Business Process Model and Notation

About: Business Process Model and Notation is a research topic. Over the lifetime, 9038 publications have been published within this topic receiving 190712 citations. The topic is also known as: Business Process Modeling Notation & BPMN.

Specifying and Verifying Cross-Organizational Business Models: An Agent-Oriented Approach

Abstract: Cross-organizational business processes are routine in today's economy. Of necessity, enterprises conduct their business in cooperation to create products and services for the marketplace. Thus business processes inherently involve autonomous partners with heterogeneous software designs and implementations. Therefore, it would be natural to model such processes via high-level abstractions that reflect the contractual relationships among the business partners. Yet, in today's IT practice, cross-organizational processes are modeled at a low level of abstraction in terms of the control and data flow among the participants. This paper makes the following contributions. First, it proposes a simple, yet expressive, declarative way to specify business models at a high level based on the notion of commitments. Second, it shows how such a high-level model maps to a conventional operational model. Third, it provides a basis for verifying the correctness of the operational representations with respect to the declarative business model using existing temporal model checking tools. This paper validates the above claims using the well-known Quote To Cash business process, e.g., as supported by vendors such as SAP and applied in large enterprises. In this manner, this paper helps bridge the gap between high-level business models and their IT realizations.

Mining of ad-hoc business processes with TeamLog

Abstract: The design of workflows is a complicated task. In those cases where the control flow between activities cannot be modeled in advance but simply occurs during enactment time (run time), we speak of ad-hoc processes. Ad-hoc processes allow for the flexibility needed in real-life business processes. Since ad-hoc processes are highly dynamic, they represent one of the most difficult challenges, both, technically and conceptually. Caramba is one of the few process-aware collaboration systems allowing for ad-hoc processes. Unlike in classical workflow systems, the users are no longer restricted by the system. Therefore, it is interesting to study the actual way people and organizations work. In this paper, we propose process mining techniques and tools to analyze ad-hoc processes. We introduce process mining, discuss the concept of mining in the context of ad-hoc processes, and demonstrate a concrete application of the concept using Caramba, process mining tools such as EMiT and MinSoN, and a newly developed extraction tool named Teamlog.

System and method for automatically processing dynamic business rules in a content management system

Abstract: A business rule processing system automatically processes dynamic business rules in a content management system, allowing frequent updates to the business rules The updates can be automatically adapted by the system without restarting the content management system The system utilizes a stand-alone rule engine Business logic is encoded as business rule definition files using a platform-independent language; the business rule definition files are stored in a central business rule repository The business rules are managed and executed by the rules engine; the rules engine provides business rule processing services to other parts of the content management system The system reduces development and maintenance cost, accelerates the business rule update cycle, and simplifies administration efforts

A literature review on business process modelling: new frontiers of reusability

Abstract: Business process modelling (BPM) has become fundamental for modern enterprises due to the increasing rate of organisational change. As a consequence, business processes need to be continuously (re-)designed as well as subsequently aligned with the corresponding enterprise information systems. One major problem associated with the design of business processes is reusability. Reuse of business process models has the potential of increasing the efficiency and effectiveness of BPM. This article critically surveys the existing literature on the problem of BPM reusability and more specifically on that State-of-the-Art research that can provide or suggest the 'elements' required for the development of a methodology aimed at discovering reusable conceptual artefacts in the form of patterns. The article initially clarifies the definitions of business process and business process model; then, it sets out to explore the previous research conducted in areas that have an impact on reusability in BPM. The article concludes by distilling directions for future research towards the development of apatterns-based approach to BPM; an approach that brings together the contributions made by the research community in the areas of process mining and discovery, declarative approaches and ontologies.

Causal nets: a modeling language tailored towards process discovery

Abstract: Process discovery--discovering a process model from example behavior recorded in an event log--is one of the most challenging tasks in process mining. The primary reason is that conventional modeling languages (e.g., Petri nets, BPMN, EPCs, and ULM ADs) have difficulties representing the observed behavior properly and/or succinctly. Moreover, discovered process models tend to have deadlocks and livelocks. Therefore, we advocate a new representation more suitable for process discovery: causal nets. Causal nets are related to the representations used by several process discovery techniques (e.g., heuristic mining, fuzzy mining, and genetic mining). However, unlike existing approaches, we provide declarative semantics more suitable for process mining. To clarify these semantics and to illustrate the non-local nature of this new representation, we relate causal nets to Petri nets.