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Record W41029254 · doi:10.1002/smr.v17:2

Development and evolution of a heterogeneous continuous media server: a case study: Practice Articles

2005· article· en· W41029254 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

VenueJournal of Software Maintenance and Evolution Research and Practice · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicMultimedia Communication and Technology
Canadian institutionsUniversity of British ColumbiaUniversity of Saskatchewan
Fundersnot available
KeywordsComputer scienceMaintainabilityInterface (matter)SoftwareServerFile serverProgrammerModular designApplication serverSoftware designOperating systemServer farmUser interfaceSoftware developmentSoftware evolutionSoftware engineeringWorld Wide WebClient–server modelSoftware construction

Abstract

fetched live from OpenAlex

Media server software is significantly complicated to develop and maintain, due to the nature of the many interface aspects which must be considered. This paper provides a case study of the design, implementation, and evolution of a continuous media file server. We place emphasis on the evolution of the software and our approach to maintainability. The user interface is a major consideration, even though the server software would appear isolated from that factor. Since continuous media servers must send the raw data to a client application over a network, the protocol considerations, hardware interface, and data storage/retrieval methods are of the paramount importance. In addition, the application programmer's interface to the server facilities has an impact on both the internal design and the performance of such a server. We discuss our experiences and insight into the development of such software products within a small research-based university environment. We experienced two main types of evolutionary change: requirements changes from the limited user community and performance enhancements/corrections. While the former were anticipated via a generic interface and modular design structure, the latter were surprising and substantially more difficult to solve. Copyright © 2005 John Wiley & Sons, Ltd.

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)0.010
metaresearch head score (Gemma)0.028
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.647
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.028
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.080
GPT teacher head0.402
Teacher spread0.322 · 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