A Refined Meta-Model Approach to Education for the Transition to Object Technology

Doroshenko, Eugene Eric

doi:10.1007/978-1-4471-1525-0_38

Cited by 2 publications

(1 citation statement)

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“…The model components can be viewed as a meta-model of research surveying tools, with instances as particular research surveying tools. This is similar to metamodelling in software methodologies (Doroshenko, 1997;Nissen, et al, 1996;Steele and Han, 1996), where an object model is a meta-model of application models and application models are instances of this meta-model.…”

Section: Analogical View Of Model Componentsmentioning

confidence: 94%

Refinement of Research Surveying in Software Methodologies by Analogy: finding your patch

Doroshenko¹,

Lear²

1999

AJIS

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To enhance research surveying in software methodologies, a model is introduced that can indicate field maturity based on vocabulary and relevant literature. This model is developed by drawing analogies with software methodologies. Two analogies are used: software models and software life cycles or processes. How this model can reduce research surveying problems for researchers is described using extracts from application results as examples. Although the model does support research surveying activities, it cannot choose the subject for the researcher. AJIS Vol. 6 No. 2 May 1999 has a conceptual model of the method process, and a representation model of modelling notation. Monarchi and Puhr (1992) associate modelling concepts with their graphic representation. Dependencies can further organise FM parts. These include include: Classification; one FM part is a more general form of another FM part. e.g. McChesney (1995) has classification dependency for specific concepts, such as style (AI, Petri net, functional, OO) and notation (text or graphic). Aggregation; one FM part is composed of, or part of, another FM part. e.g. Henderson-Sellers and Edwards (1990) have subdivision aggregate dependency, where a phase (Build) is composed of more specific phases (Coding, Program testing, Program use).

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Section: Analogical View Of Model Componentsmentioning

confidence: 94%