Using a Work System Perspective to Expand BPM Research Use Cases

Business process management (BPM) has developed as a research field primarily situated in the computer and information systems sciences. Recently, van der Aalst (2013) analyzed the results of these research efforts and identified a set of research topics in the form of a series of BPM research use cases. Those BPM research use cases emphasize technological and computational challenges and solutions. Ideally, however, BPM research should also address managerial and organizational challenges that the existing technically oriented research use cases do not fully reflect. We propose expanding the scope and impact of BPM research by drawing on work system theory (WST) to identify new BPM research use cases and directions. After comparing a WST perspective on basic BPM topics with the technically oriented BPM perspective expressed in van der Aalst (2013), we present new research topics that extend the technically oriented BPM research use cases in van der Aalst (2013). We also present new research directions that go beyond those use cases. Taken together, the extensions of the existing research use cases and the new use cases lead to a more balanced BPM research agenda that more fully blends technical and managerial challenges

Using a Work System Perspective to Expand BPM Use Cases for Research

Business Process Management (BPM) has developed as a research field centered within the computer and information systems sciences – but also touching other fields as well. Recently, van der Aalst (2013) analyzed the results of some of these research efforts and identified a set of research topics in the form of a series of BPM use cases that primarily emphasize technological and computational challenges and solutions in BPM academia. Ideally, however, BPM should also address managerial and organizational challenges that are not fully reflected in the existing use cases identified by van der Aalst (2013). We propose drawing on work system theory (WST) to expand van der Aalst’s use cases and to identify additional BPM use cases and new research directions. After comparing a WST perspective on basic BPM topics with the BPM perspective expressed in van der Aalst (2013), we present new research topics that extend existing BPM use cases. We also present new research directions that go beyond those use cases. Taken together, the extensions of the existing use cases and the new use cases lead to a more balanced BPM research agenda that blends technical and managerial challenges more fully

UML Profile for Mining Process: Supporting Modeling and Simulation Based on Metamodels of Activity Diagram

An UML profile describes lightweight extension mechanism to the UML by defining custom stereotypes, tagged values, and constraints. They are used to adapt UML metamodel to different platforms and domains. In this paper we present an UML profile for models supporting event driving simulation. In particular, we use the Arena simulation tool and we focus on the mining process domain. Profiles provide an easy way to obtain well-defined specifications, regulated by the Object Management Group (OMG). They can be used as a presimulation technique to obtain solid models for the mining industry. In this work we present a new profile to extend the UML metamodel; in particular we focus on the activity diagram. This extended model is applied to an industry problem involving loading and transportation of minerals in the field of mining process.Fil: Giubergia, Andrea. Universidad Nacional de San Luis. Facultad de Ciencias Fisico- Matematicas y Naturales; ArgentinaFil: Riesco, Daniel. Universidad Nacional de San Luis. Facultad de Ciencias Fisico Matematicas y Naturales. Departamento de Informatica; ArgentinaFil: Gil Costa, Graciela Verónica. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Informática. Laboratorio Investigación y Desarrollo En Inteligencia Computacional; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico San Luis; ArgentinaFil: Printista, Alicia Marcela. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Informática. Laboratorio Investigación y Desarrollo En Inteligencia Computacional; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico San Luis; Argentin

S3Mining: A model-driven engineering approach for supporting novice data miners in selecting suitable classifiers

Data mining has proven to be very useful in order to extract information from data in many different contexts. However, due to the complexity of data mining techniques, it is required the know-how of an expert in this field to select and use them. Actually, adequately applying data mining is out of the reach of novice users which have expertise in their area of work, but lack skills to employ these techniques. In this paper, we use both model-driven engineering and scientific workflow standards and tools in order to develop named S3Mining framework, which supports novice users in the process of selecting the data mining classification algorithm that better fits with their data and goal. To this aim, this selection process uses the past experiences of expert data miners with the application of classification techniques over their own datasets. The contributions of our S3Mining framework are as follows: (i) an approach to create a knowledge base which stores the past experiences of experts users, (ii) a process that provides the expert users with utilities for the construction of classifiers? recommenders based on the existing knowledge base, (iii) a system that allows novice data miners to use these recommenders for discovering the classifiers that better fit for solving their problem at hand, and (iv) a public implementation of the framework?s workflows. Finally, an experimental evaluation has been conducted to shown the feasibility of our framework

Architectural Alignment of Access Control Requirements Extracted from Business Processes

Business processes and information systems evolve constantly and affect each other in non-trivial ways. Aligning security requirements between both is a challenging task. This work presents an automated approach to extract access control requirements from business processes with the purpose of transforming them into a) access permissions for role-based access control and b) architectural data flow constraints to identify violations of access control in enterprise application architectures

Warehousing and Analyzing Streaming Data Quality Information

The development of integrative IS architectures focuses typically on solving problems related to the functionality of the system. It is attempted to design optimally flexible interfaces that can achieve the most agile architecture. The quality of the data that will be exchanged across these interfaces is often disregarded (implicitly or explicitly). This results in distributed applications which are functionally correct but cannot be deployed due to the low quality of the data involved. In order to avoid wrong business decisions due to ‘dirty data’, quality characteristics have to be captured, processed, and provided to the respective business task. However, the issue of how to efficiently provide applications with information about data quality is still an open research problem. Our approach tackles the problems posed by data quality deficiencies by presenting a novel concept to stream and warehouse data together with its describing data quality information