Auditing business process compliance

Compliance issues impose significant management and reporting requirements upon organizations.We present an approach to enhance business process modeling notations with the capability to detect and resolve many broad compliance related issues. We provide a semantic characterization of a minimal revision strategy that helps us obtain compliant process models from models that might be initially non-compliant, in a manner that accommodates the structural and semantic dimensions of parsimoniously annotated process models. We also provide a heuristic approach to compliance resolution using a notion of compliance patterns. This allows us to partially automate compliance resolution, leading to reduced levels of analyst involvement and improved decision support

Dealing with Web service QoS factors using constraint hierarchy

Functionality and non-functional properties are two critical factors in web service technology, but non-functional properties (quality factors) are often ignored. Usually, these are articulated as statements of objectives, as opposed to prepositional assertions. A key challenge in dealing with objectives is that there is no obvious means to decide when they are satisfied. In effect, these objectives are never fu lly satisfied, but satisficed to varying degrees. Alternative design decisions need to trade-off varying degrees of satisfaction of potentially mutually contradictory non-functional requirements. In some circumstances, non-Junctional properties are crucial; they do affect the design decision. Upon a request, there are a range o f web services that might provide the required functionality, so the web service selection can only be done based on their Quality of Service (QoS). Therefore, a quality-based web service model is in high demand. The key contribution of this paper is the use of the hierarchical constraint logic programming framework [9, 10] in dealing with quality factors. We show how quality factors can be formulated as soft constraints and how the machinery associated with constraint hierarchies can be used to evaluate the web services

A Framework to Support Coalition Formation in Supply Chain Collaboration

This paper proposes a framework for agents in globally collaborative supply chain by applying the concept of coalition formation, a cooperation game in game theory. This framework provides mutual benefits to every party involved buyers, sellers and logistics providers. It provides a common gateway that allows individual parties to locate the right partners, negotiate with them, and form coalition in the best possible ways. The framework is applicable to real world e-business models, including B2C, B2B, supply chain and logistics, SME, etc. We firstly discuss common needs existing in today e-business. We then discuss about our framework, i.e., negotiation protocol and decision mechanism

Towards green business process management

There is a global consensus on the need to reduce our collective carbon footprint. While much research attention has focused on developing alternative energy sources, automotive technologies or waste disposal techniques, we often ignore the fact that the ability to optimize (existing) operations to reduce their emissions impact is fundamental to this exercise. We believe that by transforming the problem into the domain of Business Process Management (BPM) we can leverage the rich expertise in this field to address issues associated with identifying areas for improvement, understanding the implication and performing carbon footprint minimization. We will use the term “Green BPM” to describe a novel class of technologies that leverage and extend existing BPM technology to enable process design, analysis, execution and monitoring in a manner informed by the carbon footprint of process designs and instances. This article describes the first steps in the development of this class of technologies

Characterizing artificial socio-cognitive technical systems

This paper is an invitation to examine a class of socio-technical systems - artificial socio-cognitive (ASCS) - whose distinctive nature is that they may involve humans as well as artificial agents who interact in a regulated milieu. We propose a characterization of these ASCS and build on that characterization to describe how these systems evolve

Combining i* and BPMN for business process model lifecycle management

The premise behind ‘third wave’ Business Process Management (BPM1) is effective support for change at levels. Business Process Modeling (BPM2) notations such as BPMN are used to effectively conceptualize and communicate process configurations to relevant stakeholders. In this paper we argue that the management of change throughout the business process model lifecycle requires greater conceptual support achieved via a combination of complementary notations. As such the focus in this paper is on the co-evolution of operational (BPMN) and organizational (i*) models. Our intent is to provide a way of expressing changes, which arise in one model, effectively in the other model. We present constrained development methodologies capable of guiding an analyst when reflecting changes from an i* model to a BPMN model and vice-versa. 1 Introductio

Using assumptions in service composition context

Service composition aims to provide the efficient and accurate model of a service, based on which the global service oriented architecture (SOA) can be realized, allowing the value-added services to be generated on the fly. Because of distributed responsibilities, ownership, and control, often, it is not feasible to acquire all information needed for the service composition, thus there might be no guarantee that the service execution has an anticipated effect. In this paper, we are going to extend current Semantic Web Service Description by introducing the concept of Service Assumption which allows reasoning with incomplete information. Furthermore, together with the proposed service assumption, a sequence of rules is developed to describe all permitted behaviors in service composition context

A CMMI-Based Automated Risk Assessment Framework

Risk assessment is crucial to the increase of software development project success. Current risk assessment approaches provide only a rough guide. Risk assessment experts and domain experts are required in conducting risk assessments in software projects. Therefore, traditional risk assessment approaches require extra activities besides development tasks, and possibly leading to extra costs. We believe that an effective risk assessment approach should be transparently embedded in software development process. This paper aims to present an automated risk assessment framework using CMMI and risk taxnomy as a guidance to develop a risk assessment model. A pragmatic approach will be applied as a basis in building this suggested risk prediction model and the case studies of our practice. These studies are considered as our proof of concept