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8.2.2 Improvement of Software Engineering Performances An Experience Report at Bombardier Transportation – Total Transit Systems Signalling Group

2007· article· en· W2045085509 on OpenAlex
Claude Y. Laporte, Denis Roy, Mikel Doucet, Marc Drolet

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

VenueINCOSE International Symposium · 2007
Typearticle
Languageen
FieldComputer Science
TopicSoftware Engineering Techniques and Practices
Canadian institutionsBombardier (Canada)Computer Research Institute of MontréalÉcole de Technologie Supérieure
FundersAustralian Government
KeywordsBaseline (sea)Process managementProcess (computing)Maturity (psychological)Engineering managementKey (lock)Transport engineeringComputer scienceOperations managementEngineeringPsychologyOperating systemPolitical science

Abstract

fetched live from OpenAlex

Abstract The performance of the Bombardier TTS/Pittsburgh Signalling group has been evaluated twice: first in November 2003 and again in January 2006. The 2003 evaluation established a baseline for the evaluation of progress made in 2006. During those visits, the same evaluation method was used to evaluate project performance and organizational change management, i.e. the people issues. Since 2003, there has been substantial improvement in both process maturity level and process performance. This experience report, at Bombardier Transportation, illustrates that process performance improvements are achievable when two key factors are involved, namely: a link between business goals and process improvement activities, and a sponsor committing the right level of resources to the improvement program. This paper explains the multi‐dimensional methodology used to perform the evaluations, as well as the business goals and the quantitative performance improvements achieved since 2003.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.493
Threshold uncertainty score0.674

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
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 head0.008
GPT teacher head0.248
Teacher spread0.240 · 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