MODRE Workshop @ RE 2022 - 12th International Model-Driven Requirements Engineering Workshop - co-located with RE (Event)

Activity: Membership/FunctionProgram committee

Description

The 12th International Model-Driven Requirements Engineering (MoDRE) workshop continues to provide a forum to discuss the challenges of Model-Driven Development (MDD) for Requirements Engineering (RE). Building on the interest of MDD for design and implementation, RE may benefit from MDD techniques when properly balancing flexibility for capturing varied user needs with formal rigidity required for model transformations as well as high-level abstraction with information richness. MoDRE seeks to explore those areas of RE that have not yet been formalized sufficiently to be incorporated into an MDD environment as well as how RE models can benefit from emerging topics in the model-driven community, such as flexible, collaborative, and AI-enabled modeling. We would like to explore how MoDRE can benefit from research methods and techniques used in other disciplines, such as sociology, as well as how MoDRE can help to ensure human values, ethics, sustainability, equality, and fairness in software systems. We look forward to identifying new challenges for MoDRE, discussing on-going work and potential solutions, analyzing the strengths and weaknesses of MDD approaches for RE, fostering stimulating discussions on the topic, and providing opportunities to apply MDD approaches for RE.
Period16 Aug 2022
Event titleMODRE Workshop @ RE 2022 - 12th International Model-Driven Requirements Engineering Workshop - co-located with RE
Event typeOther
LocationAustraliaShow on map

Fields of science

  • 102006 Computer supported cooperative work (CSCW)
  • 102016 IT security
  • 102027 Web engineering
  • 502050 Business informatics
  • 102020 Medical informatics
  • 502032 Quality management
  • 503015 Subject didactics of technical sciences
  • 102022 Software development
  • 102034 Cyber-physical systems
  • 102015 Information systems
  • 509026 Digitalisation research

JKU Focus areas

  • Digital Transformation