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Community data for OSS adoption risk management

Author
Franch, X.; Kenett, R.; Susi, A.; Galanis, N.; Glott, R.; Mancinelli, F.
Type of activity
Book chapter
Book
The art and science of analyzing software data
First page
377
Last page
408
Publisher
Morgan Kaufman
Date of publication
2015
ISBN
978-0-12-411519-4 Open in new window
DOI
https://doi.org/10.1016/B978-0-12-411519-4.00014-8 Open in new window
URL
http://www.sciencedirect.com/science/article/pii/B9780124115194000148 Open in new window
Abstract
Open Source Software (OSS) has increasingly played a leading role in current information technology practices. Its pervasive adoption is not without risks for an industry that has experienced significant failures in product quality, timelines and delivery costs. Inadequate risk management has been identified among the top deficiencies when implementing OSS-based solutions. A crucial aspect in managing and mitigating OSS adoption risks is that of deeply understanding the behavior and dynamics of ...
Keywords
Bayesian networks, Goal-oriented modeling, Integrated models, Open source software, Risk management, Risk scenarios, Social network analysis
Group of research
GESSI - Group of Software and Service Engineering
SUSHITOS - Services for Ubiquitous, Social and Humanistic Information Technologies and Open Source
inSSIDE - integrated Software, Service, Information and Data Engineering

Participants

  • Franch Gutierrez, Javier  (author)
  • Kenett, Ron  (author)
  • Susi, Angelo  (author)
  • Galanis ., Nikolaos  (author)
  • Glott, Ruediger  (author)
  • Mancinelli, Fabio  (author)