The document discusses various modeling techniques used to model complex software systems, including UML diagrams. It describes different types of UML diagrams like class diagrams, object diagrams, sequence diagrams, and collaboration diagrams. It explains concepts like classes, associations, generalizations, aggregations, and interfaces. It provides examples of how these diagrams can be used to model different types of relationships between classes and objects.
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08 class and sequence diagrams
1. INTROSE Introduction to Software Engineering Raymund Sison, PhD College of Computer Studies De La Salle University [email_address] Modeling Software Systems
2. How do we model complex systems? Epistemology Knowledge about Causality (Dynamic Model) Describes our knowledge about the system Knowledge about Functionality (Functional model) Knowledge about Relationships (Object model) From (Bruegge & Dutoit, 2004) Neural Networks DataFlow Diagrams (SA/SD) Scenarios/Use Cases (Jacobsen) Formal Specifications (Liskov) Petri Nets(Petri) Inheritance Frames,SemanticNetworks (Minsky) Uncertain Knowledge Fuzzy Sets (Zadeh) Data Relationship (E/R Modeling, Chen) Hierarchical Database Model (IMS) Network Database Model (CODASYL) Relational Database Model (Codd) Fuzzy Frames (Graham) Class Diagrams (“E/R + Inheritance”, Rumbaugh) Sequence Diagrams (Lamport) Activity Diagrams (“good old Flowcharts”)
3. How do we model complex systems? Epistemology Knowledge about Causality (Dynamic Model) Describes our knowledge about the system Knowledge about Functionality (Functional model) Knowledge about Relationships (Object model) From (Bruegge & Dutoit, 2004) Neural Networks DataFlow Diagrams (SA/SD) Scenarios/Use Cases (Jacobsen) Formal Specifications (Liskov) Petri Nets(Petri) Inheritance Frames,SemanticNetworks (Minsky) Uncertain Knowledge Fuzzy Sets (Zadeh) Data Relationship (E/R Modeling, Chen) Hierarchical Database Model (IMS) Network Database Model (CODASYL) Relational Database Model (Codd) Fuzzy Frames (Graham) Class Diagrams (“E/R + Inheritance”, Rumbaugh) Sequence Diagrams (Lamport) Activity Diagrams (“good old Flowcharts”)
30. How do we model complex systems? Epistemology Knowledge about Causality (Dynamic Model) Describes our knowledge about the system Knowledge about Functionality (Functional model) Knowledge about Relationships (Object model) From (Bruegge & Dutoit, 2004) Neural Networks DataFlow Diagrams (SA/SD) Scenarios/Use Cases (Jacobsen) Formal Specifications (Liskov) Petri Nets(Petri) Inheritance Frames,SemanticNetworks (Minsky) Uncertain Knowledge Fuzzy Sets (Zadeh) Data Relationship (E/R Modeling, Chen) Hierarchical Database Model (IMS) Network Database Model (CODASYL) Relational Database Model (Codd) Fuzzy Frames (Graham) Class Diagrams (“E/R + Inheritance”, Rumbaugh) Sequence Diagrams (Lamport) Activity Diagrams (“good old Flowcharts”)
45. Sequence Diagram a : Assembly part : CatalogEntry getNumber() count(part) return number Lifeline Activation(optional) Messages control returns to the sender of the message (optional) : Client