators scenarios” and Ron Kenett presentation in the main conference on “Adoption of Free Libre Open Source Software (FLOSS): A Risk Management Perspective”

The conference is promising to be one of the biggest COMPSAC conferences and there were over 300 submissions to the main conference.

WRMOCC

Within COMPSAC, RISCOSS organizes WRMOCC http://www.computer.org/portal/web/COMPSAC/Workshops/WRMOCC with several RISCOSS participants on its program committee. The aim of the 1st IEEE International Workshop on Risk Management of OSS Components and Communities (WRMOCC), is to discuss and advance the state-of-the-art, research and development in the area of Risk Management of Open Source Software (OSS) adoption, deployment and maintenance. In particular, it has been stated repeatedly that the cloud of the future will be based on open source. OSS exhibits several characteristics that makes it highly attractive, such as its short time-to-market software service and product delivery, reduced development and maintenance costs, introduction of innovative features and its customization capabilities. OSS communities are a key player in this OSS arena. The chances of success of OSS adoption may increase if means exist for interpreting the data maintained by these communities (information on bugs, mailing lists archives, IRC chat archives) under a social network analysis perspective. Under this view, a large amount of quantitative data (big data) derived from software repositories needs to be integrated with qualitative information derived from expert opinions. Theories and techniques for the analysis of community dynamics (e.g., social networks) allow us considering how the communities are structured and how they evolve, in terms of factors affecting risks in OSS adoption, deployment and maintenance. WRMOCC 2014 welcomes submissions that present techniques, models and tools for risk management data analysis including information on OSS communities based on their available data.


 
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