6533b839fe1ef96bd12a58df

RESEARCH PRODUCT

Towards DSL for DL Lifecycle Data Management

Mikus GrasmanisJanis BarzdinsArturs SprogisEdgars CelmsAudris KalninsPaulis BarzdinsSergejs Rikacovs

subject

Domain-specific languagebusiness.industryComputer scienceData managementDeep learningUSableDomain (software engineering)MetamodelingDigital subscriber lineSoftware_SOFTWAREENGINEERINGSpecialization (functional)Artificial intelligencebusinessSoftware engineering

description

A new method based on Domain Specific Language (DSL) approach to Deep Learning (DL) lifecycle data management tool support is presented: a very simple DL lifecycle data management tool, which however is usable in practice (it will be called Core tool) and a very advanced extension mechanism which in fact converts the Core tool into domain specific tool (DSL tool) building framework for DL lifecycle data management tasks. The extension mechanism will be based on the metamodel specialization approach to DSL modeling tools introduced by authors. The main idea of metamodel specialization is that we, at first, define the Universal Metamodel (UMM) for a domain and then for each use case define a Specialized Metamodel. But for use in our new domain the specialization concept will be extended: we add a functional specialization where invoking an additional custom program at appropriate points of Core tool is supported.

yearjournalcountryeditionlanguage
2020-01-01
https://doi.org/10.1007/978-3-030-57672-1_16