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Record W2149507168 · doi:10.1109/agile.2011.45

Collaborative Events and Shared Artefacts: Agile Interaction Designers and Developers Working Toward Common Aims

2011· article· en· W2149507168 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicSoftware Engineering Techniques and Practices
Canadian institutionsCarleton University
Fundersnot available
KeywordsImpromptuAgile software developmentComputer scienceWork (physics)Knowledge managementUser storyCollaborative softwareCategorizationSoftware engineeringSoftwareHuman–computer interactionEngineeringSoftware development

Abstract

fetched live from OpenAlex

Agile processes emphasize collaboration. We were interested in studying collaboration in agile teams including interaction designers, since the integration of user interaction design processes and software development processes is still an open issue. This study focused on designer and developer collaborations in the early stages of project work at four workplaces. We found designer-developer collaborations were extensive and we developed a categorization scheme of collaboration forms and artefacts that support this relationship. While some designer-developer collaborations were directed towards planning, which has been extensively researched, a larger part was directed towards realignment work. This latter type of collaborative work took three basic forms: scheduled, impromptu, and chats. Regardless of the form of collaboration, designer-developer interactions were mediated by twelve categories of artefacts. These artefacts helped designers and developers to determine, more specifically, what to create. We discuss the implications of our observations on alignment work for theory and practice.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.779
Threshold uncertainty score0.394

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.055
GPT teacher head0.273
Teacher spread0.218 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it