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Record W2915051028

Proceedings of the Second International Workshop on Context for Software Development

2015· article· en· W2915051028 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

VenueInternational Conference on Software Engineering · 2015
Typearticle
Languageen
FieldComputer Science
TopicSoftware Engineering Techniques and Practices
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsSoftware developmentComputer scienceSoftware engineeringSoftware development processPersonal software processContext (archaeology)Social software engineeringSoftware constructionSoftwareSoftware peer reviewTask (project management)Leverage (statistics)Software project managementSystems engineeringEngineeringArtificial intelligenceProgramming language
DOInot available

Abstract

fetched live from OpenAlex

It is our pleasure to welcome you to the (pre-workshop) proceedings of the 2nd International Workshop on Context for Software Development (CSD 2015) co-located with the 37th International Conference on Software Engineering (ICSE 2015) to be held in Florence, Italy on May 19th, 2015. There is a great deal of context that is needed for a developer to fully understand a task, including relevant software artifacts and their change history, requirements, design specifications, dependent tasks, concurrent work, discussions and knowledge exchanges about those tasks and artifacts, and more. In fact, context in software development is multifaceted, and what information is relevant as context for a developer working on a given task is not fully understood. Developers must make use of knowledge gleaned from all of this context to make decisions, coordinate their work, understand the purpose behind their tasks, and understand how their tasks fit with the rest of the project. However, there is little research on what type of context is needed for a developer to complete a task, how we can model context around a task, and how we can use those models in software development at large. Identifying and modeling context in software development will lay the foundation for future software engineering techniques and tools that leverage development context for better support of software developers as they manage and make use of the copious amount of context around their development tasks. Context is also important for empirical software engineering research since the software development process is dependent on many factors of the development setting and these factors are important to understanding results of research studies. The goal of the workshop is to bring together researchers interested in developing a better understanding of the context needed for software development. At the workshop, we will discuss: •the types of context needed to successfully complete a development task •how to model context around a task •techniques and tools that leverage context information around development activities for better support of software development activities

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.834
Threshold uncertainty score0.736

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
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 science0.0020.000
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 head0.061
GPT teacher head0.288
Teacher spread0.227 · 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