1. Meaningful Modeling: What’s the Semantics of “Semantics”? David Harel, Weizmann Institute of Science Bernhard Rumpe, Technische Universität Braunschweig Presented by: K M Sabidur Rahman Date: Feb 25, 2014 1

2. Outline  Elements of language definition  Syntax  Semantic domain  Semantic mapping  Representation  Metamodeling in UML  Degree of Formality  Doodling Phenomenon  Accommodating the intended audience  Pertinent questions  Summary 2

3. Why “Semantics”? Confusion in definition in formal language Distinction between Syntax and Semantics Influence of assumptions in definition Human factors (People gets confused) This paper tries to clarify some concepts regarding Syntax and Semantics; their differences and other issues focusing on Unified Modeling Language (UML). 3

4. Elements of a Language Definition Formal: Data is used in communication Informal: Syntactic representation of Data Mapping: Interpretation which assigns a meaning to each piece of Data 4

5. Example of Confusion Two pieces of data with same information -June 20, 2000 -The last day of the first spring in the second millennium 5

6. Example of Confusion Single data with multiple meaning - John’s Birthday * Depends on John who? 6

7. Elements of a Language Definition Language consists of: Syntactic notation – infinite set of legal elements Meaning of these elements – Semantic Domain Mapping between Syntax and semantic domain 7

8. Syntax Can be - words Sentences Statements Boxes Diagrams Terms Models Clauses Modules 8

9. Syntax Textual Language – linear character sequences Diagrammatic language - lines, arrows, curves and boxes -More intuitive/expressive than textual language -Harder to express formally 9

10. Syntax 10

11. Syntax What does really “+” means? Who said that read() is reading something as in English! *Language must be clear and rigid about it’s rules and their meaning. 11

12. Wrong ways to view semantics Semantics is the metamodel Semantics is the semantic domain Semantics is the context conditions Semantics is dealing with behavior Semantics is being executable Semantics is the behavior of a system Semantics is the meaning of individual constructs Semantics means looking mathematical Semantics is ________ * not all languages specify behavior, and not all those that do so are (or need to be) executable 12

13. Semantic Domain A language’s semantics must provide the meaning of each expression, and that meaning must be an element in some well-defined and well-understood domain. Often confused with behavior Serves as an abstraction of reality, capturing decisions about the kinds of things the language should express Prerequisite to comparing semantic definitions. Independent of the notation Description can be from plain English to rigorous mathematics 13

14. Semantic mapping A sound language definition must relate the syntactic expressions to the semantic domain elements so that each syntactic creature maps to its meaning. Can be explained by examples and plain English Or more formally Semantics are compositional; the meaning of a composite creature being fully based on the meanings of its parts 14

15. Arithmetic Expressions Semantic Domain, S : all natural numbers Semantic mapping, M : Obvious interpretation: Agreed on interpretation: 15

16. Dataflow Diagrams 16

17. Representation Layers of representation (textual languages): A set of characters forms an alphabet. Groups of characters form words. A third layer groups these words into sentences or expressions A fourth and final layer constrains the sentences by imposing context conditions, for example, that variable use be consistent with variable types. 17

18. Representation Layers of representation (visual languages): create the first layer with two kinds of basic topological elements: open and closed line segments specialize these elements geometrically into several kinds of lines and closed shapes—arrows, straight lines, splines, boxes and circles, and so on—with various line styles and colors arrange the geometric shapes into diagrams by first making topologically meaningful combinations using connectivity, insideness, partitioning and intersection, and the like and then laying these out geometrically in a 2D or 3D diagram create the fourth layer by imposing context conditions for the set of legal diagrams. 18

19. Representation 19

20. Metamodeling in UML Official UML definitions use the class diagram approach in a recursive, bootstrapping fashion: metamodeling. Benefit is the user doesn’t need to learn a new external notation But, this only deals with syntax, not semantics. 20

21. Metamodeling in UML The class diagram and Object constraint language used in metamodeling must be defined with Semantics, first. Currently, OMG doesn’t offer complete definition of UML’s true semantics, not even semantic domain. Only discussion on abstract syntax is not enough for developers or vendors. 21

22. Degree of Formality Misconceptions - Textual languages are more formal than Visual languages - Formality means lots of Greek letters and mathematical symbols 22

23. Degree of formality It’s possible to make imprecise statements with a precise, rigorously defined language, but it’s hard to be precise with an imprecise language 23

24. Degree of formality What really matters? -Well defined language -Precise statements - Model’s Detailedness 24

25. The Doodling Phenomenon A mind-set that says diagrams are what an engineer scribbles on the back of a napkin, but the real work is done with textual languages. 25

26. The Intended Audience If the target audience is users, formulas won’t be suitable Language developers and methodologists, would be willing to cope with the notations for semantics. Developers would gather insights into what would be the best form for language concepts. Methodologists would be motivated to use the notation in the interest of discovering how to advise language users. Tool vendors should also be exposed to a rigorous semantics, but they are probably better off with precise descriptions of “how to deal with” instead of the “what” and the “why.” 26

27. Pertinent Questions Does the given formalization capture the intended users’ intuition? Are the context conditions sufficient to ensure that language expressions are consistent and meaningful? Does the notation permit the specification of important semantic domain properties? If analysis techniques or transformations for the language exist, are they sound with respect to the semantics? 27

28. Summary  Elements of language definition  Syntax  Semantic domain  Semantic mapping  Representation  Metamodeling in UML  Degree of Formality  Doodling Phenomenon  Accommodating the intended audience  Pertinent questions 28

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