So#ware Engineering & Systems Engineering

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2 So#ware Engineering & Systems Engineering Martin Griss Director, Silicon Valley Campus 2

3 Carnegie Mellon Silicon Valley Established 2002 Heart of high tech ecosystem Education Research Innovation Entrepreneurship 187 MS, PhD students 728 alumni 56 faculty/researchers 3

4 Education Developing Software Leaders Engineering, Business, Entrepreneurs MS Software Engineering MS Software Management MS IT Information networking ECE PhD ECE MS 105 SE/SM MS students 33 INI MS students 6 ECE MS students 40 ECE PhD students 660 SE/SM Alumni 78 INI Alumni 28 faculty, 28 researchers, 13 staff 4

5 Research Mobile computing Voice recognition Security Context-aware applications Human identification Wireless sensors Antennas & MEMS Machine learning, Behavior recognition Disaster Management Managed Reuse Business Reuse Faciliated Reuse Energy Big data Software engineering Architected Reuse Immersion Reality 5 Smart Communities

6 New Directions in Systems Engineering The field is evolving, merging Software and Systems Main message it s no longer old time Systems Engineering Changing under the influence of new technologies and methods, growing needs More systems are software-intensive, connected by networking, enriched by sensors Many HW devices are now programmable, more firmware Systems federate multiple separately developed components, with software and services as glue, impedance matcher Socio-technical systems engineering includes people and organizations as well as software, hardware, networks Multiple ownership, multiple architects, multiple components 6

7 Systems Engineering Today Research, Education, Practice Systems Engineering Process Focus Architecture Cognitive Systems HCI Methods Models Processes Requirements Security Verification & Validation Collaboration Problem, Domain Focus Aerospace Automotive Biosciences Energy Management Intelligent Manufacturing Medical Systems Smart Communities Transportation 7

8 Software-Intensive Systems The engineering of most systems today includes as a key enabler the engineering of the software and the development of software models: Millions of lines of code in life-critical systems Automobiles" Airplanes" BioScience/Pharma systems" Medical devices, eg, pacemakers, defibrilators" Mobile phones" Internet-enabled devices, including home appliances Rigorous software requirements, including Hardware and software component interfaces: SOA, APIs" Reliability, robustness, safety" Usability" Security" Performance" 8

9 Software Systems & Systems Engineering Increasing overlap, due to: Networking, Sensors, Internet of Things, Software/Information/Services Loosely coupled, open, multi-owner, multi-team Software Systems Agile, Lean Code SWEBOK Testing Architecture HCI Model-Based SE Methods Open xxx Processes Requirements Reuse Services, SOA System of Systems UML Verification & Validation Systems Engineering Flexible SE SEBOK SysML 9

10 Research Opportunities Initial focus on areas close to Agile/Lean methods, Models, Open Source, Development of Software Infrastructure for Systems, Software Services, Sample topic areas: Modeling languages (eg, SysML), executable simulations, and even system component and interoperation code generation Applicability of Formal Methods (eg, Verification, Model Checking) to such models Can Domain-specific problem languages be built on common core, such as UML/ SysML? How do multiple, distinct, domain-specific languages interoperate - common core and/or cross-mapping (eg, ontologies )? Use of Lean and Agile approaches in large scale systems? How can Cognitive Systems Engineering be incorporated to create Intelligent Socio-Technical Systems? Unifying social, physical, and systems modeling 10

11 Next Steps Options A new Course or Concentration in the MS Software Engineering Introduction to System Engineering for Software Engineers A new MS Degree: Software-Intensive Systems Engineering, leveraging our Software Engineering program A new PhD Degree: in Software-Intensive System Engineering What else? 11