This report documents the talks and discussions at the Dagstuhl seminar 16111 "Rethinking Experimental Methods in Computing". The seminar brought together researchers from several computer science communities, including algorithm engineering, programming languages, information retrieval, high-performance computing, operations research, performance analysis, embedded systems, distributed systems, and software engineering. The main goals of the seminar were building a network of experimentalists and fostering a culture of sound quantitative experiments in computing. During the seminar, groups of participants have worked on distilling useful resources based on the collective experience gained in different communities and on planning actions to...
Experiments play a central role in science. The role of experiments in computing is, however, unclea...
National audienceThe ability to reproduce experiments and results is condition to a solid scientific...
This report documents the program and the outcomes of Dagstuhl Seminar 17351 "Machine Learning and F...
Report from Dagstuhl Seminar 13021International audienceThis report documents the program and the ou...
Many scientific fields of study use formally established evidence standards during the peer review a...
The report documents the program and outcomes of Dagstuhl Seminar 18061 "Evidence About Programmers ...
This report documents the program and the outcomes of Dagstuhl Seminar 16041 "Reproducibility of Dat...
This report documents the programme and outcomes of Dagstuhl Seminar 16381 “SAT and Interactions”. T...
The main goal of the seminar ``Mathematical and Computational Foundations of Learning Theory\u27\u27...
Reproducibility of research in Computer Science and in the field of networking in particular is a we...
The Dagstuhl Seminar "Formal Methods and Fault-Tolerant Distributed Computing: Forging an Alliance" ...
This report documents the program and the outcomes of Dagstuhl Seminar on Computational Interaction ...
This report documents the program and the outcomes of Dagstuhl Seminar 11351 ``Computer Science & Pr...
The ability to conduct consistent, controlled, and repeatable large-scale experiments in all areas o...
The dissemination of research results is an integral part of research and hence a crucial component ...
Experiments play a central role in science. The role of experiments in computing is, however, unclea...
National audienceThe ability to reproduce experiments and results is condition to a solid scientific...
This report documents the program and the outcomes of Dagstuhl Seminar 17351 "Machine Learning and F...
Report from Dagstuhl Seminar 13021International audienceThis report documents the program and the ou...
Many scientific fields of study use formally established evidence standards during the peer review a...
The report documents the program and outcomes of Dagstuhl Seminar 18061 "Evidence About Programmers ...
This report documents the program and the outcomes of Dagstuhl Seminar 16041 "Reproducibility of Dat...
This report documents the programme and outcomes of Dagstuhl Seminar 16381 “SAT and Interactions”. T...
The main goal of the seminar ``Mathematical and Computational Foundations of Learning Theory\u27\u27...
Reproducibility of research in Computer Science and in the field of networking in particular is a we...
The Dagstuhl Seminar "Formal Methods and Fault-Tolerant Distributed Computing: Forging an Alliance" ...
This report documents the program and the outcomes of Dagstuhl Seminar on Computational Interaction ...
This report documents the program and the outcomes of Dagstuhl Seminar 11351 ``Computer Science & Pr...
The ability to conduct consistent, controlled, and repeatable large-scale experiments in all areas o...
The dissemination of research results is an integral part of research and hence a crucial component ...
Experiments play a central role in science. The role of experiments in computing is, however, unclea...
National audienceThe ability to reproduce experiments and results is condition to a solid scientific...
This report documents the program and the outcomes of Dagstuhl Seminar 17351 "Machine Learning and F...