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Methods for the specification and verification of business processes MPB (6 cfu, 295AA) Roberto Bruni http://www.di.unipi.it/~bruni 06 - Evolution 1 Object Overview of the evolution of (Information Systems inside) Enterprise Systems


  1. Methods for the specification and verification of business processes MPB (6 cfu, 295AA) Roberto Bruni http://www.di.unipi.it/~bruni 06 - Evolution 1

  2. Object Overview of the evolution of (Information Systems inside) Enterprise Systems Architectures Ch.2 of Business Process Management: Concepts, Languages, Architectures 2

  3. Guiding principles Modularity and information hiding (encapsulation, interfaces, reuse, maintainability, response to change) 3

  4. Software Architecture Definition : A software architecture defines a structure that organizes the software elements and the resources of a software system. 4

  5. Gartner’s hype cycle O v e r - e n t h u s i a s m U n r e a l i s t i c e x p e c t a t i o n s A hype cycle is a (branded) graphic representation of the maturity, adoption and social application of specific technologies T e c h n o l o g y b e n e f i t s a r e w i d e l y a c c e p t e d T e c h n o l o g y b e n e f i t s e m e r g e F a i l t o m e e t e x p e c t a t i o n s Q u i c k l y b e c o m e u n f a s h i o n a b l e B r e a k t h r o u g h P r o d u c t l a u n c h P r e s s i n t e r e s t 5

  6. Early systems (architectures) Monolithic applications Human developed from Advanced interaction scratch Application code user made easier and (textual) interfaces Porting required user interfaces redevelopment still entangled Physical Data data dependency and independence Programming consistency Data interfaces issues management as a primary concern 6

  7. Enterprise Applications OS + DBMS + GUI + Networking capabilities = more and more elaborate information systems could be engineered Typically hosting enterprise applications (customers, personnel, products, resources) Next steps: from individual to multiple information systems (needs integration) 7

  8. Individual enterprise application Lack of Integration! Data redundancy! Data dependencies! 8

  9. Changes Changes were hard to implement! Hard to track data dependency and replication Any modification of an application was a complex and error-prone activity, with domino effect (e.g. change of customer address format) 9

  10. ERP Enterprise Resource Planning ( ERP ) systems were developed to deal with the increasing complexity of changes Basic idea integrated database that spans most applications, separated modules provide desired functionalities, accessed by client applications 10

  11. Enterprise resource planning systems h u m a n f i n a n c i a l s m a n u f a c t u r i n g r e s o u r c e s E R P I n t e g r a t e d a n d c o n s i s t e n t ( c e n t r a l i z e d ) d a t a b a s e T w o - t i e r c l i e n t - s e r v i c e r e m o t e d a t a a c c e s s 11

  12. CRM and SCM New types of sw entered the market around 2000 Customer Relationship Management ( CRM ) systems Supply Chain Management ( SCM ) systems Goal to support the planning, operation, and control of supply chains, including inventory management, warehouse management, management of suppliers and distributors, and demand planning Problem : different vendors, separately developed 12

  13. Siloed enterprise applications Lack of Integration! Data redundancy! Data Integration would provide valuable information Data dependencies! C u s t o m e r S u p p l y (on a larger scale and complexity than before) R e l a t i o n s h i p C h a i n M a n a g e m e n t M a n a g e m e n t S y s t e m S y s t e m Connected on local network, but not logically integrated 13

  14. A sample scenario Customer calls Call centre personnel can only access the information stored in one system Call centre personnel is not aware of the full status of the customer Customer (doesn’t care about siloed structure) does not feel well served, becomes upset, expects a better service 14

  15. Heterogeneity Heterogeneity of data and their attributes (syntax and semantics difficulties) calls for Data Integration Examples corresponding data fields with different names (e.g., CustAddr vs CAstreet), fields with the same name but different meaning (e.g. Price: with or without taxes? unitary?) 15

  16. Integration Manual integration is possible, but: it consumes considerable resources it is error-prone cannot foreseen all applications in advance (reimplementing functionalities in an integrated way would just postpone the problem) Solution Enterprise Application Integration systems as a new middleware 16

  17. Enterprise Application Integration Definition : Enterprise Application Integration ( EAI ) is defined as the use of software and computer systems architectural principles to integrate a set of enterprise computer applications. 17

  18. Point-to-point integration (of silos) N x N hard-wiring problem! N − 1 i = N ( N − 1) X Too many interfaces to develop! 2 Does not respond well to changes! i =1 (Reprogramming an interface requires considerable resources, typically) M i d d l e w a r e t e c h n o l o g y ( d e d i c a t e d s y s t e m i n t e g r a t o r s ) 18

  19. Message Oriented Middleware Message-Oriented Middleware offers some execution guarantees, such as message delivery (e.g. persistent message queues are used) Still, the main problem remains: changes in the application landscape require changes in the communication structure The Client exploits an Integration Application to operate on all systems 19

  20. Message-oriented middleware Messages must be encoded and decoded Point-to-point connection problem C o o p e r a t i o n r e a l i z e d does not diminish that much i n t h e i n t e g r a t i o n a p p l i c a t i o n 20

  21. Response to Change Message-oriented middleware reduces in part integration efforts and gives important run-time guarantees Still cooperation is hardwired in a particular application (the Integration Application) No explicit process model that can be documented, communicated, and changed when necessary In the end, response to change is not improved 21

  22. Hub-and-Spoke The Hub-and-Spoke paradigm is based on a central hub and a number of spokes attached to it The Application Integration middleware represents the hub, and the applications to be integrated represents the spokes Interactions between any two applications must pass through the hub 22

  23. Hub-and-spoke integration Configuration and management of adapters and message brokers can become cumbersome F r o m N x N t o N i n t e g r a t o r s M e s s a g e b r o k e r s P u b l i s h / s u b s c r i b e m e c h a n i s m 23

  24. EAI implementation pitfalls 70% of all EAI projects fail (2003). Most of these failures are not due to technical difficulties, but due to management issues: Loss of detail: Information Constant change unimportant at an earlier stage may become crucial later Shortage of EAI experts Conflicting and emerging Competing standards requirements Data protectionism 24

  25. From (data-models and) data-integration To (process-models and) process-integration 25

  26. Value Chains and Process Orientation Two major factors fuelled business process management Value chains as a means to functionally break down the activities a company performs Process orientation as the way to organize the activities of enterprises 26

  27. Workflow component Definition : a single-application workflow consists of activities and their causal and temporal ordering that are realized by one common application system. 27

  28. Multiple-application workflow system Definition : a multiple-application workflow contains activities that are realized by multiple application systems, providing an integration of these systems. 28

  29. System workflow Definition : a system workflow consists of activities that are implemented by software systems without any user involvement. 29

  30. Workflows fit well with hub-and-spokes EAI 30

  31. Limitations in workflow management Technical integration problems: Scarcely documented applications Different levels of granularity Tight coupling of applications (direct invocation) 31

  32. Enterprise service computing Main idea: Business functionalities exposed as services Services are equipped with usage information Customers can find services and use them 32

  33. Services Definition : Services are loosely-coupled computing tasks that can be dynamically discovered and invoked over the network. Each service comes with a service description that can be published in service registries by the service provider . Service registries can be queried by service requestors . Service descriptions provide a level of detail that facilitates service requestors to bind and invoke them. 33

  34. Service-oriented architectures Definition : Service-oriented architectures ( SOA ) are software architectures that provide an environment for describing and finding software services, and for binding to services. 34

  35. Service-oriented architectures 36

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