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Towards Supporting SPL Engineering in Low-Code Platforms using a DSL Approach

Talkat GPCE 2021 · 2021-10-17..10-18· [developer-experience]
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Presents a non‑intrusive, partially automated pipeline that deduces a platform metamodel from exported models and generates a low‑code DSL (Xtext) plus an integrated variability DSL, implemented with Eclipse EMF, Xtext and ATL. Applied to OMNIA for an order‑management SPL: two‑month effort, domain model produced by platform consultants, and end users create applications with just a few lines of variability code to generate models for import. Limits: whole‑model import and MDE expertise needed, plans to improve metamodel deduction and support finer‑grained integration.

AI-written summary · about

  1. 0:00Intro
  2. 0:28Outline
  3. 1:09Context: No-Code and Low-Code App Platforms
  4. 1:51Motivation: Software Product Line Engineering
  5. 2:38Motivation: Challenges and Contributions (2/2)
  6. 6:01Variability DSL
  7. 6:41Low Code DSL: Deducing the Metamodel
  8. 7:50Low Code DSL: Grammar
  9. 8:31Configuration Process
  10. 9:17Case Study: OMNIA Low-Code Application Platform
  11. 10:22Lessons Learned from the OMNIA Case Study
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