PUMA publications for /group/simtech/documentation

Software engineering at Google: lessons learned from programming over time

hermann — 2022-07-27T10:03:53+02:00

T. Winters, T. Manshreck, und W. Hyrum. O'Reilly, Beijing, (2020)1 Online Ressource (xxv, 571 pages).

Docs for Developers

hermann — 2022-05-02T11:10:23+02:00

J. Bhatti, Z. Corleissen, J. Lambourne, D. Nunez, und H. Waterhouse. Apress, (2021)

On the Symbiosis of Remembering, Forgetting and Learning

hermann — 2022-02-07T16:12:04+01:00

R. Bjork. Psychology Press, New York, NY [u.a.], (2011)Literaturangaben; Mit Reg.; "In January 2009, the University of California, Los Angeles hosted a conference in which only a small portion of the many friends, mentors, colleagues, and students of Robert Bjork came together to discuss current research on human memory and to celebrate together the many traditions and friendships that mark Bob's career." (Preface, p. XI)Erscheint: 01. November 2010; On the symbiosis of remembering, forgetting, and learning; Intricacies of spaced retrieval : a resolution; Distributed learning and the size of memory : a 50-year spacing odyssey; The causes and consequences of reminding; Retrieval-induced forgetting and the resolution of competition; On the relationship between interference and inhibition in cognition; Sleep, retrieval inhibition, and the resolving power of human memory; Blocking out blocks : adaptive forgetting of fixation in memory, problem solving, and creative ideation; A contextual framework for understanding when difficulties are desirable; Testing, generation, and spacing applied to education : past, present, and future; Learning from and for tests; Can desirable difficulties overcome deceptive clarity in scientific visualizations?; Desirable difficulties and studying in the region of proximal learning; Data entry : a window to principles of training; An output-bound perspective on false memories : the case of the Deese Roediger McDermott (DRM) paradigm; How should we define and differentiate metacognitions?; Learning from the consequences of retrieval : another test effect; Failing to predict future changes in memory : a stability bias yields long-term overconfidence; Relying on other people's metamemory; Multidimensional models for item recognition and source identification; Pursuing a general model of recall and recognition; Memory for pictures : sometimes a picture is not worth a single word; Administration of dehydroepiandrosterone (DHEA) increases serum levels of androgens and estrogens but does not enhance recognition memory in postmenopausal women; On the fruitful relationship between functional neuroimaging and cognitive theories of human learning and memory; Age-related changes in the episodic simulation of past and future events.

Four simple recommendations to encourage best practices in research software

hermann — 2021-05-27T14:40:06+02:00

R. Jiménez, M. Kuzak, M. Alhamdoosh, M. Barker, B. Batut, M. Borg, S. Capella-Gutierrez, N. Hong, M. Cook, M. Corpas und 39 andere Autor(en). F1000Research, (Juni 2017)

Ten recommendations for software engineering in research

hermann — 2021-05-27T14:24:06+02:00

J. Hastings, K. Haug, und C. Steinbeck. GIGASCIENCE, (Dezember 2014)

Ten simple rules for making research software more robust

hermann — 2021-05-27T14:15:39+02:00

M. Taschuk, und G. Wilson. PLOS Computational Biology, 13 (4): 1-10 (April 2017)

Software Engineering at Google

hermann — 2021-04-13T07:03:21+02:00

F. Henderson. CoRR, (2017)

Software Engineering for Computational Science: Past, Present, Future

hermann — 2021-04-13T06:51:12+02:00

A. Johanson, und W. Hasselbring. Computing in Science Engineering, 20 (2): 90-109 (März 2018)

The Roles of Code in Computational Science

hermann — 2021-04-13T06:49:30+02:00

K. Hinsen. Computing in Science Engineering, 19 (1): 78-82 (Januar 2017)

Software reliability modeling based on ISO/IEC SQuaRE

hermann — 2021-03-11T06:28:02+01:00

F. Febrero, C. Calero, und M. Moraga. Information and Software Technology, (Februar 2016)

Open science in practice: Learning integrated modeling of coupled surface-subsurface flow processes from scratch

hermann — 2021-03-01T06:50:48+01:00

X. Yu, C. Duffy, A. Rousseau, G. Bhatt, A. Alvarez, und D. Charron. EARTH AND SPACE SCIENCE, 3 (5): 190-206 (Mai 2016)

Toward the Geoscience Paper of the Future: Best practices for documenting and sharing research from data to software to provenance

hermann — 2021-03-01T06:20:42+01:00

Y. Gil, C. David, I. Demir, B. Essawy, R. Fulweiler, J. Goodall, L. Karlstrom, H. Lee, H. Mills, J. Oh und 5 andere Autor(en). Earth and Space Science, 3 (10): 388--415 (Oktober 2016)

Measuring the reusability of software components using static analysis metrics and reuse rate information

hermann — 2021-02-26T07:33:26+01:00

M. Papamichail, T. Diamantopoulos, und A. Symeonidis. Journal of Systems and Software, (Dezember 2019)

An analysis of data paper templates and guidelines: types of contextual information described by data journals

hermann — 2021-02-23T06:44:07+01:00

J. Kim. Science Editing, 7 (1): 16--23 (Februar 2020)

Ten Simple Rules for Reproducible Computational Research

hermann — 2020-03-05T11:30:25+01:00

G. Sandve, A. Nekrutenko, J. Taylor, und E. Hovig. PLOS Computational Biology, 9 (10): 1-4 (Oktober 2013)