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Record W2141762579 · doi:10.1109/compsac.2008.126

A Model of Open Source Software-Based Product Line Development

2008· article· en· W2141762579 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 institutionsWestern University
Fundersnot available
KeywordsSoftware product lineSoftware engineeringComputer scienceEclipseSoftware developmentSoftwareProcess (computing)Product (mathematics)Open source softwareSoftware architectureSystems engineeringEngineeringOperating system

Abstract

fetched live from OpenAlex

Software product line (SPL) and open source software (OSS) have emerged as successful modes of developing software. There is an increased interest in developing suitable approaches for combining the promised advantages of SPL and OSS. Researchers and practitioners have been emphasizing the need of exploiting the ever growing repositories of OSS components for developing SPLs. However, there is no conceptual model for guiding the process of developing OSS-based SPLs. In this paper, we propose a model for developing software product line using open source software. This paper identifies and elaborates the essential phases and activities of the proposed model of developing OSS-based SPLs. This model emphasizes the vital role of software architecture and asserts that software architectures of OSS can be exploited to establish a SPL. To demonstrate this, we have evaluated Eclipse's architecture for its potential to support different flavors of a system.

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)0.001
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 score0.429
Threshold uncertainty score0.461

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0020.001
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 head0.166
GPT teacher head0.319
Teacher spread0.153 · 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