Collaborative Model-Driven Software Engineering — A systematic survey of practices and needs in industry

TL;DR: This paper explores dependencies between CRs to identify and group dependent inconsistencies and proposes a metamodel that allows dependencies to be expressed and proposes a consistency maintenance and dependency analysis mechanism that uses such a metamodel.

TL;DR: This work developed ReCo, a learning-based recommendation system for suggesting connections in models, which achieves more than 2X improvement in success rate and FRanks, compared to the state-of-the-art modeling assistants.

TL;DR: This systematic literature review consolidates 11 newly proposed security approaches in model-driven engineering for web applications, highlighting their empirical evaluation and threat coverage, with a trend towards aspect-oriented methods and implications for web app security.

TL;DR: The second edition of Dr Bram Oppenheim's established work, like the first, is a practical teaching text of survey methods as mentioned in this paper, which includes interviewing (both clip-board and depth interviewing), sampling and research design, data analysis, and a special chapter on pilot work.

TL;DR: In this article, a review of the available literature and then clubbing the received information with coherent scientific thinking, the authors attempt to gradually build a construct around Likert scale.

TL;DR: Model-driven engineering technologies offer a promising approach to address the inability of third-generation languages to alleviate the complexity of platforms and express domain concepts effectively.