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Selection: with tag workflow [7 articles] 

 

(INRMM-MiD internal record) List of keywords of the INRMM meta-information database - part 44

  
(February 2018)

Abstract

List of indexed keywords within the transdisciplinary set of domains which relate to the Integrated Natural Resources Modelling and Management (INRMM). In particular, the list of keywords maps the semantic tags in the INRMM Meta-information Database (INRMM-MiD). [\n] The INRMM-MiD records providing this list are accessible by the special tag: inrmm-list-of-tags ( http://mfkp.org/INRMM/tag/inrmm-list-of-tags ). ...

 

Software Dependencies, Work Dependencies, and Their Impact on Failures

  
IEEE Transactions on Software Engineering, Vol. 35, No. 6. (November 2009), pp. 864-878, https://doi.org/10.1109/tse.2009.42

Abstract

Prior research has shown that customer-reported software faults are often the result of violated dependencies that are not recognized by developers implementing software. Many types of dependencies and corresponding measures have been proposed to help address this problem. The objective of this research is to compare the relative performance of several of these dependency measures as they relate to customer-reported defects. Our analysis is based on data collected from two projects from two independent companies. Combined, our data set encompasses eight ...

 

Approaches to Compute Workflow Complexity

  
In The Role of Business Processes in Service Oriented Architectures, No. 06291. (2006)

Abstract

During the last 20 years, complexity has been an interesting topic that has been investigated in many fields of science, such as biology, neurology, software engineering, chemistry, psychology, and economy. A survey of the various approaches to understand complexity has lead sometimes to a measurable quantity with a rigorous but narrow definition and other times as merely an ad hoc label. In this paper we investigate the complexity concept to avoid a vague use of the term `complexity' in workflow designs. ...

 

Implementing reproducible research

  
(2014)
by Alexander A. Aarts, Anita Alexander, Peter Attridge, Štěpán Bahník, Michael Barnett-Cowan, Elizabeth Bartmess, Frank A. Bosco, Mikio Braun, Benjamin Brown, C. Titus Brown, Kristina Brown, Jesse J. Chandler, Russ Clay, Hayley Cleary, Michael Cohn, Giulio Costantini, Jan Crusius, Andrew Davison, Jamie DeCoster, Michelle DeGaetano, Ryan Donohue, Elizabeth Dunn, Scott Edmunds, Casey Eggleston, Vivien Estel, Frank J. Farach, Susann Fiedler, James G. Field, Stanka Fitneva, Ian Foster, Joshua D. Foster, Rebecca S. Frazier, Juliana Freire, Elisa M. Galliani, Roger Giner-Sorolla, Lars Goellner, R. Justin Goss, Jesse Graham, James A. Grange, Philip Guo, Joshua Hartshorne, Timothy B. Hayes, Grace Hicks, Holger Hoefling, Bill Howe, Iain Hrynaszkiewicz, Denise Humphries, Christophe Hurlin, Luis Ibanez, Georg Jahn, Kate Johnson, Jennifer A. Joy-Gaba, Heather B. Kappes, Calvin K. Lai, Daniel Lakens, Kristin A. Lane, Etienne P. LeBel, Minha Lee, Kristi Lemm, Melissa Lewis, Stephanie C. Lin, Peter Li, Sean Mackinnon, Heather Mainard, Tanu Malik, Nathaniel Mann, Michael May, Jarrod Millman, Katherine Moore, Matt Motyl, Stephanie M. Müller, Dave Murray-Rust, Peter Murray-Rust, Brian A. Nosek, Catherine Olsson, Cheng S. Ong, Fernando Perez, Christophe Perignon, Marco Perugini, Quan Pham, Michael Pitts, Kate Ratliff, Frank Renkewitz, Anthony Rossini, Abraham M. Rutchick, Gillian Sandstrom, Dylan Selterman, William Simpson, Colin T. Smith, Jeffrey R. Spies, Victoria Stodden, Thomas Talhelm, Anna Veer, Michelangelo Vianello, Yihui Xie

Abstract

In computational science, reproducibility requires that researchers make code and data available to others so that the data can be analyzed in a similar manner as in the original publication. Code must be available to be distributed, data must be accessible in a readable format, and a platform must be available for widely distributing the data and code. In addition, both data and code need to be licensed permissively enough so that others can reproduce the work without a substantial legal ...

 

Characterising performance of environmental models

  
Environmental Modelling & Software, Vol. 40 (February 2013), pp. 1-20, https://doi.org/10.1016/j.envsoft.2012.09.011

Abstract

In order to use environmental models effectively for management and decision-making, it is vital to establish an appropriate level of confidence in their performance. This paper reviews techniques available across various fields for characterising the performance of environmental models with focus on numerical, graphical and qualitative methods. General classes of direct value comparison, coupling real and modelled values, preserving data patterns, indirect metrics based on parameter values, and data transformations are discussed. In practice environmental modelling requires the use and implementation ...

 

Human Sphexishness -Why We Make the Same Mistakes Over and Over Again

  
(March 2003)

Abstract

Why is it that sometimes we do the same inappropriate things over and over again, i. e., why are we sphexish? It’s because we have adopted detrimental, but self-reinforcing, routines and beliefs – memes – which we aren’t conscious of any more or have a strong urge to adhere to. ...

 

A data-driven workflow language for grids based on array programming principles

  
In Proceedings of the 4th Workshop on Workflows in Support of Large-Scale Science (2009), https://doi.org/10.1145/1645164.1645171

Abstract

Different scientific workflow languages have been developed to help programmers in designing complex data analysis procedures. However, little effort has been invested in comparing and finding a common root for existing approaches. This work is motivated by the search for a scientific workflow language which coherently integrates different aspects of distributed computing. The language proposed is data-driven for easing the expression of parallel flows. It leverages array programming principles to ease data-intensive applications design. It provides a rich set of control ...

This page of the database may be cited as:
Integrated Natural Resources Modelling and Management - Meta-information Database. http://mfkp.org/INRMM/tag/workflow

Publication metadata

Bibtex, RIS, RSS/XML feed, Json, Dublin Core

Meta-information Database (INRMM-MiD).
This database integrates a dedicated meta-information database in CiteULike (the CiteULike INRMM Group) with the meta-information available in Google Scholar, CrossRef and DataCite. The Altmetric database with Article-Level Metrics is also harvested. Part of the provided semantic content (machine-readable) is made even human-readable thanks to the DCMI Dublin Core viewer. Digital preservation of the meta-information indexed within the INRMM-MiD publication records is implemented thanks to the Internet Archive.
The library of INRMM related pubblications may be quickly accessed with the following links.
Search within the whole INRMM meta-information database:
Search only within the INRMM-MiD publication records:
Full-text and abstracts of the publications indexed by the INRMM meta-information database are copyrighted by the respective publishers/authors. They are subject to all applicable copyright protection. The conditions of use of each indexed publication is defined by its copyright owner. Please, be aware that the indexed meta-information entirely relies on voluntary work and constitutes a quite incomplete and not homogeneous work-in-progress.
INRMM-MiD was experimentally established by the Maieutike Research Initiative in 2008 and then improved with the help of several volunteers (with a major technical upgrade in 2011). This new integrated interface is operational since 2014.