2nd Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE2) Accepted Papers

In order by first author surname within the groups that came from the well-sorted community activity, and which will be used for the workshop discussion sessions.

• Exploring Sustainability
  • Mario Rosado de Souza, Robert Haines and Caroline Jay. Defining Sustainability through Developers’ Eyes: Recommendations from an Interview Study
  • Robert Downs, W. Christopher Lenhardt, Erin Robinson, Ethan Davis and Nicholas Weber. Community Recommendations for Sustainable Scientific Software
  • Abani Patra, Matthew Jones, Steven Gallo, Kyle Marcus and Tevfik Kosar. Role of Online Platforms, Communications and Workflows in Developing Sustainable Software for Science Communities
  • Marlon Pierce, Suresh Marru and Chris Mattmann. WSSSPE2: Patching It Up, Pulling It Forward
  • Justin Shi. Seeking the Principles of Sustainable Software Engineering
  • Colin C. Venters, Michael K. Griffiths, Violeta Holmes, Rupert R. Ward and David J. Cooke. The Nebuchadnezzar Effect: Dreaming of Sustainable Software through Sustainable Software Architectures
• Software Development Experiences
  • Jordan Adams, Sai Nudurupati, Nicole Gasparini, Daniel Hobley, Eric Hutton, Gregory Tucker and Erkan Istanbulluoglu. Landlab: Sustainable Software Development in Practice
  • Alice Allen and Judy Schmidt. Looking before leaping: Creating a software registry
  • Carl Boettiger, Ted Hart, Scott Chamberlain and Karthik Ram. Building software, building community: lessons from the ROpenSci project
  • Michael R. Crusoe and C.Titus Brown. Channeling community contributions to scientific software: a hackathon experience
  • Yolanda Gil, Eunyoung Moon and James Howison. No Science Software is an Island: Collaborative Software Development Needs in Geosciences
  • Ted Habermann, Andrew Collette, Steve Vincena, Werner Benger, Jay Jay Billings, Matt Gerring, Konrad Hinsen, Pierre de Buyl, Mark Könnecke, Filipe Rnc Maia and Suren Byna. The Hierarchical Data Format (HDF): A Foundation for Sustainable Data and Software
  • Marcus Hanwell, Patrick O’Leary and Bob O’Bara. Sustainable Software Ecosystems: Software Engineers, Domain Scientists, and Engineers Collaborating for Science
  • Eric Hutton, Mark Piper, Irina Overeem, Albert Kettner and James Syvitski. Building Sustainable Software – The CSDMS Approach
  • W. Christopher Lenhardt, Stanley Ahalt, Matt Jones, J. Aukema, S. Hampton, S. R. Hespanh, R. Idaszak and M. Schildhauer. ISEES-­‐WSSI Lessons for Sustainable Science Software from an Early Career Training Institute on Open Science Synthesis
  • Jory Schossau and Greg Wilson. Which Sustainable Software Practices Do Scientists Find Most Useful?
  • James S. Spencer, Nicholas S. Blunt, William A. Vigor, Fionn D. Malone, W. M. C. Foulkes, James J. Shepherd and Alex J. W. Thom. The Highly Accurate N-DEterminant (HANDE) quantum Monte Carlo project: Open-source stochastic diagonalisation for quantum chemistry
• Credit & Incentives
  • James Howison. Retract bit-rotten publications: Aligning incentives for sustaining scientific software
  • Daniel S. Katz and Arfon M. Smith. Implementing Transitive Credit with JSON-LD
  • Ian Kelley. Publish or perish: the credit deficit to making software and generating data
• Reproducibility & Reuse & Sharing
  • Jakob Blomer, Dario Berzano, Predrag Buncic, Ioannis Charalampidis, Gerardo Ganis, George Lestaris and René Meusel. The Need for a Versioned Data Analysis Software Environment
  • Ryan Chamberlain and Jennifer Schommer. Using Docker to Support Reproducible Research
  • Neil Chue Hong. Minimal information for reusable scientific software
  • Tom Crick, Benjamin A. Hall and Samin Ishtiaq. “Can I Implement Your Algorithm?”: A Model for Reproducible Research Software
  • Bryan Marker, Don Batory, Field G. Van Zee and Robert van de Geijn. Making Scientific Computing Libraries Forward Compatible
  • Stephen Piccolo. Building Portable Analytical Environments to improve sustainability of computational-analysis pipelines in the sciences
• Code Testing & Code Review
  • Thomas Clune, Michael Rilee and Damian Rouson. Testing as an Essential Process for Developing and Maintaining Scientific Software
  • Marian Petre and Greg Wilson. Code Review For and By Scientists
  • Andrew E. Slaughter, Derek R. Gaston, John Peterson, Cody J. Permann, David Andrs,  and Jason M. Miller. Continuous Integration for Concurrent MOOSE Framework and Application Development on GitHub