1. CS 290C: Formal Models for Web Software Lectures 13: Choreography Modeling with Message Sequence Charts and Collaboration Diagrams Instructor: Tevfik Bultan

2. Formal Models for Choreography and Orchestration Existing modeling formalisms for behavior and interaction modeling have been applied to modeling of choreography and orchestration Some examples are: –Use of message sequence charts (UML sequence diagrams) for choreography modeling –Use of UML collaboration diagrams for choreography modeling – Use of process algebras for orchestration modeling –Use of Petri nets for orchestration modeling

3. Modeling and Analysis Typically this type of modeling languages are supported by analysis and verification tools So using these modeling languages for choreography or orchestration specification also leads to analysis and verification tools

4. Using Message Sequence Charts for Choreography An MSC shows a particular sequence of messages exchanged between a number of processes (or objects) MSCs show behavior by showing the ordering of message exchanges –This is also what we expect a choreography specification to do

5. MSCs An MSC shows the ordering of message send and receive events The lifeline represents the time flow and time progresses from top of the page to the bottom of the page MarketPlaceBuyerSeller offerProduct requireProduct Lifeline Message send Message receive

6. MSC extensions MSCs can be extended with more constructs to specify conditional or iterative behavior

7. Sequence Diagrams Focus of control (or activation) can be shown in sequence diagrams as a thin rectangle put on top of the lifeline of an object Shows the period of time during which the given object is in control of the flow –From an implementation point of view, you can think of it as showing how long an activation record stays in the control stack It is optional to use focus of control rectangles in a sequence diagram –use it when it adds to clarity :ProductOrder:StockItem check() :Order *prepare() Iteration [check=“true”] remove() message condition focus of control or activation lifeline

8. MSC Frames BankAccountDBClient withdrawal requestBalance balance alt [balance>=withdrawal] [else] updateAccount insufficientFund Frames can be used to specify conditional behavior (as seen in the example), loops, optional behavior etc. in sequence diagrams

9. MSC Realizability The realizability problem we mentioned for conversation protocols also exist for MSCs An MSC may not be realizable, –There may not be any possible implementation for the peers that strictly conform to the event orderings given by the MSC specification

10.   ABDC MSC Realizability An unrealizable MSC

11. MSC Realizability There are some results that show that –Realizability of MSCs can be determined –For unrealizable MSCs one can determine the implied scenarios when added to the MSC specfication, makes the set of MSCs realizable

12. MSCs and Implied Scenarios The scenario specified by one of these MSCs implies the scenario specified by the other one MarketPlaceBuyerSeller offerProduct requireProduct MarketPlaceBuyerSeller offerProduct requireProduct

13. MSCs and MSC graphs MSCs are useful for visualizing message exchanges However, sometimes a single MSC may not be able to express all possible interactions There are generalizations of MSCs which allow combination of MSCs as nodes in a graph –Individual MSCs are joined with transitions –When two MSCs are joined with a transition, this means that after the interaction in the source MSC is finished the interactions in the destination MSC will be executed

14. AB   AB   MSC graphs An MSC vs an MSC graph –MSC graphs can specify infinite sequences of interactions –For some versions of the MSC graphs the realizability problem is undecidable

15. MSCs and Choreography MSCs can be a useful tool for specification of choreographies After writing some MSC specifications for a choreography, we can use automated analysis techniques for MSCs to determine the implied scenarios –This analysis will identify any interaction sequences that are not yet specified but implied by the existing specification

16. MSC Realizability Earlier work on realizability of MSCs and MSC extensions can be applied to choreography analysis If a choreography is specified using an MSC, then these results can be applied to the MSC specification to determine the realizability of the MSC specification

17. An Analysis Tool: LTSA-WS LTSA-WS is a model based web service analysis tool Supports: –Specification of choreographies using MSCs –Specification of orchestrations in a process algebra called FSP –Supports BPEL to FSP translation –Supports synthesis of FSP specifications from MSCs –Allows the developer to check the correspondence between the BPEL specification and the MSC specification

18. Choreography specification with Collaboration Diagrams It is also possible to use collaboration diagrams for specification of choreographies Collaboration diagrams also specify interactions among processes but they provide a different perspective compared to MSCs

19. Example Sequence Diagram :ProductOrder:StockItem check() :Order *prepare() [check=“true”] remove() :OrderEntryWindow prepare() :ReorderItem :DeliveryItem needsToReorder() > [check=“true”] > [needsToReorder=“true”]

20. Corresponding Collaboration Diagram :ProductOrder:StockItem :Order :OrderEntryWindow :ReorderItem :DeliveryItem 1:prepare() 1.1:*prepare() 1.1.1:check() 1.1.2:[check==true]remove() 1.1.2.1:needsToReorder() 1.1.2.2:new 1.1.3:[check==true]new message object link sequence number Sequence numbers are used to show the time ordering among the messages

21. Collaboration Diagrams and Choreography Collaboration Diagrams can also be used as a visual choreography specification language Moreover, collaboration diagrams can be converted to state machine models and analyzed

22. An Example Assume four peers (individual services): –Customer, Store, CDSupplier, BookSupplier Workflow: –Customer sends an order to the Store –Store checks the availability of the CDs and the books in the order by sending a cdInquiry message to CDSupplier and a bookInquiry message to BookSupplier –CDSupplier and BookSupplier send the cdAvailability and bookAvailibility back to the Store –Store sends orderReply to the Customer

23. A Model for Composite Web Services A composite web service consists of –a finite set of peers Customer, Store, CDSupplier, BookSupplier –and a finite set of messages Customer  Store: order Store  CDSupplier: cdInquiry Store  BookSupplier: bookInquiry CDSupplier  Store: cdAvailability BookSupplier  Store: bookAvailability Store  Customer: orderReply

24. Specifying Conversations There are lots of allowed conversations: There are also lots of un-allowed conversations: cdInqordercdAvail … bookInqorderbookAvail bookInqordercdInq … orderbookInq … … cdAvailordercdInq bookInqordercdAvail cdInqbookInqcdAvail … … …

25. 1:order :Store :CDSupplier :Customer :BookSupplier A2,B2/2:orderReply 1/A1:cdInquiry A2:cdAvailability 1/B1:bookInquiry B2:bookAvailability Specifying Conversations via Collaboration Diagrams message sequence label must precede

26. More On Collaboration Diagrams sequence label must precede A2, B2 / 2 : orderReply message asynchronous communication synchronous communication cdInquiry [has CD] conditional send order * iterative send

27. 1:order 1/A1:cdInquiry A2:cdAvailability 1/B1:bookInquiry B2:bookAvailability A2,B2/2:orderReply Dependency Among Message Send Events Message send events are ordered based on two rules –Implicit: The sequence labels that have the same prefix must be ordered based on their sequence number –Explicit: The events listed before “/” must precede the current event initial event final event

28. A1:cdInquiry B1:bookInquiry {1,2,A1,A2,B1,B2} {2,A1,A2,B1,B2} 1:order {2,A2,B1,B2}{2,A1,A2,B2} {2,B1,B2} {2,A1,A2} A2:cdAvailability {2,A2,B2} B1:bookAvailability {2,B2} {2} B2:bookAvailabililty {2,A2} 2 : orderReply  A1:cdInquiry B1:bookInquiry B2:bookAvailability A2:cdAvailability B2:bookAvailability Automata (Conversation Protocol) Construction 1:order 1/A1:cdInquiry A2:cdAvailability 1/B1:bookInquiry B2:bookAvailability A2,B2/2:orderReply 1:order :Store :CDSupplier :Customer :BookSupplier A2,B2/2:orderReply 1/A1:cdInquiry A2:cdAvailability 1/B1:bookInquiry B2:bookAvailability

29. Store CDSupplier ?cdInquiry !cdAvailability !cdInquiry !bookInquiry ?order ?cdAvailability !cdInquiry !bookInquiry ?cdAvailability !bookInquiry ?bookAvailability !cdInquiry ?cdAvailability !orderReply BookSupplier ?bookInquiry !bookAvailability Customer !order ?orderReply Implementation with Finite State Machines

30. Realizability of Collaboration Diagrams Not all collaboration diagrams are realizable! It is possible to specify interactions that cannot be realized by any peer implementation This is a problem! –Assume that we want to specify how several services should interact with each other –If we write a specification that is not realizable the implementation will not be faithful to the specification no matter what we do

31. :Customer:Store 1:order :Shipping:Depot 2:ship Realizability of Collaboration Diagrams :Customer:Store 1:order :Shipping:Depot 3:ship 2:orderInfo RealizableNot Realizable

32. Realizability of Collaboration Diagrams RealizableNot Realizable :Customer:Store :Accounting 2:bill 1:order :Customer:Store :Accounting 3:bill 1:order 2:orderInfo

33. A Sufficient Condition for Realizability We call a send event e well informed –If e is an initial event –Otherwise, let e’ be an immediate predecessor of e If e’ is a synchronous send or not conditional or iterative –sender for e should be either the receiver or sender for e’ If e is an asynchronous send and conditional or iterative –sender for e should be the sender for e’, –e should not be conditional or iterative, –e and e’ should not send the same message A collaboration diagram is realizable if all its events are well-informed

34. :Customer:Store 1:order :Shipping:Depot 2:ship Realizability of Collaboration Diagrams :Customer:Store 1:order :Shipping:Depot 3:ship 2:orderInfo RealizableNot Realizable this send event is not well-informed

35. Realizability of Collaboration Diagrams RealizableNot Realizable :Customer:Store :Accounting 2:bill 1:order :Customer:Store :Accounting 3:bill 1:order 2:orderInfo this send event is not well-informed

36. Collaboration Diagram Extensions Collaboration Diagram Sets –The conversation set if the union of the conversation sets of each collaboration diagram in the collaboration diagram set Collaboration Diagram Graphs –Conversation set is obtained by concatenating the conversation sets of different collaboration diagrams according to the collaboration diagram graph

37. Collaboration Diagram Sets Collaboration diagram sets are more expressive than individual collaboration diagrams :P:Q 1:x 2:y :P:Q 2:x 3:y 3:z 1:z This collaboration diagram set specifies a set of interactions that cannot be specified by any single collaboration diagram P  Q: x P  Q: y P  Q: z P  Q: x P  Q: y Corresponding conversation protocol

38. :P:Q 1:x 2:y P  Q: x Q  P: y  Collaboration Diagram Graphs Collaboration diagram graphs are more expressive than collaboration diagram sets This collaboration diagram graph specifies a set of interactions that cannot be specified by any collaboration diagram set Corresponding conversation protocol

39. Analyzing Collaboration Diagram Extensions Realizability of collaboration diagram sets and collaboration diagram graphs cannot be determined using the well- informed event rule we discussed earlier However, collaboration diagram sets and collaboration diagram graphs can be converted to conversation protocols We can use the earlier results on realizability of conversation protocols to determine realizability of collaboration diagram sets and collaboration diagram graphs

40. Realizability Analyzer Dependency Graph Constructor Automata Constructor Conversation Protocol Translator Collaboration Diagrams Realizability Analysis with WSAT Promela Translator LTL Model Checking with SPIN Peer Synthesizer A Tool for Analyzing Collaboration Diagrams The tool is implemented as an Add-In to Sparx Systems Enterprise Architect UML Editor

41. Experiments Problem InstanceRealizability 1Realizability 2States Factory ManagerYESNO383 Order ItemNO 42 (after fix) Purchase OrderYESNO246 Company StoreYES 22 Information ExchangeYES 50 Voting BoothNO 59 (after fix) Causality ModelYESNO116

42. orderWindow: OrderEntryWindow order:Order macallanLine: OrderLine deliveryItem: DeliveryItem macallanStock: StockItem reorderItem: ReOrderItem 1:prepareOrder 2:prepareOrderLine 3:check 4:remove? 5:needToReorder 6:newReOrder 7:newDelivery? Order Item Example