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Record W2097429059 · doi:10.1109/ms.2010.36

Agility and Architecture: Can They Coexist?

2010· article· en· W2097429059 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

VenueIEEE Software · 2010
Typearticle
Languageen
FieldComputer Science
TopicAdvanced Software Engineering Methodologies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAgile software developmentComputer scienceSoftware engineeringSoftware architectureAgile Unified ProcessSoftware developmentPopularityArchitectureLean software developmentProcess managementSoftware development processSystems engineeringEngineering managementEngineeringSoftware

Abstract

fetched live from OpenAlex

Agile development has significantly impacted industrial software development practices. However, despite its wide popularity, there's an increasing perplexity about software architecture's role and importance in agile approaches. Advocates of architecture's vital role in achieving quality goals for large software-intensive systems doubt the scalability of any development approach that doesn't pay sufficient attention to architecture. This article talks about software architecture being relevant to the basis of aspects such as communication among team members, inputs to subsequent design decisions, documenting design assumptions, and evaluating design alternatives. In a large software organization, implementing agile approaches isn't a straightforward adoption problem. Most likely, it will take several years to shorten the feedback cycles to benefit from the adaptability and earlier value-creation opportunities. Failure is a natural part of process improvement.

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)0.002
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: Methods
Teacher disagreement score0.934
Threshold uncertainty score0.623

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.019
GPT teacher head0.266
Teacher spread0.247 · 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