Beyond Code: An Introduction to Model-Driven Software Development (CISC 836, Winter 2020)
These are the webpages for last year's version (Winter 2020) of the course. For this year's version (Winter 2021), go here.
Instructor: Juergen Dingel, Goodwin Hall 723, dingel@cs, office hours: tba
Time and place
Tuesday and Thursday at 10-11:30am. The Tuesday location is Biosciences Room 1120. The Thursday location is Goodwin Hall Room 247. The first meeting is on Tuesday January 7 at 10am in Biosciences Room 1120.
This course is suitable for students with an interest in the theory and practise of software development in general and the use of models in software development in particular.
Models are pervasive in engineering. The impact of models on the practise of software engineering, however, has been relatively limited and pales in comparison to the pivotal roles models play in other engineering disciplines. The idea of making models a more prominent artifact in everyday software development has been enjoying increasing support in academia and industry and many approaches, tools and standards have been proposed. Indeed, in some industries (e.g., automotive) development already revolves around the use of models.
This course will present some of the key ideas, potential benefits and challenges of software modeling in general and of model-driven software development (MDSD) in particular. Specific attention will be paid to the use of MDSD for event-based, reactive systems.
At the end of the course, students will be familiar with the state of the art in software modeling and have gained some critical understanding of the theory and practice involving the use of models for software development.
The goals of this course are to
The course will combine lectures, assigned readings, assignments, and a project. The course will cover the topics described on the Content page. The assigned readings will be drawn from the research literature and reinforce the lecture material. The projects will serve to, e.g., provide hands-on experience with a specific tool or technology.
A student's overall mark will be computed as follows:
Good knowledge of object-oriented programming (preferably in Java or C++).
Last modified: Thu Nov 30 11:47:14 EST 2017