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Record W2151563464 · doi:10.1109/hicss.2001.927250

The space station operations control software: a case study in architecture maintenance

2005· article· en· W2151563464 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
TopicAdvanced Software Engineering Methodologies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsComputer scienceSoftware engineeringSoftware maintenanceSoftware architectureArchitectureSoftwareSystems engineeringCode refactoringSoftware systemReliability engineeringEngineeringOperating system

Abstract

fetched live from OpenAlex

Software maintenance teams are often faced with the challenge of adapting a system's architecture in response to problem reports as well as new functional requirements. More often than not, these maintenance objectives can be accomplished either through the addition of alternative, "patching" components, or by refactoring the original architecture. The latter approach usually results in a simpler, more cohesive design that is more robust, easier to maintain, and therefore should be preferred. This paper presents a case study describing how the Space Station Operations Control Software (OCS) team has handled architectural change after the initial delivery of the system. In particular, the paper analyses two specific examples: the reaction of the maintenance team to a design problem discovered during testing, and the incorporation of a major new feature into the software design.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.436
Threshold uncertainty score0.296

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.021
GPT teacher head0.296
Teacher spread0.275 · 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