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[ INMAWKVPLEN ] KV Product Line Engineering
Versionsauswahl
Es ist eine neuere Version 2022W dieser LV im Curriculum Master's programme Computer Science 2024W vorhanden.
Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS M2 - Master's programme 2. year Computer Science Rick Rabiser 2 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Computer Science 2013W
Objectives Within the lecture students will learn about important methods and tools of product line engineering. Part of the lecture is the practical use of product line tools and the analysis of product line case studies.
Subject Decision modelling, feature modelling, orthogonal variability models, product line engineering, architecture variability and component based software development. Process framework for product line engineering, economic aspects of product lines. PL tools.
Criteria for evaluation (criterion 1) 3 exercises (including group work in the lectures and presentations) + participation over the semester: 50% (criterion 2) 1 written final exam: 50% Both criteria have to be completed with a positive mark to get a positive overall mark
Language English
Study material P. Clements and L. Northrop, Software Product Lines: Practices and Patterns: SEI Series in Software Engineering, Addison-Wesley, 2001.

K. Pohl, G. Böckle, and F. van der Linden, Software Product Line Engineering: Foundations, Principles, and Techniques: Springer, 2005.

F. van der Linden, K. Schmid, and E. Rommes, Software Product Lines in Action - The Best Industrial Practice in Product Line Engineering: Springer Berlin Heidelberg, 2007.

Changing subject? No
Further information http://www.jku.at/sea/content/e104861/
On-site course
Maximum number of participants -
Assignment procedure Direct assignment