Description

Real-world software systems are becoming increasingly complex and pervasive. Consider application domains such as enterprise computing (e.g., data-processing/AI systems), business information systems (e.g., web portals), cyber-physical systems (e.g., automotive software), systems software (e.g., operating system kernels), or mobile software and software ecosystems (e.g., Android apps). All these domains boast software systems of unprecedented complexity, many of which are long-living and exist in many different variants. As such, these software systems require dedicated planning, modelling, design, realization, and advanced analysis techniques presented in this course.

Program

Software Engineering bachelor`s degree Program

Objectives

• Explain the challenges of engineering complex systems, explain the industrial practice of complex systems engineering, provide examples of complex systems and explain their realization, explain concepts and processes for engineering complex systems.
  Perform domain engineering, model a system from different perspectives (e.g., using feature models, UML diagrams or architecture description languages), analyze a given industrial case study for a complex system (e.g., commonality, variability analysis, model/code analysis)
  Analyze existing systems and discuss possible improvements or re-engineering potential, also taking economic aspects into account.
  Use tools and methods appropriate for large-scale development projects.
  Analyze the utility of tools and methods for large-scale development within the context of a specific development project.
  Read and analyze scientific literature.