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Participatory Programming: Developing Programmable Bioinformatics Tools for End-Users

Authors: Letondal, Catherine;

Participatory Programming: Developing Programmable Bioinformatics Tools for End-Users

Abstract

We describe participatory programming as a process that spans design, programming, use and tailoring of software. This process, that includes end-users at each stage, integrates participatory design and programmability. Programmability, as a property that relies on a reflective architecture, aims to let the end-users evolve the tools themselves according to their current, specific needs and to let them control better the way results are computed. We present an environment that results from this approach, called biok, developed for researchers in biology, which is both domain-oriented and open to full programming.

Country
France
Keywords

ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.6: Programming Environments/D.2.6.2: Interactive environments, [INFO.INFO-PL]Computer Science [cs]/Programming Languages [cs.PL], ACM: H.: Information Systems/H.5: INFORMATION INTERFACES AND PRESENTATION (e.g., ACM: H.: Information Systems/H.1: MODELS AND PRINCIPLES/H.1.2: User/Machine Systems/H.1.2.2: Software psychology, ACM: H.: Information Systems/H.1: MODELS AND PRINCIPLES/H.1.2: User/Machine Systems/H.1.2.0: Human factors, HCI)/H.5.2: User Interfaces, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.10: Design/D.2.10.0: Methodologies, 004, [INFO.INFO-PL] Computer Science [cs]/Programming Languages [cs.PL], ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.2: Design Tools and Techniques/D.2.2.12: User interfaces, End-User Development, [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], participatory design, [INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC]

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Average
Top 10%
Average
Green