Learning context to adapt business processes

This work presents a new approach to handling knowledge-intensive business processes in an adaptive, flexible and accurate way. We propose to support processes by executing a process skeleton, consisting of the most important recurring activities of the process, through a workflow engine. This skeleton should be kept simple. The corresponding workflow is complemented by two features: firstly, a task management tool through which workflow tasks are delivered and that give human executors flexibility and freedom to adapt tasks by adding subtasks and resources as required by the context. And secondly, a component that learns business rules from the log files of this task management and that will predict subtasks and resources on the basis of knowledge from previous executions. We present supervised and unsupervised approaches for rule learning and evaluate both on a real business process with 61 instances. Results are promising, showing that meaningful rules can be learned even from th...

ICEBE2014, 2014

Business process modeling is an important activity for both organizational design and for the planning and analysis of information systems that support an organization’s business processes. Our goal is to help business analysts produce detailed models of the business processes that best reflect the needs of their organizations. To this end, we propose to, a) leverage the best practices in terms of a catalog of generic business processes, and b) provide analysts with tools to customize those processes by generating new process variants around automatically identified process variants. We use business patterns from the Resource Event Agent ontology to identify variation points, and to codify the model transformations inherent in the generation of the process variants. We developed a prototype, showing the compu- tational feasibility of the approach, and validated the relevance of the variation points, and the correctness of corresponding transformations in the context of ERP key processes, showing the conceptual soundness of the approach.

Proceedings of the 29th Annual ACM Symposium on Applied Computing - SAC '14, 2014

Modern software systems are more and more deployed within moving and continuously changing contexts. It is not easy to consider all the possible contexts configurations/variances at priori, or it is quite cumbersome and error prone to list and program all this variability points at development time. For such a reason different research trends try to develop mechanisms to express, analyse and support the dynamic adaptation of a software system while it is running.

2010

2011 IEEE International Conference on Service-Oriented Computing and Applications (SOCA), 2011

Business processes are typically used by organizations to meet a specific business goal by executing a set of coordinated activities realized through Web services and service compositions. Operating in open and dynamic environments, business processes often need to be adapted during the execution to react to changes and unexpected problems. The aim of this paper is to provide a dynamic and flexible way to adapt business processes to run-time context changes that impede the achievement of a business goal. We define a formal framework that uses a planning technique to adapt the execution of the service-based business process at runtime in case of context changes. The adaptation enables the business process to continue its normal execution by recovering it to a context, in which the original goal can be achieved. The proposed solution is implemented and validated using a scenario from the logistics domain.

Lecture Notes in Business Information Processing, 2009

In current dynamic business environment, it has been argued that certain characteristics of ad-hocism in business processes are desirable. Such business processes typically have a very large number of instances, where design decisions for each process instance may be made at runtime. In these cases, predictability and repetitiveness cannot be counted upon, as the complete process knowledge used to define the process model only becomes available at the time after a specific process instance has been instantiated. The basic premise is that for a class of business processes it is possible to specify a small number of essential constraints at design time, but allow for a large number of execution possibilities at runtime. The objective of this paper is to conceptualise a set of constraints for process adaptation at instance level. Based on a comprehensive modelling framework, business requirements can be transformed to a set of minimal constraints, and the support for specification of process constraints and techniques to ensure constraint quality are developed.

2008 International MCETECH Conference on e-Technologies (mcetech 2008), 2008

Service-oriented architecture (SOA) brings new perspectives not only to software architecture but also to enterprise business processes. SOA promotes the use of loosely coupled services to automate business processes. The automation of business processes raises several challenges for enterprises. One of those challenges relates to the maintenance of business processes, more precisely how to facilitate changes within existing business processes, possibly even at run-time. Furthermore, changing a collaborative business process can have an impact on the contract specified between the parties involved. Thus, a business process may need to adapt to meet a new contract. * Some approaches propose solutions to support business process adaptability; however, they do not handle adaptability in the context of multi-partner collaborative business processes. In this paper, we propose a new approach to support adaptability for such collaborative processes. This approach uses a protocol, called Change Protocol for Collaboration (CPC), for managing the changes that can have incidence on the contract.

In today's Quality of Service (QoS) is main issue for the Business world,it continuously required updation for business process and various new ideas to keep a competitive high level. There is need for adaptation of business process.In this paper we propose a framework CEVICHE(Complex Event Processing for Context_adaptive processes in pervasive and Heterogeneous Environment) ,which provides the dynamically adaptation for improving the Quality of Service for business process adaptation.The business process generates lot of the data at the execution time and the information of the intermediate activities. The main purpose for using CEVICHE is creating context-aware business processes which are adapt dynamically in order to responding to different scenarios, and it avoids the overloading on the application. CEVICHE framework combines the the strengths of complex event processing and dynamic business process.we use complex event processing for obtaining information to improve business process and it provides the dynamic adaptation business process run time it the execution time.

ICONS 2013, The Eighth International …, 2013

Enterprise service bus is a software architecture middleware used for implementing the interaction between software applications in a Service Oriented Architecture. We have developed a strategy to dynamically manage business processes. Administrators of service bus need to reconfigure sites where the business processes are placed. This evolution has to be done during execution of service through the bus. We ensure the availability of process definition. Moreover, business process can also be autonomous. This means a process which is able to move from one site to another one, where the business process engine is installed. This provides another approach to design business process. With our "mobile process migration" template, we separate two concerns, on one side architectural features and on the other side business features. The business process can become mobile between two service busses and we improve the availability of business processes.

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018

Complexity and dynamism of day-today activities are inextricably linked, thus the need for constant adaptation to address emerging demands has grown. Process adaptation is the action of customizing a process instance to make it applicable to a particular situation. However, unplanned conditions may occur at any time during process execution. So, the design of a complete process model has given place to a flexible design based on reuse and adaptation. This paper addresses the problem of dynamic adaptation within a process-aware information system (IS). On top of a theory for context-aware ISs, we argue that an unexpected situation can be characterized by a number of known contextual elements and could be used to automate the decision of replanning the process flow in a specific instance, in order to preserve the process strategy. The solution was evaluated in real setting observational studies in the domains of oil and gas and air traffic control.