The advent of regulatory compliance requirements such as Sarbanes Oxley Act has forced enterprises to set up a process for managing an effective internal controls system on business processes. In this paper a formal framework consisting of a formal definition of business process compliance and a set of properties is proposed. A system implementing the formalization must satisfy the given proper...

This paper presents a framework for analyzing and predicting the performances of a business process, based on historical data gathered during its past enactments. The framework hinges on an inductive-learning technique for discovering a special kind of predictive process models, which can support the run-time prediction of a given performance measure (e.g., the remaining processing time/steps) ...

Processes count to the most important assets of companies. Ensuring the compliance of processes to legal regulations, governance guidelines, and strategic business requirements is a sine qua non condition to controlling business behavior. Implementing business process compliance requires means for modeling and enforcing compliance measures. In this work, we motivate the need for automation in c...

Modern enterprises may be in need of developing the right application programs in a rapidly changing business environment for a fast time to market. However, most enterprises without a business process mechanism find it difficult to develop applications in time when they need to change their business. To solve this problem, we proposed a business process framework (BPF) based on closed architec...

Business process collaboration is one of the most significant factors driving today’s global business development. Researches and applications such as business process modeling, workflow interoperability, web service and ambient intelligence have been involved in this area. However, a holistic understanding is missing. To clarify the requirements and build a research foundation for business pro...

Predictive business process monitoring exploits event logs to predict how ongoing (uncompleted) cases will unfold up to their completion. A predictive process monitoring framework collects a range of techniques that allow users to get accurate predictions about the achievement of a goal or about the time required for such an achievement for a given ongoing case. These techniques can be combined...

With the large diffusion of Business Process Management (BPM) automation suites, the possibility of managing process-related risks arises. This paper introduces an innovative framework for process-related risk management and describes a working implementation realized by extending the YAWL system. The framework covers three aspects of risk management: risk monitoring, risk prevention, and risk ...

Nowadays, the increasing complexity in government-related processes presents considerable challenges to achieve satisfactory services. In this study we will discuss the first results obtained in an ongoing project named “e-Government Innovation Center”. We first identify typical semantic problems in e-Government, then introduce an e-Government semantic business process management framework and ...

In cross-enterprise collaborative environment, we have dealt with challenges in business process integration for common business goals. Research directions in this domain range from business to business integration (B2Bi) to service-oriented augmentation. Ontologies are used in Business Process Management (BPM) to reduce the gap between the business world and information technology (IT), especi...