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250 Data Part of POOSL is defined by 22 axioms (1) ¡ ¡ (22) and 7 rules (a) ¡ ¡ (g). The complete collection of axioms and rules is given in Section A.1. In this subsection we will select a number of axioms and rules and we will explain them informally. In Subsection 8.5.4 axioms (21) and (22), both dealing with primitive deepCopy messages, are explained in detail. (1) Object creation new (C)¥ ¡ ¥ s¥ if Sys ¡ ¥ Sys £ ¢ n¥ ¡ ¡ ¥ s¥ CD1 ¡ ¡ CDj ¡ ¡ CDl and ¡ ¡ ¥ Sys CDj data class C instance variables x1 ¡ ¡ xp instance methods ¡ ¡ £ ¢ £ © n¦ Dom(£ ¡ ¡ MaxId(¡ where , ) n ) 1 and ¡ £ ¡ ¥ ¦ £ ¡ £ x1¥¡ © xp , (xi) nil , C ¢ ¡ n¦ Axiom (1) describes the behaviour of the new(C) expression. The condition of the axiom states that the expression can only be evaluated if there exists a data class, named C, in Sys. Here we have used symbol to denote syntactic identity. Upon creation of an instance of class C a new object identifier ¢ n is calculated. n equals the greatest object identifier number contained ¡ in plus (MaxId(¡ one ) 1). Further a new £ environment , storing the values of the instance variables ¥¡ ¡ ¡ ¥ x1 xp, is created. Each of these instance ¡ ¡ variables is initialised to nil. Environment £ is then assigned to object identifier ¢ n in variables ¡ state to ¡ ¡ (¡ ¡ ¡ obtain type ¡ to yield ¡ ¡ ( ¡ £ object identifier ¢ n. (2) Assignment to instance variables x : ¤ ¥ ¡ ¥ s¥ if ¡ s ¡ ¡ 0 ¡ ¡ ¡ C© £ £ © ¢ n¦ ). Further class name C is assigned to ¢ n in ¢ n¦ ). The result of the new(C) expression is the newly created ¥ Sys £ ¤ ¥ ¡ ¡ ¥ s¥ ¡ ¥ Sys £ ¡ ¡ ¡ (¢ ¡ where ) £ ¦ © ¢¨¦ and ¢ (top(s))(1) ¤ ©¢¡ (c) Assignment to instance variables E e ¥ ¡ ¥ s¥ x : E e ¥ ¡ ¥ s¥ ¡ ¥ Sys £ ¡ ¥ Sys £ E e ¡ ¥ ¡ ¡ ¥ s¡ ¥ ¡ ¡ ¥ Sys x : E e ¡ ¥ ¡ ¡ ¥ s¡ ¥ ¡ ¡ ¥ Sys Both axiom (2) and rule (c) concern the assignment to instance variables. Consider configuration x : Ee ¡ ¥ s¥ ¥ Sys ¥ ¡ . If the evaluation of extended expression Ee is not finished yet, then rule (c) can possibly be applied to carry out a next evaluation step. Rule (c) states that if the one-step evaluation of Ee ¡ ¥ s¥ ¥ Sys ¥ ¡ leads to Ee ¡ ¡ ¡ ¥ s¡ ¥ ¡ ¥ Sys ¡ ¥ , then the one-step execution of x : Ee ¡ ¥ s¥ ¥ Sys ¥ ¡ leads to x : Ee ¡ ¡ ¡ ¥ s¡ ¥ ¡ ¥ Sys ¡ ¥ ¡ . Notice that state , stack s and type ¡ may change as a result of this step. If rule (c) cannot be applied to x : Ee ¡ ¥ s¥ ¥ Sys ¥ ¡ , then configuration Ee ¡ ¥ s¥ ¥ Sys ¥ ¡ is either stuck or terminal. If it is stuck then configuration x : Ee ¥ s¥ ¥ Sys ¥ ¡ is also ¡
8.5 A Computational Semantics 251 stuck and the execution of the assignment statement can not be finished. If it is terminal, then Ee is of the ¤ form ¤ where is either a primitive object or an identifier of a nonprimitive object. In this case axiom (2) applies and the actual assignment can be carried out. In the application of this axiom the ¢ owner of instance variable x, is retrieved. is the first component of the local variable environment located at the top of stack s ¢ (top(s))(1)) and is either a non-primitive data object or proc. In the latter case, x is (¢ owned by a process object that is executing the assignment statement. If stack s is not (¡ empty ¡ ¡ s 0) ¢ and is ¤ retrieved, is assigned to instance variable x ¢ of in variables £ (¡ ¡ ¡ ¡ (¢ ¡ state ) £ x¦ © ¢¨¦ ). ¤ © The last axioms and rules we will address in this paragraph concern the handling of a method call. (8) Method call if ¥¡ £¢ m( ¤ 1 ¥¡ ¡ ¡ ¥ ¤ k )¥ ¡ ¥ s¥ ¡ ¤§¦©¨ ¥¤§¦ ¡ ¥ Sys £ E¥ ¡ ¥ s¡ ¥ ¡ ¥ Sys ¤§¦ ¡ ¡ ¡ ¡ ¡ ¡ ¡ ¡ ¡ ¡ ¡ (¡ ¥ ¡ ¡ m(u1¥¡ ¡ ¡ ¡ ¡ 1 , CDj data class C MD1 MD MDl , C ) and MD uk) v1 vn E where s¡ push(e¥ s) , e (e) Method execution E e ¥ ¡ ¥ s¥ E e ¥ ¡ ¥ s¥ (9) Returning the result where s¡ if ¡ s ¡ ¡ 0 §¤ ¥ ¡ ¥ s¥ pop(s) ¡ ¡ ¥ Sys £ ¡ ¥ Sys £ ¥ Sys £ Consider the configuration ¡ ¥ ¤ , ¤ (ui) ¤ i and ¤ (vj) nil E e ¡ ¥ ¡ ¡ ¥ s¡ ¥ ¤ ¥ ¡ ¥ s¡ ¥ ¡ ¥ Sys ¡ ¡ E e ¡ ¥ ¡ ¡ ¥ s¡ ¥ ¡ ¥ Sys ¡ ¥ Sys m( 1 ¥¡ ¡ ¡ ¥ ¤ k )¥ ¡ ¡ ¥ s¥ ¡ ¤ parameters ¡ ¡ ¤ 1 k is to be sent to non-primitive ¡ object . Stated otherwise, method ¤ m ¡ of object has to be called ¤ with ¡ ¡ ¤ parameters 1 k . To this end, first the method definition of m in Sys has to be retrieved. For this, the class name C ¡ of object is required. This name is stored in ¡ ¡ ¡ at (¡ position (C ). Using C and m, the method definition ¡ ¡ ¥ MD ¡ uk) ¡ ¡ v1 ¡ vn E of m is uniquely determined (if it exists). Upon m(u1¥¡ the call of m a new local variable environment e ¥ Sys indicating that message m with stack (s¡ push(e¥ s s)). ¡ Here denotes the data object that has to execute method ¤ m. stores the values of the local variables and parameters of this object. ¤ In each of the ¡ ¥ ¤ is created and pushed on top of method parameters ui is bound to ¤ i (¤ (ui) ¤ i) and each of the local method variables (¤ vj is bound to nil (vj) nil). The resulting configuration is ¡ ¡ ¥ s¡ ¥ ¥ Sys E¥ , where E is the body of method m. E indicates that expression E still remains to be evaluated as part of the execution of method m.
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Specification of Reactive Hardware/
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to Leny, Inge and our parents
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Contents Acknowledgements v 1 Intro
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CONTENTS ix 4.6.5 Aggregate Semanti
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CONTENTS xi 6 Modelling of Concurre
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CONTENTS xiii 6.6.7.2 System Specif
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CONTENTS xv 11.4.2.3 Requirements C
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List of Figures 1.1 Chapter Overvie
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LIST OF FIGURES xix 6.16 Strongly D
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Chapter 1 Introduction 1.1 Objectiv
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1.1 Objectives 3 understood and sti
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1.1 Objectives 5 Informal and Forma
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1.2 Thesis Organisation 7 Chapter 1
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1.2 Thesis Organisation 9 Recommend
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Chapter 2 On Specification of React
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2.3 Specifications, Models and View
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2.4 Specification Languages, Formal
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2.4 Specification Languages, Formal
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2.5 Modelling Concepts 23 entirety.
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2.5 Modelling Concepts 25 Tradition
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2.6 Activity Frameworks for Specifi
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2.6 Activity Frameworks for Specifi
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2.7 Summary 31 offer many guideline
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Chapter 3 Concepts for Analysis, Sp
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3.3 Concepts 35 3. creation of a sy
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3.5 Combining Compatible Concepts 3
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3.6 Practical Use of Concepts 39 3.
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3.6 Practical Use of Concepts 41 Th
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3.6 Practical Use of Concepts 43 ac
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3.6 Practical Use of Concepts 45 ac
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3.6 Practical Use of Concepts 47 wa
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3.6 Practical Use of Concepts 49 Ge
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3.6 Practical Use of Concepts 51 Re
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3.7 Summary and Concluding Remarks
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Chapter 4 Abstraction of a Problem
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4.1 Introduction 57 earlier phase t
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4.2 Objects 59 An object can mean t
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4.2 Objects 61 wonder what other ob
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4.3 Classes 63 A message interface
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4.3 Classes 65 Class B Attributes M
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4.4 Data Objects and Process Object
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4.5 Clusters 79 flows. Clusters ena
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4.6 Aggregates 81 Therefore a compl
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4.6 Aggregates 83 4.6.4 Clustered A
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4.6 Aggregates 85 An old philosophi
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4.7 Identity and Object Identifiers
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4.8 Properties of Composites 89 for
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4.8 Properties of Composites 91 com
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4.8 Properties of Composites 93 Whe
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4.8 Properties of Composites 95 In
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4.9 Channel Hiding 97 Servant A Sup
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4.11 Composites and Hierarchies 99
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4.12 Object Variety 101 Part class
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4.13 Object Class Models 103 Anothe
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4.13 Object Class Models 105 of obj
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4.14 Attributes and Variables 107 c
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4.14 Attributes and Variables 109 4
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4.15 Operations, Services, Methods
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4.15 Operations, Services, Methods
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4.17 Summary 115 Accidental Propert
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Chapter 5 Concepts for the Integrat
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5.2 Architecture 119 Requirements D
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5.3 Design Philosophy 121 this. The
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5.4 Essential Model and Extended Mo
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5.4 Essential Model and Extended Mo
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5.6 Architecture and Implementation
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5.7 Views 129 Management £ £ £ P
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5.7 Views 131 Behaviour Behaviour U
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5.8 Boundaries 133 5.8 Boundaries 5
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5.8 Boundaries 135 x x Object A y z
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5.8 Boundaries 137 x w w x Object A
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5.8 Boundaries 139 In Chapter 10 we
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5.9 Transformations 141 The modific
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5.10 Formalisation 143 Level 1 Leve
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5.11 Summary 145 Behaviour Requirem
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Chapter 6 Modelling of Concurrent R
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6.2 Concurrency and Synchronisation
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6.3 Communication 157 between proce
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6.3 Communication 159 or to transfo
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6.3 Communication 161 6.3.3.4 Messa
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6.3 Communication 163 Synchronous m
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6.3 Communication 165 channel-name
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6.3 Communication 167 can be descri
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6.3 Communication 169 statement aft
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6.3 Communication 171 (normalCourse
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6.3 Communication 173 ∞ client re
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6.3 Communication 175 There is a gr
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6.3 Communication 177 process A pro
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6.3 Communication 179 Clocks An int
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6.3 Communication 181 whether the s
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6.3 Communication 183 6.3.9.4 Model
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6.3 Communication 185 6.3.10.2 Desc
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6.4 Distribution 187 force to take
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6.4 Distribution 189 is that the in
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6.4 Distribution 191 links to each
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6.4 Distribution 193 6.4.6 Distribu
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6.5 Scenarios 195 entities. This su
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6.5 Scenarios 197 startJob readyToA
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Page 221 and 222: 6.6 Dynamic Behaviour 201 selection
Page 223 and 224: 6.6 Dynamic Behaviour 203 processes
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Page 229 and 230: 6.6 Dynamic Behaviour 209 6.6.4 Sep
Page 231 and 232: 6.6 Dynamic Behaviour 211 6.6.5 Mod
Page 233 and 234: 6.6 Dynamic Behaviour 213 to pay at
Page 235 and 236: 6.6 Dynamic Behaviour 215 A method
Page 237 and 238: 6.6 Dynamic Behaviour 217 to happen
Page 239 and 240: 6.6 Dynamic Behaviour 219 c a Multi
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Page 243 and 244: 6.7 Real-Time Modelling 223 claimed
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Page 247 and 248: 6.8 Summary 227 They can graphicall
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Page 251 and 252: 7.2 A Brief Language Characterisati
Page 253 and 254: 7.3 The Role of Semantics 233 7.3 T
Page 255 and 256: 7.4 Mathematical Preliminaries 235
Page 257 and 258: 7.4 Mathematical Preliminaries 237
Page 259 and 260: 7.5 Concluding Remarks 239 0 ¡ Bin
Page 261 and 262: Chapter 8 Data Part of POOSL Chapte
Page 263 and 264: 8.3 Formal Syntax 243 runk, and cun
Page 265 and 266: 8.4 Context Conditions 245 Further,
Page 267 and 268: 8.5 A Computational Semantics 247 T
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Page 273 and 274: 8.6 Primitive deepCopy Messages 253
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Page 277 and 278: 8.7 Example: Complex Numbers 257 is
Page 279 and 280: 8.8 Summary and Concluding Remarks
Page 281 and 282: Chapter 9 Process Part of POOSL Cha
Page 283 and 284: 9.3 Formal Syntax 263 In almost any
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Page 289 and 290: 9.4 Context Conditions 269 We are n
Page 291 and 292: 9.5 A Computational Interleaving Se
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Page 311 and 312: 9.7 The Development of POOSL 291 is
Page 313 and 314: 9.7 The Development of POOSL 293 da
Page 315 and 316: 9.7 The Development of POOSL 295 e
Page 317 and 318: 9.7 The Development of POOSL 297 Em
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9.8 Summary 301 To prepare the deve
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Chapter 10 Behaviour-Preserving Tra
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10.2 Instance Structure Diagrams 30
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10.2 Instance Structure Diagrams 30
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10.3 Some Properties of Transformat
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10.4 A System of Basic Transformati
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10.5 Example: The Elevator Problem
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10.7 On the Fundamental Limitations
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10.7 On the Fundamental Limitations
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10.8 Summary 331 are transformation
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Chapter 11 SHE Framework Chapter 1
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11.2 SHE Context and Phases 335 Inf
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11.2 SHE Context and Phases 337 a p
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11.2 SHE Context and Phases 339 11.
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11.3 SHE Framework 341 the system.
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11.4 Essential Specification Modell
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11.5 Extended Specification Modelli
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Chapter 12 Case Study Chapter 1 Cha
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12.2 Initial Requirements Descripti
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12.3 The Essential Specification 37
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12.4 Towards an Extended Specificat
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12.5 Concluding Remarks 399 i1 DIST
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12.5 Concluding Remarks 401 Feeder
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Chapter 13 Conclusions and Future W
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13.2 P.H.A. van der Putten’s Cont
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13.2 P.H.A. van der Putten’s Cont
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13.4 Related Results 409 The notion
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Appendix A The POOSL Transition Sys
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A.1 The Data Part of POOSL 413 (12)
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A.2 The Process Part of POOSL 415 A
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A.2 The Process Part of POOSL 417 (
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A.2 The Process Part of POOSL 419 (
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A.2 The Process Part of POOSL 421 i
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Appendix B Proofs of Propositions a
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Proofs of Propositions and Transfor
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Appendix C Glossary of Symbols This
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Glossary of Symbols 437 267 Cp ¥¡
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References [AB90] P. America and F.
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REFERENCES 441 [C [C [C 86] B. Cohe
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REFERENCES 443 [Her90] A.J.H. Herbe
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REFERENCES 445 [MV93] S. Mauw and G
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REFERENCES 447 [vE89] P. van Eijk.
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Index abort, 297 abstract action so
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INDEX 451 strong, 190, 293 subsyste
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INDEX 453 delay, 178 do-statement,
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Summary This combined thesis descri
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Samenvatting Dit gecombineerde proe
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Curricula Vitae Piet van der Putten
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