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workflow in temporal state machine v1

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A basic description using a temporal state machine to show the fundamentals of work-flow.

Publié dans : Technologie, Formation
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  • You need to take this down. It's the secret sauce.



    Best description yet of what COSA is.



    If you're going to keep this available (which I strongly urge you don't) two changes:

    1. too not to on slide 14

    2. Add a final slide. Reality is that each call/rule/procedure still has to be defined. There is no magic. You must define the processes completely. You must define the actions (true or false) at their most atomic level.
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workflow in temporal state machine v1

  1. 1. Basic B i COSA Workflow Example W kfl E l in a Temporal State Machine GORDON MORRISON GORDON.MORRISON@VSMERLOT.COM www.vsmerlot.com 7/11/2010
  2. 2. What is workflow?  Workflow is understanding the rules and steps that g p define the process of work being performed  Workflow rules require understanding the temporal relationships of binary states, their true or false behaviors and their respective true or false next state transitions. transitions  Workflow requires the proper placement of detail in abstraction. abstraction www.vsmerlot.com 7/11/2010
  3. 3. Examples  Processing any event g y  Processing documents, languages, or databases  User interactions with systems y www.vsmerlot.com 7/11/2010
  4. 4. Things common to workflow  All have a temporal basis p  All are based on rules that have one or more steps  All have rules/steps that consist of states that have / p true and false behaviors  Some states do nothing but transition to another state  In temporal logic rules/steps/states do one thing  It’s done well  It’s coherent www.vsmerlot.com 7/11/2010
  5. 5. Temporal State Machine  Temporal State Machine  While (Engine) {  If(this->table(iTime).f_State())  This->table(iTime).TrueBehavior() T TrueTrace = Thi T This->table(iTime).trace; bl (iTi )  iTime = table(iTime).NextTrueTime;  Else  This->table(iTime).FalseBehavior();  FalseTrace = This->table(iTime).trace;  iTime = table(iTime).NextFalseTime; }  }  Table is defined on the next slide www.vsmerlot.com 7/11/2010
  6. 6. www.vsmerlot.com  The temporal state machine refers to this logic table, p g , the seven columns are:  Rule name or step displacement  Function testing state i i  True behavior  Next true behavior to execute  False behavior  Next false behavior to execute  Trace www.vsmerlot.com 7/11/2010
  7. 7. A Workflow Example  RULE TEST STATE TRUE B NEXT T FALSE B NEXT F TRACE  rStateMach, rStateMach f_Initial, f Initial pCreate, pCreate +1 +1, Ignore, Ignore rError, rError 1000  +1, f_Status, pCreated, rReady, pNotCreated, rError, 1001  rReady, f_Approved, pApproved, rAction, Ignore, +1, 2000  +1, f_Rejected, pRejected, rDone, Ignore, +2, 2001  +2 f_Cancelled, f Cancelled pCanceled, Done pCanceled rDone, Igno e Ignore, rError, E o 2002  rAction, f_Act1, … 4000  rDone, f_Done, … 9000  rError, f_Error, … f 9086 www.vsmerlot.com 7/11/2010
  8. 8. State Machine Interfaces  temporalMachine.approve; p pp ;  Moves the temporal pointer  temporalMachine.cancelled;  Moves the temporal pointer to canceled  Tests the status  Returns a Boolean result www.vsmerlot.com 7/11/2010
  9. 9. Rules  Rules define the workflow  Rules are defined in the state machine workflow table  Each row requires that each column have an entry  Every state has a true and false behavior  Every state h a true and f l next b h i has d false behavior  Guards are defined as complete rules  L i fl Logic-flow is separate from d t fl i t f data-flow www.vsmerlot.com 7/11/2010
  10. 10. Rules are Complete  Rules consist of one or more steps p  Each step is a row in the logic table  Rules are only entered at their beginning  Rules allow looping within the rule  Rules can exit from anywhere within the rule  Rules are not nested  Rules are located in time with the workflow  When Wh an action i approved i is d  Next rule or step is ready for test www.vsmerlot.com 7/11/2010
  11. 11. Nested Temporal State Engines  Another Temporal Engine can be called from a rule p g  Another object can be created from a rule  Another thread can be created from a rule www.vsmerlot.com 7/11/2010
  12. 12. The Temporal Pointer  Managed by the Temporal Engine: g y p g  Can be set to the zero rule on each entry  Can be left at the last rule or step used  C Can be provided as an argument when the T b id d h h Temporal E i i l Engine is called or reentered www.vsmerlot.com 7/11/2010
  13. 13. Trace / Audit is Inherent  The Temporal Engine Provides a: p g  True trace for every state/step  False trace for every state/step  The trace can always be on  Or the trace can be dynamically bound  Turned on or turned off at runtime d d ff i www.vsmerlot.com 7/11/2010
  14. 14. Breaking the Time Barrier www.vsmerlot.com 7/11/2010
  15. 15. A Temporal Understanding Question: What are the five most importing things in creating quality software? i li f  1) Temporal Logic  Reduced complexity  2) Temporal Logic  Improved quality  3) Temporal L i )T l Logic  Greater performance  4) Detail  The devil lives here don’t get carried away with abstraction  5) Abstraction  It s It’s important but to much has caused many a project to fail www.vsmerlot.com 7/11/2010

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