Publications

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

Jared Bhatti, Zachary Sarah Corleissen, Jen Lambourne, David Nunez, and Heidi Waterhouse. Docs for Developers. Apress, 2021. [PUMA: diss documentation workflow] 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: diss documentation forschungsdaten recommendation software]

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: diss documentation forschungsdaten recommendation software] URL

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

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

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: diss documentation forschungsdaten recommendation software] 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: diss documentation reusability software] URL

Jihyun Kim. An analysis of data paper templates and guidelines: types of contextual information described by data journals. Science Editing, (7)1:16--23, Korean Council of Science Editors, February 2020. [PUMA: data diss documentation journal] 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: diss documentation forschungsdaten recommendation software] URL