Publications

Titus Winters, Tom Manshreck, and Wright Hyrum. Software engineering at Google: lessons learned from programming over time. O'Reilly, Beijing, 2020. [PUMA: documentation software diss]

Rafael C. Jiménez, Mateusz Kuzak, Monther Alhamdoosh, Michelle Barker, Bérénice Batut, Mikael Borg, Salvador Capella-Gutierrez, Neil Chue Hong, Martin Cook, Manuel Corpas, Madison Flannery, Leyla Garcia, Josep Ll. Gelp\'ı, Simon Gladman, Carole Goble, Montserrat González Ferreiro, Alejandra Gonzalez-Beltran, Philippa C. Griffin, Björn Grüning, Jonas Hagberg, Petr Holub, Rob Hooft, Jon Ison, Daniel S. Katz, Brane Leskosek, Federico López Gómez, Luis J. Oliveira, David Mellor, Rowland Mosbergen, Nicola Mulder, Yasset Perez-Riverol, Robert Pergl, Horst Pichler, Bernard Pope, Ferran Sanz, Maria V. Schneider, Victoria Stodden, Radosław Suchecki, Radka Svobodová Vareková, Harry-Anton Talvik, Ilian Todorov, Andrew Treloar, Sonika Tyagi, Maarten van Gompel, Daniel Vaughan, Allegra Via, Xiaochuan Wang, Nathan S. Watson-Haigh, and Steve Crouch. Four simple recommendations to encourage best practices in research software. F1000Research, (6):876, F1000 Research Ltd, June 2017. [PUMA: forschungsdaten documentation software] URL

Janna Hastings, Kenneth Haug, and Christoph Steinbeck. Ten recommendations for software engineering in research. GIGASCIENCE, (3)BIOMED CENTRAL LTD, 236 GRAYS INN RD, FLOOR 6, LONDON WC1X 8HL, ENGLAND, December 2014. [PUMA: forschungsdaten documentation software recommendation diss]

Morgan Taschuk, and Greg Wilson. Ten simple rules for making research software more robust. PLOS Computational Biology, (13)4:1-10, Public Library of Science, April 2017. [PUMA: forschungsdaten documentation software recommendation diss] URL

Mehran Karimzadeh, and Michael M. Hoffman. Top considerations for creating bioinformatics software documentation. BRIEFINGS IN BIOINFORMATICS, (19)4:693-699, OXFORD UNIV PRESS, GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND, July 2018. [PUMA: forschungsdaten documentation software]

Fergus Henderson. Software Engineering at Google. CoRR, (abs/1702.01715)2017. [PUMA: forschungsdaten documentation software diss quality] URL

Arne Johanson, and Wilhelm Hasselbring. Software Engineering for Computational Science: Past, Present, Future. Computing in Science Engineering, (20)2:90-109, March 2018. [PUMA: forschungsdaten documentation software diss] URL

Konrad Hinsen. The Roles of Code in Computational Science. Computing in Science Engineering, (19)1:78-82, January 2017. [PUMA: forschungsdaten documentation software diss] URL

Felipe Febrero, Coral Calero, and M. Ángeles Moraga. Software reliability modeling based on ISO/IEC SQuaRE. Information and Software Technology, (70):18--29, Elsevier BV, February 2016. [PUMA: forschungsdaten documentation software diss quality] URL

Xuan Yu, Christopher J. Duffy, Alain N. Rousseau, Gopal Bhatt, Alvaro Pardo Alvarez, and Dominique Charron. Open science in practice: Learning integrated modeling of coupled surface-subsurface flow processes from scratch. EARTH AND SPACE SCIENCE, (3)5:190-206, AMER GEOPHYSICAL UNION, 2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA, May 2016. [PUMA: forschungsdaten documentation software reusability diss]

Yolanda Gil, Cédric H. David, Ibrahim Demir, Bakinam T. Essawy, Robinson W. Fulweiler, Jonathan L. Goodall, Leif Karlstrom, Huikyo Lee, Heath J. Mills, Ji-Hyun Oh, Suzanne A. Pierce, Allen Pope, Mimi W. Tzeng, Sandra R. Villamizar, and Xuan Yu. Toward the Geoscience Paper of the Future: Best practices for documenting and sharing research from data to software to provenance. Earth and Space Science, (3)10:388--415, American Geophysical Union (AGU), October 2016. [PUMA: forschungsdaten documentation software recommendation diss] URL

Michail D. Papamichail, Themistoklis Diamantopoulos, and Andreas L. Symeonidis. Measuring the reusability of software components using static analysis metrics and reuse rate information. Journal of Systems and Software, (158):110423, Elsevier BV, December 2019. [PUMA: documentation software reusability diss] URL

Geir Kjetil Sandve, Anton Nekrutenko, James Taylor, and Eivind Hovig. Ten Simple Rules for Reproducible Computational Research. PLOS Computational Biology, (9)10:1-4, Public Library of Science, October 2013. [PUMA: forschungsdaten documentation software recommendation diss] URL