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Implementing policy @ WSSSPE
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Implementing PolicyWSSSPE Workshop 2013
Daisie HuangBiodiversity Research CentreUniversity of British Columbia
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Implementing Policy• Key issues:
• As software matures, new problems emerge.
• Sustainability issues should be addressed throughout the life cycle.
• How to implement sustainability when resources are limited?
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Implementing Policy
➡API Governance
➡Software Security
➡Sustainability
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Implementing Policy
➡API Governance
Developing Systems for API GovernanceC Krintz, H Jayathilaka, S Dimopoulos, A Pucher, and R Wolski, Department of Computer Science, UC Santa Barbara
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API Governance
• Scientific research relies on access to digital assets as well as hardware.
• APIs govern the interactions between these digital assets.
from phylotastic.org
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API Governance
• APIs need to be portable and consistent.
• Semantic compatibility
• Syntactic compatibility
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Implementing Policy
➡API Governance
➡Software Security
➡Sustainability
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Implementing Policy
➡Software Security
Toward a Research Software Security Maturity ModelR Heiland, B Thomas, V Welch, C Jackson, Center for Trustworthy Scientific Cyberinfrastructure, Indiana University
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Software Security
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Software Security• A Security Maturity Model can formalize this
process:
• Provides classification of software security practices.
• Provides a path for tightening security practices as a package’s maturity level increases.
• Emphasizes understandability over complexity.
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Implementing Policy
➡API Governance
➡Software Security
➡Sustainability
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Implementing Policy
➡Sustainability
A User Perspective on Sustainable Scientific SoftwareBrian Blanton and Chris Lenhardt, Renaissance Computing Institute
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Sustainability
• Tension between “getting it done” enough to publish scientific results and “getting it right” for future users.
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Sustainability
Co-funding
Best suited for large, collaborative projects
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“Software carpentry”
Teach scientists to use software development best practices.
Sustainability
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Implementing Policy
➡Sustainability
Software Engineering as Instrumentation for the Long Tail of Scientific SoftwareDaisie Huang and Hilmar Lapp, UBC and NESCent
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The Long TailThe lifespan of scientific software can be unexpectedly long.
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Lots of small programs implement different methods.
The Long Tail
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Facets of software design
• API development
• Security
• User interface design
• Test engineering
• Deployment
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Facets of software design
• API development
• Security
• User interface design
• Test engineering
• Deployment
Phylogenetics/Genomics/Ecology/Molecular Biology/Developmental
Biology
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Instrumentation• Software engineering as a resource
• Analogous to DNA sequencing facilities
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Instrumenting Software Engineering
• A scientific software engineering center can provide these resources to many projects.
• Governed by long -term vision that is not tied to success or failure of any individual project.
• Emphasis on executing good science by making functional tools.
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Conclusions• Many facets of software design not addressed in
most scientific software projects.
• Possible solutions include:
• large projects can hire developers with software engineering expertise
• providing scientists with software design guidance
• A software engineering center can provide both expertise and guidance to the long tail.