Supplemental Material for Emerging Trends in Collaborative Modelling: A Survey

Stephan, Matthew

View/Open

An archive of all the data as a website. To view it as a website, unzip the file, and open index.html (167.3Kb)

A website displaying all articles of primary studies we included in our survey. It includes bibtex and abstracts. (227.0Kb)

A website displaying all articles of primary studies published in 2012 or later that we included in our survey. It includes bibtex and abstracts. (133.0Kb)

The raw data containing all text found in the abstracts from all articles (all time). (99.95Kb)

The raw data containing the word cloud data (occurrence data) of the text found in the abstracts from all articles (all time). (28.95Kb)

The raw data containing all the non-concept and context establishing words we removed from the word clouds for text found in the abstracts from all articles (all time). (769bytes)

The raw data containing all text found in the abstracts from all articles published from 2012 until 2017, inclusively. (50.99Kb)

The raw data containing the word cloud data (occurrence data) of the text found in the abstracts from all articles published from 2012 until 2017, inclusively. (19.81Kb)

The raw data containing all the non-concept and context establishing words we removed from the word clouds for text found in the abstracts from all articles published from 2012 until 2017, inclusively. (792bytes)

Author

Stephan, Matthew

Metadata

Show full item record

Abstract

This entry contains the supplemental material and data for our paper Emerging Trends in Collaborative Modelling: A Survey. Paper abstract: Just as in other engineering disciplines, software engineering is well suited to collaboration; Having different perspectives and diverse experiences strengthens engineering projects. Software modeling is a fundamental aspect of software engineering and is becoming increasingly collaborative. Collaborative modeling approaches are maturing and related research is growing significantly. While surveys exist on collaborative modeling tools and research, they are aimed at academics and can be verbose. In this article, we conduct a research survey intended to provide practitioners and researchers an accessible and abstract at-a-glance perspective of emerging trends and directions in collaborative modeling. We complete a systematic literature review, which we crosscheck with existing surveys. To explicate trends in the last five complete years and overall trends, we perform concept extraction and domain analysis by analyzing abstracts. We visualize these trends in word clouds and trend charts, and provide insights. We hope this article helps spread awareness of collaborative modeling trends and future directions, and educates practitioners and researchers.