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Record W2913293482

Proceedings of the 6th International Workshop on Modeling in Software Engineering

2014· article· en· W2913293482 on OpenAlex
Joanne M. Atlee, Vinay Kulkarni, Tony Clark, Bernhard Rumpe⋆

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 Waterloo
Fundersnot available
KeywordsSoftware engineeringComputer scienceSocial software engineeringSoftware developmentModel-driven architectureMainstreamDomain (mathematical analysis)Software Engineering Process GroupSoftwareModeling languageEngineering managementSoftware development processSoftware constructionData scienceEngineering
DOInot available

Abstract

fetched live from OpenAlex

Models have long been used in the development of complex systems. Their use is becoming more prevalent in the software development domain as modeling techniques and tools mature. Despite this, there are many challenging issues that the modeling research community must address if software modeling practices are to become mainstream. Furthermore, software and systems have become more intertwined, and the modeling techniques used for systems engineering need to be harmonized with software models. The 2015 edition of the MiSE (Modeling in Software Engineering) workshop aimed at discussing the state-of-the-art and future challenges in modeling, while bringing together different communities of researchers and practitioners who develop, analyze and deploy models in solving engineering problems. The primary goal of MiSE 2015 was to foster the exchange of innovative ideas on the use of models in software engineering. Another goal of this workshop was to further promote cross-fertilization between the model-driven engineering (MDE) communities (e.g., who associate with the MoDELS conference) and software engineering communities. Previous versions of the workshop showed that while there is great interest in collaborations and discussions across these communities, there are differences in terminologies and concepts that need to be harmonized for effective communication to take place. To ensure that discussions at the 2015 workshop progressed beyond the basic alignment of concepts, potential workshop participants were encouraged to familiarize themselves with the papers presented at the previous MiSE workshops, as well as papers that were to be presented at MiSE 2015. The workshop provided a forum for discussing and critically analyzing modeling techniques with respect to their purposes in software engineering processes. Participants engaged in the exchange of innovative technical ideas and experiences related to modeling, including modeling notations, abstraction techniques, modeling strategies, and use of models in development activities, including system configuration, system simulation, testing, and product line variability management. The workshop aimed to explore the following major purposes of software modeling: •Exploration: where models are used to explore and learn about the problem to be solved --- where the problem can be, for example, requirements identification, system specification, system or component design, complex protocol or algorithm design. Of particular interest was the use of models to enable what-if? analysis and prognostics (e.g., prediction), such as via models of Big Data. •Communication: Communication models are used to document software decisions (e.g., requirements, designs, and deployment decisions), or to enable discussion, conversation and negotiation between different stake-holder groups with different perspectives, vocabularies and needs. •Support for downstream activities: software models can be used to answer questions or check properties (e.g., correctness, fitness for use) of the modeled artifact, to generate other artifacts, or to configure existing systems. •Configurability and adaptation: where we use models at runtime to configure the system and adapt it to changed needs of the users. A model of the environment also allows a system to capture its knowledge about the context it controls or communicates with. The 2015 workshop focused on analyzing both successful and unsuccessful applications of software modeling techniques to gain insights into challenging modeling problems, including: (1) identifying, describing, and using appropriate abstractions, (2) supporting incremental, iterative development through the use of appropriate model composition, transformation and other model manipulation operators, (3) automated analysis of possibly large, possibly incomplete models to determine the presence or absence of desired and undesired properties, and (4) using models to ask questions, enable decision-making in organizations, or to support prognostics related to important domain-specific questions.

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)0.003
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 score0.436
Threshold uncertainty score0.305

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
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 science0.0010.000
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 head0.037
GPT teacher head0.258
Teacher spread0.222 · 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