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This project aims to develop novel technology for robust e-business applications, improving service quality and expanding e-commerce solutions within the tourism sector. Through efficient and reliable development methods, pilot projects will explore the challenges of managing complex business processes in a heterogeneous environment. Key focuses include performance scaling, fair routing, reliability, and knowledge propagation. The project also addresses the management challenges of marketing measurement, rights management, and education. Technical challenges like accuracy, security, and maintenance will be tackled, with a special emphasis on tourism business process modelling and optimisation.
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Participating organisations • University of Veszprem, Department of Computer Science • University of Veszprem, Department of Tourism • Budapest University of Technology and Economics, Department of Measurement and Information Systems • Budapest University of Technology and Economics, Centre of Information Technology • Balatontourist Tourism and Trade Company Ltd.
Objectives • Development of novel technology • Development of robust e-business applications • Improvement of service quality • Expansion of e-commerce solutions • Efficient and reliable development method • Pilot projects
E-business systems • Huge investments • Few participants • Small number of business processes • Complex business processes • Computer skills and experience used in large companies
E-business “in-the-small” • Smaller investment • Lot of participants • Plain but multiple business processes • Unreliable business processes • Lack of computer skill and experiences heterogeneous, unreliable environment
Technical challenge • Performance scaling • Fair routing • Reliability • Multi-directional interfaces • Accuracy, security • Maintenance, operation, monitoring
Management challenge • Knowledge propagation, marketing measuring • Rights (contracts, warranties) • Education
Scientific challenge • Reliability improvement • Capacity, performance estimation • Unreliable human factors • Statistics, trend analysis, data mining • Optimisation • Tourism business process modelling
Application environment private persons private persons (client) (client) agencies agencies ASP ASP agencies agencies private persons private persons (provider) (provider)
Suggested development steps • Analysis of heterogeneous communication infrastructure • Business process modelling • Ensure of robust e-business applications • Optimisation (capacity, reliability)
Benefits • Statistics, feedbacks, optimisation • Higher-level electronic services • Analysis of regional tourism • Sense of safety • Customised programs • New, complex services
Innovations • BPM based development • Failure analysis • Robust application development
Trends at e-business application development • BPM basedrequirement and process specification • Connection of BPR and BPM • BPM and CASE • New standards (OMG MDA, EDOC) • Mathematical model generation • Failure modelling • Pilot application
BPM and CASE • BPM = Business Process Modelling • Aims: • Aid for analysing business processes • Clear illustrations (BPR) • Simulation, optimisation • Start-up model for visual programming • UML 1.x: BPM profile
OMG MDA PSM Services realisation, Model Driven Architecture containers and platform. Projection on a specific platform(J2EE,.MET, CORBA, Web). UML PIM /PSM Core Languages MOF CWM PIM to PIM Mappings PIM to PSM Mappings Software Development Lifecycle
Transformation and modelling <<based on>> PIM Mapping Key: transformation techniques Mapping from PIM to PIM 1..n UML PIM <<expressed with>> 1..n 1..n <<independent of>> Metamodel <<are described with>> <<expressed with>> MOF Mapping from PIM to PSM 1..n 1..n <<expressed with>> Refactoring from PSM to PIM <<are described with>> Other languages 1..n <<based on>> <<depends on>> Infrastructure PSM 1..n PSM Mapping techniques
Partial task: BPM dialect definition ARIS conceptual compatibility UML EDOC semantic compatibility Expressive -> many views • business process, • infrastructure, • organisational, • data, • function, • control
Partial task:selection of mathematical paradigm • Dataflow formalism • Same paradigm like designing security critical systems • Qualitative failure modelling: expandable, enumeration type failure set: • {good, incomplete, syntax error, semantic error} • {few, adequate, many} • {early, in time, late, out}
Analysis and synthesis • Analysis possibilities: • FMEA • formal verifications • failure simulation • Synthesis • verification patterns