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Record W2126658443 · doi:10.1109/adc.2005.50

Waltzing with changes [agile software development]

2006· article· en· W2126658443 on OpenAlexaff
A. Law, Shawn Learn

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicSoftware Engineering Techniques and Practices
Canadian institutionsTransCanada (Canada)
Fundersnot available
KeywordsAgile software developmentTimelineComputer scienceSoftware developmentSoftware engineeringSoftware development processSoftware project managementChange management (ITSM)Agile Unified ProcessProject managementQuality (philosophy)Process managementSoftwareSoftware constructionSystems engineeringEngineeringOperations management

Abstract

fetched live from OpenAlex

"The only thing that is a constant is change." Greek philosopher, Heraclitus. This idiom is especially true when dealing with a software development project. With varying degrees, change impacts project delivery, budget, and quality. Often in today's environment, the requirements for higher quality software combined with compressed timelines and fewer developers can make change management a difficult task. This paper focuses on how agile practices play a role in managing changes in an industrial software project developed at TransCanada. We discuss how the impacts of changes in resources, changes in requirements, and external factors can be minimized. We examine numerous methods of overcoming challenges that often occur during industrial software development.

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.

How this classification was reachedexpand

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: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.873
Threshold uncertainty score0.280

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 communication0.0000.000
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 head0.009
GPT teacher head0.202
Teacher spread0.193 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2006
Admission routes1
Has abstractyes

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