Methods for the specification and verification of business processes MPB (6 cfu, 295AA)



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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 05 - Evolution 1

Object Overview of the evolution of (Information Systems inside) Enterprise Systems Architectures 2

Guiding principles Separation of concerns (to separate a system into distinct features that overlap in functionality as little as possible) Modularity and information hiding (encapsulation, interfaces, reuse, maintainability, response to change) 3

Edsger W. Dijkstra 11 May 1930 6 August 2002 http://www.cs.utexas.edu/users/ewd/ 1974 Let me try to explain to you, what to my taste is characteristic for all intelligent thinking. It is, that one is willing to study in depth an aspect of one's subject matter in isolation for the sake of its own consistency, all the time knowing that one is occupying oneself only with one of the aspects. 4

Edsger W. Dijkstra 1974... We know that a program must be correct and we can study it from that viewpoint only; we also know that it should be efficient and we can study its efficiency on another day, so to speak. In another mood we may ask ourselves whether, and if so: why, the program is desirable. But nothing is gained on the contrary! by tackling these various aspects simultaneously. 5

Edsger W. Dijkstra 1974... It is what I sometimes have called "the separation of concerns", which, even if not perfectly possible, is yet the only available technique for effective ordering of one's thoughts, that I know of. This is what I mean by "focussing one's attention upon some aspect": it does not mean ignoring the other aspects, it is just doing justice to the fact that from this aspect's point of view, the other is irrelevant. 6

Edsger W. Dijkstra 1974 Business data processing systems are sufficiently complicated to require such a separation of concerns and the suggestion that in that part of the computing world "scientific thought is a non-applicable luxury" puts the cart before the horse: the mess they are in has been caused by too much unscientific thought... 7

Software Architecture Definition: A software architecture defines a structure that organizes the software elements and the resources of a software system (outside view). Software elements and resources are represented by subsystems, with specific responsibilities and relationships (inside view). 8

Early systems (architectures) Advanced user interfaces Programming interfaces Physical data independence 9

Individual enterprise application Lack of Integration! Data redundancy! Data dependencies! 10

Enterprise resource planning systems human resources financials manufacturing Integrated and consistent (centralized) database ERP Two-tier client-service remote data access 11

Siloed enterprise applications Lack of Integration! Data redundancy! Customer Relationship Management System Supply Chain Management System Data dependencies! (on a larger scale and complexity than before) Connected on local network, but not logically integrated 12

Enterprise Application Integration Heterogeneous information technology landscape has grown in an evolutionary way for years: Heterogeneity of data and their attributes (syntax and semantics difficulties) calls for Data 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. 13

Point-to-point integration N x N hard-wiring problem! Too many interfaces to develop! Does not respond well to changes! N 1 i=1 i = N(N 1) 2 Middleware technology (dedicated system integrators) 14

Message-oriented middleware Messages must be encoded and decoded Cooperation realized in the integration application Point-to-point connection problem does not diminish 15

Hub-and-spoke integration Configuration and management of adapters and message brokers can become cumbersome From N x N to N integrators Message brokers Publish/subscribe mechanism 16

Gartner s hype cycle Over-enthusiasm Unrealistic expectations A hype cycle is a graphic representation of the maturity, adoption and social application of specific technologies Technology benefits are widely accepted Technology benefits emerge Breakthrough Product launch Press interest Fail to meet expectations Quickly become unfashionable 17

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: Constant change Shortage of EAI experts Competing standards Building interfaces is an art Loss of detail: Information unimportant at an earlier stage may become crucial later Conflicting and emerging requirements Data protectionism 18

From (data-models and) data-integration To (process-models and) process-integration 19

Concepts from business administration Informal, high-level business functions decomposition produce a Value system made of Value chains centred at the enterprise E under consideration Collaboration is flowing in both directions inside chains (not necessarily left-to-right) 20

Concepts from business administration Organizational business process 21

Concepts from business administration Top-level: Form-based description of organizational business process (black-box view) 22

Concepts from business administration Lower-level: dependencies are shown in a process landscape 23

Workflow management Needs of: Explicit representation of process structures in process models Controlled enactment of business processes according to these models 24

Workflow re-birth Born as rational organization of work in manufacturing: optimization of throughput and resource utilization Re-born in ICT: flexibility, adaptability, modularity, distribution 25

Workflow management coalition (WfMC) Founded in the 90s by vendors, users, academia: http://www.wfmc.org The model-driven approach facilitates a high degree of flexibility: old process models can be adapted to fulfil new requirements and the new processes can be readily enacted 26

Workflow Definition: a workflow is the automation of a business process, in whole or in part, during which documents, information, or tasks are passed from one participant to another for action, according to a set of procedural rules 27

Workflow management system Definition: a workflow management system is a software system that defines, creates, and manages the execution of workflows through the use of software, running on one or more workflow engines, which is able to interpret the process definition, interact with workflow participants, and, where required, invoke the use of IT tools and applications 28

A piece of history Systems Research 29

Workflow component Definition: a single-application workflow consists of activities and their causal and temporal ordering that are realized by one common application system. 30

Multiple-application workflow system Definition: a multiple-application workflow contains activities that are realized by multiple application systems, providing an integration of these systems. 31

System workflow Definition: a system workflow consists of activities that are implemented by software systems without any user involvement. 32

Do you remind hub-and-spokes EAI? 33

Limitations in workflow management Technical integration problems: Scarcely documented applications Different levels of granularity Tight coupling of applications (direct invocation) 34

Office automation system When task performed by humans are involved in the workflow, it is not sufficient to equip workers with adequate software: their collaboration must be supported shared data repositories and work handover can speed-up office procedure considerably First attempt: office automation (form-based applications, quite narrow) 35

Human interaction workflow Definition: Workflows in which humans are actively involved and interact with information systems are called human interaction workflows. 36

Concepts in human interaction workflow Roles = groups of employees that qualify for being responsible of certain activities Work item list (also called in-basket) 37

Limitations in workflow management Problems with knowledge workers: User acceptance issues Machine burdening of workers Little room for creativity 38

Enterprise service computing Main idea: Business functionalities exposed as services Services are equipped with usage information Customers can find services and use them 39

Business-to-business processes 40

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. 41

Service-oriented architectures To work easily, flexibly, and well together, services must be based on shared organizing principles that constitute a service-oriented architecture. Definition: Service-oriented architectures (SOA) are software architectures that provide an environment for describing and finding software services, and for binding to services. 42

Service-oriented architectures 43

Service-oriented architectures 44

Advantages of SOA Reuse of functionality at coarse level of granularity New applications can be built with less effort Existing applications can be efficiently adapted to changing requirements Reduced maintenance and development costs 45

Service enabled application system standard interface service specification must be decoupled from implementation and legacy system 46

Products as services Corporations are increasingly perceived by the set of services they provide These services exposed to the market can be realized by enterprise services (provided by the back-end application system) Also services provided by third parties can be integrated so that better end used services can be provided to the customer 47

Enterprise service bus Centralized component that integrates all applications Hides heterogeneity by introducing service interfaces Local registry Manual search (absence of dynamic matchmaking) 48

Composite service based application Intra-company well-expressed as business processes Local registry Manual search (absence of dynamic matchmaking) 49

The big picture 50