Open AccessOn Designing Recommenders for Graphical Domain Modeling Environments
Author(s) -
Andrej Dyck,
Andreas Ganser,
Horst Lichter
Publication year - 2014
Publication title -
2014 2nd international conference on model-driven engineering and software development (modelsward)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5220/0004701802910299
Subject(s) - computer science , recommender system , domain (mathematical analysis) , graphical user interface , code (set theory) , human–computer interaction , source code , graphical model , software engineering , world wide web , programming language , artificial intelligence , mathematical analysis , mathematics , set (abstract data type)
Recommender systems for source code artifacts are newly emerging and are now successfully supporting programmers. Their underlying knowledge bases, recommender algorithms, and user interfaces are well studied. Integrated into the development environment, they do a fairly good job in reducing complexity and development time.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom