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Lecture Structure
- Further Challenges (01:28:05)
- Challenges (01:22:26)
- Design Paradigm (01:27:09)
- B new design paradigm that recognizes (01:27:09)
- networked distributed and (01:27:09)
- Complexity of Design Flows and Supply Chains (01:24:56)
- interfaces among the supply chain players Several quality (01:24:56)
- specification and system integration difficulties Among the (01:24:56)
- The Need for Integration (01:20:21)
- Other Relevant Disciplines (01:18:26)
- Control Engineering (01:15:43)
- The Establishment and of sound engineering principles to obtain economically software t at is re and on real machines F L Bauer in Bu tun (01:17:23)
- F L Bauer in engineering The application of a systematic disciplined approach to the development operation and maintenance of software that is of engineering to software The study as in lists mu 12 1 (01:17:23)
- IEEE Std 610 12 1990 Looking Beyond For computer scientists software intensive systems is difficult is no news Even at the 1968 NATO Software in recognized he for example a foundation or the systematic creation intensive systems 3 (01:17:23)
- focuses E v (01:15:43)
- System Engineering (01:14:39)
- Involved Disciplines (01:13:22)
- Pervasive Ubiquitous Computing (01:11:01)
- Telecommunication (01:08:55)
- Industrial Automation (01:01:12)
- Medicine Technique (00:57:37)
- Space Missions (00:53:39)
- Avionics (00:51:42)
- Transportation (00:48:21)
- I Safety standards important EN (00:48:21)
- I Very long certification procedures for small (00:48:21)
- Functions (00:46:15)
- Example (00:44:59)
- Automotive (00:38:31)
- III 1 Application Domains (00:37:55)
- III Application Domains (00:37:52)
- Outline (00:36:30)
- Introduction (00:36:30)
- VI Implementation (00:36:30)
- VII Verification Validation (00:36:30)
- VIII Summary and Outlook (00:36:30)
- II 6 Discussion Summary (00:33:08)
- II 6 Discussion (00:32:22)
- II 6 Discussion Summary (00:29:20)
- II 6 Discussion (00:32:19)
- the reactivity real time (00:29:20)
- stopping (00:29:20)
- n We as properties sequence (00:29:20)
- obs aid (00:29:20)
- Model Simulation vs Analytical Solutions (00:27:02)
- Modeling (00:26:22)
- usually by means of structured techniques (00:26:22)
- n model validation structural analysis possibly formal proves of (00:26:22)
- of performance definition 01 markings and (00:26:22)
- n to pf reachability set and (00:26:22)
- of the c Tool all e (00:26:22)
- Petri Net Example Modeling (00:25:53)
- Petri Net Example (00:25:52)
- Modeling (00:25:26)
- usually by means cf structured techniques (00:25:26)
- n model structural analysis possibly formal proves of (00:25:26)
- n to of reachability set and (00:25:26)
- of the Too all e gists (00:25:26)
- Petri Net Example (00:22:43)
- Petri Net Example Modeling (00:21:57)
- Analysis of (00:21:56)
- Petri Net Example Modeling (00:21:08)
- Analysis of (00:20:00)
- Example for the Firing (00:17:31)
- Generalized Stochastic Petri nets (00:15:05)
- Example for the Firing 0fSPNs (00:14:05)
- Stochastic Petri nets (00:13:49)
- Time (00:13:15)
- Transition Firing Rule (00:11:39)
- Standard Petri Nets (00:11:01)
- II 5 2 Generalized Stochastic Petri Nets (00:09:44)
- Model for Active Redundant System (00:09:22)
- II 5 2 Generalized Stochastic Petri Nets (00:09:21)
- Model for Active Redundant System (00:06:39)
- The Phases for Markov Modeling (00:05:21)
- Model design (00:05:21)
- identification of relevant system states (00:05:21)
- n identification of transitions between states (00:05:21)
- Model evaluation (00:05:21)
- II 5 1 Markov Models (00:03:38)
- Markov Models are suitable for modeling of (00:03:38)
- Markov property (00:03:38)
- n The system behavior at any time instant t is independent of (00:03:38)
- II 5 Probabilistic Models (00:02:47)
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