Models@run.time: a Guided Tour of the State-of-the-Art and Research Challenges

Research output: Contribution to journalArticle

View graph of relations Save citation

Authors

Research units

Abstract

More than a decade ago, the research topic \textit{models@run.time} was coined. Since then, the research area has received increasing attention.
Given the prolific results during these years, the current outcomes need to be sorted and classified. Furthermore, many gaps need to be categorised in order to further develop the research topic by experts of the research area but also newcomers. Accordingly, the paper discusses the principles and requirements of models@run.time and the state-of-the-art of the research line. To make the discussion more concrete, a taxonomy is defined and used to compare the main approaches and research outcomes in the area during the last decade and including ancestor research initiatives. We identified and classified 271 papers on models@run.time, which allowed us to identify the underlying research gaps and to elaborate on the corresponding research challenges.

Request a copy

Request a copy

Documents

  • Models@run.time: a Guided Tour of the State-of-the-Art and Research Challenges

    Accepted author manuscript, 2 MB, PDF-document

    Embargo ends: 1/01/50

Details

Original languageEnglish
Number of pages38
JournalSoftware and Systems Modeling
Publication statusPublished - 2019

    Keywords

  • models@run.time, Self-reflection, Causal connection, Systematic Literature Review

Employable Graduates; Exploitable Research

Copy the text from this field...