ACM SIGPLAN International Conference on Software Language Engineering - SLE 2024 (Event)

Activity: Membership/FunctionProgram committee

Description

The ACM SIGPLAN International Conference on Software Language Engineering (SLE) is devoted to the principles of software languages: their design, their implementation, and their evolution. With the ubiquity of computers, software has become the dominating intellectual asset of our time. In turn, this software depends on software languages, namely the languages it is written in, the languages used to describe its environment, and the languages driving its development process. Given that everything depends on software and that software depends on software languages, it seems fair to say that for many years to come, everything will depend on software languages. Software language engineering (SLE) is the discipline of engineering languages and their tools required for the creation of software. It abstracts from the differences between programming languages, modelling languages, and other software languages, and emphasizes the engineering facet of the creation of such languages, that is, the establishment of the scientific methods and practices that enable the best results. While SLE is certainly driven by its metacircular character (software languages are engineered using software languages), SLE is not self-satisfying: its scope extends to the engineering of languages for all and everything.
Period20 Oct 202425 Oct 2024
Event titleACM SIGPLAN International Conference on Software Language Engineering - SLE 2024
Event typeOther
LocationUnited StatesShow on map

Fields of science

  • 102006 Computer supported cooperative work (CSCW)
  • 102016 IT security
  • 102027 Web engineering
  • 502050 Business informatics
  • 102040 Quantum computing 
  • 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
  • 211928 Systems engineering

JKU Focus areas

  • Digital Transformation