Root Cause Analysis in Business Processes

Conceptual modeling is an important tool for understanding and revealing weaknesses of business processes. Yet, the current practice in reengineering projects often considers simply the as-is control flow and uses the respective model barely as a reference for brain-storming about improvement opportunities. This approach heavily relies on the intuition of the participants and misses a clear description of steps to identify root causes of problems. In contrast to that, this paper introduces a systematic methodology to detect and document the quality dimension of a business process. It builds on the definition of softgoals for each process activity, of correlations between softgoals, and metrics to measure the occurrence of quality issues. In this regard our contribution is a foundation of root-cause analysis in business process modeling, and a conceptual integration of goal-based and activity-based approaches to capturing processes

Comparison of method chunks and method fragments for situational method engineering

Two main candidates for the atomic element to be used in Situational Method Engineering (SME) have been proposed: the “method fragment ” and the “method chunk”. These are examined here in terms of their conceptual integrity and in terms of how they may be used in method construction. Also, parallels are drawn between the two approaches. Secondly, the idea of differentiating an interface from a body has been proposed for method chunks (but not for method fragments). This idea is examined and mappings are constructed between the interface and body concepts of method chunks and the concepts used to describe method fragments. The new ISO/IEC 24744 standard metamodel is used as a conceptual framework to perform these mappings

Requirements of Process Modeling Languages – Results from an Empirical Investigation

The majority of large and mid-sized companies are active in BusinessProcess Management (BPM). Documenting business processesis a key task of BPM, but the variety of process modelinglanguages makes it difficult to determine ‘the best’ one. Basically,the suitability of a process modeling language depends on thecompanies’ requirements. In this paper we adopt a bird’s eye viewon the issue: By an empirical investigation of 130 publiccompanies from all over the world and any sector, we gather thecommon requirements of process modeling languages and usethem to assess the most popular ones (i.e., BPMN, UML ActivityDiagrams, Event-driven Process Chains). Our results show thatthese languages are (1) equally expressive and (2) presumablyequally understandable concerning the common core notion of‘business process’; thus, they can be used interchangeably.However, the BPMN is the most complex process modelinglanguage

GRIDCC - Providing a real-time grid for distributed instrumentation

The GRIDCC project is extending the use of Grid computing to include access to and control of distributed instrumentation. Access to the instruments will be via an interface to a Virtual Instrument Grid Service (VIGS). VIGS is a new concept and its design and implementation, together with middleware that can provide the appropriate Quality of Service (QoS), is a key part of the GRIDCC development plan. An overall architecture for GRIDCC has been defined and some of the application areas, which include distributed power systems, remote control of an accelerator and the remote monitoring of a large particle physics experiment, are briefly discussed.E

Understanding understandability of conceptual models - what are we actually talking about? - Supplement

Investigating and improving the quality of conceptual models has gained tremendous importance in recent years. In general, model understandability is regarded one of the most important model quality goals and criteria. A considerable amount of empirical studies, especially experiments, have been conducted in order to investigate factors in-fluencing the understandability of conceptual models. However, a thorough review and reconstruction of 42 experiments on conceptual model understandability shows that there is a variety of different understandings and conceptualizations of the term model understandability. As a consequence, this term remains ambiguous, research results on model understandability are hardly comparable and partly imprecise, which shows the necessity of clarification what the conceptual modeling community is actually talking about when the term model understandability is used. This contribution represents a supplement to the article „ Understanding understandability of conceptual models – What are we actually talking about?” published in the Proceedings of the 31st International Conference on Conceptual Modeling (ER 2012) which aimed at overcoming the above mentioned shortcoming by investigating and further clarifying the concept of model understandability. This supplement contains a complete overview of Table 1 (p. 69 in the original contribution) which could only be partly presented in the conference proceedings due to space limitations. Furthermore, an erratum concerning the overview in Table 2 (p. 71 in the original contribution) is presented

Personalizing Situated Workflows for Pervasive Healthcare Applications

In this paper, we present an approach where a workflow system is combined with a policy-based framework for the specification and enforcement of policies for healthcare applications. In our approach, workflows are used to capture entitiespsila responsibilities and to assist entities in fulfilling them. The policy-based framework allows us to express authorisation policies to define the rights that entities have in the system, and event-condition-action (ECA) policies that are used to adapt the system to the actual situation. Authorisations will often depend on the context in which patientspsila care takes place, and our policies support predicates that reflect the environment. ECA policies capture events that reflect the current state of the environment and can perform actions to accordingly adapt the workflow execution. We show how the approach can be used for the Edema treatment and how fine-grained authorisation and ECA policies are expressed and used

Competence Discovery and Composition

International audienceThe capture, the structuring and the exploitation of competences of an "object" (like a business partner, an employee, a software component, a Web service, etc.) are crucial problems in various applications, like cooperative and distributed applications or e\_business applications. The work we describe here concerns competence advertising, organization, discovery and composition. Indeed, one of the originality of the proposal is in the nature of the answers the intended system can return when seeking for individuals fitted with given competences: answers may be composite ones in that sense that when no single object meets the search criteria, we attempt to find out what a set of objects, when pooled together, do satisfy the whole search criteria. Conceptual Graphs (CGs) are used as a knowledge representation formalism and operations on graphs are used as a search mechanism. A client/server prototype, viewed as a federation of mediators, has been developed as a proof of concept

Interim research assessment 2003-2005 - Computer Science

This report primarily serves as a source of information for the 2007 Interim Research Assessment Committee for Computer Science at the three technical universities in the Netherlands. The report also provides information for others interested in our research activities

Generating eScience Workflows from Statistical Analysis of Prior Data

A number of workflow design tools have been developed specifically to enable easy graphical specification of workflows that ensure systematic scientific data capture and analysis and precise provenance information. We believe that an important component that is missing from these existing workflow specification and enactment systems is integration with tools that enable prior detailed analysis of the existing data - and in particular statistical analysis. By thoroughly analyzing the existing relevant datasets first, it is possible to determine precisely where the existing data is sparse or insufficient and what further experimentation is required. Introducing statistical analysis to experimental design will reduce duplication and costs associated with fruitless experimentation and maximize opportunities for scientific breakthroughs. In this paper we describe a workflow specification system that we have developed for a particular eScience application (fuel cell optimization). Experimental workflow instances are generated as a result of detailed statistical analysis and interactive exploration of the existing datasets. This is carried out through a graphical data exploration interface that integrates the widely-used open source statistical analysis software package, R, as a web service