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Record W2159987338 · doi:10.5555/381473.381502

Separating features in source code: an exploratory study

2001· article· en· W2159987338 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 British Columbia
Fundersnot available
KeywordsCodebaseAspectJComputer scienceContext (archaeology)Process (computing)Separation of concernsSoftware engineeringSource codeFeature (linguistics)Programming languageSoftware systemSoftware evolutionCode (set theory)SoftwareAspect-oriented programmingSoftware constructionSet (abstract data type)

Abstract

fetched live from OpenAlex

Most software system codebases are inflexible. Reconfiguring the software modules comprising a system to add or to delete a feature typically requires substantial effort. This lack of flexibility increases the costs of building variants of a system, amongst other problems. New languages and tools that are being developed to provide additional support for separating concerns in a system show promise to help address this problem. However, applying these mechanisms requires determining how to enable a feature to be separated from the codebase. In this paper, we investigate this problem through an exploratory study conducted in the context of two existing systems: gnu.regexp and jFTPd. The study consisted of applying three different separation of concern mechanisms---Hyper/J TM , AspectJ TM , and a lightweight, lexically-based approach---to separate features in the two packages. In this paper, we report on the study, providing contributions in two areas. First, we characterize the effect different mechanisms have on the structure of the codebase. Second, we characterize the restructuring process required to perform the separations. These characterizations can help software engineering researchers elucidate the design space of using these mechanisms, tool developers design support to aid the separation process, and early adopters apply the techniques. Keywords design space, feature separation, aspect-oriented programming, hyperspaces 1

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.494
Threshold uncertainty score0.432

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 head0.068
GPT teacher head0.348
Teacher spread0.281 · 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

Quick stats

Citations106
Published2001
Admission routes1
Has abstractyes

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