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Record W112652389

Agent- Oriented Software Development: A Case Study.

2001· article· en· W112652389 on OpenAlexaff
Paolo Giorgini, Anna Perini, John Mylopoulos, Fausto Giunchiglia, Paolo Bresciani

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicMulti-Agent Systems and Negotiation
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSoftware developmentComputer scienceTask (project management)Software engineeringSoftware development processSoftwareAgent-oriented software engineeringRequirements analysisResource (disambiguation)Knowledge managementEngineeringSystems engineering
DOInot available

Abstract

fetched live from OpenAlex

We are developing a methodology, called Tropos, for building agent-oriented software systems. The methodology covers five software development phases: early requirements analysis, late requirements analysis, architectural design, detailed design, and implementation. Throughout, the concepts offered by i* are used to model both the stakeholders in the system's environment, and the system itself. These concepts include actors, who can be (social) agents (organizational, human or software), positions or roles, goals, and social dependencies for defining the obligations of actors to other actors (called dependees and dependers respectively.) Dependencies may involve a goal, to be fulfilled by the dependee on behalf of the depender, a task to be carried out by the dependee, or a resource to be delivered. The paper presents a case study to illustrate the features and the strengths of the Tropos methodology.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.002
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.039
GPT teacher head0.274
Teacher spread0.235 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations30
Published2001
Admission routes1
Has abstractyes

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