Understanding the Costs of Business Process Management Technology

Providing effective IT support for business processes has become crucial for enterprises to stay competitive in their market. Business processes must be defined, configured, implemented, enacted, monitored and continuously adapted to changing situations. Process life cycle support and continuous process improvement have therefore become critical success factors in enterprise computing. In response to this need, a variety of process support paradigms, process specification standards, process management tools, and supporting methods have emerged. Summarized under the term Business Process Management (BPM), they have become a success-critical instrument for improving overall business performance. However, introducing BPM approaches in enterprises is associated with significant costs. Though existing economic-driven IT evaluation and software cost estimation approaches have received considerable attention during the last decades, it is difficult to apply them to BPM projects. In particular, they are unable to take into account the dynamic evolution of BPM projects caused by the numerous technological, organizational and project-specific factors influencing them. The latter, in turn, often lead to complex and unexpected cost effects in BPM projects making even rough cost estimations a challenge. What is needed is a comprehensive approach enabling BPM professionals to systematically investigate the costs of BPM projects. This chapter takes a look at both known and often unknown cost factors in BPM projects, shortly discusses existing IT evaluation and software cost estimation approaches with respect to their suitability for BPM projects, and finally introduces the EcoPOST framework. EcoPOST utilizes evaluation models to describe the interplay of technological, organizational, and project-specific BPM cost factors as well as simulation concepts to unfold the dynamic behavior and costs of BPM projects

Effort Estimation of Business Process Modeling through Clustering Techniques

A critical activity in project planning, especially in business process modeling (BPM) projects, is effort estimation. It involves several dimensions such as business domain complexity, team and technology characteristics, turning estimation into a difficult and inaccurate task. In order to reduce this difficulty, background knowledge about past projects is typically applied; however, it is too costly to be carried out manually. On the other hand, Data Mining enables the automatic extraction of new nontrivial and useful knowledge from existing data. This paper presents a new approach for BPM project effort estimation using data mining through clustering technique. This approach was successfully applied to real dat

Development of a Cloud Platform for Business Process Administration, Modeling, and Execution

Current business process management systems (BPMS) are laid out for large enterprises with business process management (BPM) expertise. Hence, there is a lack of tailored BPMS for small and medium-sized enterprises (SMEs) targeting at users with hardly BPM expertise. Clavii BPM cloud is a compact solution for web-based business process administration, modeling, and execution. Therefore, Clavii BPM cloud offers features to easily manage and share process models, as well as features for collaborative process modeling and execution. Moreover, Clavii BPM cloud has a unique feature set, which includes process views to reduce process model complexity and an easily extendable object-oriented data model. It also provides unique capabilities for process visualization with different notations like business process model and notation (BPMN) and a newly developed Transit Map. Created process models can be executed directly in the cloud as part of the seamlessly integrated modeling and execution environment