Validating adequacy and suitability of business-IT alignment criteria in an inter-enterprise maturity model

Aligning requirements of a business with its information technology is currently a major issue in enterprise computing. Existing literature indicates important criteria to judge the level of alignment between business and IT within a single enterprise. However, identifying such criteria in an inter-enterprise setting – or re-thinking the existing ones – is hardly addressed at all. Business-IT alignment in such settings poses new challenges, as in inter-enterprise collaborations, alignment is driven by economic processes instead of centralized decision-making processes. In our research, we develop a maturity model for business-IT alignment in inter-enterprise settings that takes this difference into account. In this paper, we report on a multi-method approach we devised to confront the validation of the business-IT alignment criteria that we included in the maturity model. As independent feedback is critical for our validation, we used a focus group session and a case study as instruments to take the first step in validating the business-IT alignment criteria. We present how we applied our approach, what we learnt, and what the implications were for our model

Refinement of SDBC Business Process Models Using ISDL

Aiming at aligning business process modeling and software specification, the SDBC approach considers a multi-viewpoint modeling where static, dynamic, and data business process aspect models have to be mapped adequately to corresponding static, dynamic, and data software specification aspect models. Next to that, the approach considers also a business process modeling viewpoint which concerns real-life communication and coordination issues, such as meanings, intentions, negotiations, commitments, and obligations. Hence, in order to adequately align communication and dynamic aspect models, SDBC should use at least two modeling techniques. However, the transformation between two techniques unnecessarily complicates the modeling process. Next to that, different techniques use different modeling formalisms whose reflection sometimes causes limitations. For this reason, we explore in the current paper the value which the (modeling) language ISDL could bring to SDBC in the alignment of communication and behavioral (dynamic) business process aspect models; ISDL can usefully refine dynamic process models. Thus, it is feasible to expect that ISDL can complement the SDBC approach, allowing refinement of dynamic business process aspect models, by adding communication and coordination actions. Furthermore, SDBC could benefit from ISDL-related methods assessing whether a realized refinement conforms to the original process model. Our studies in the paper are supported by an illustrative example

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

Model-Driven Development of Context-Aware Services

Abstract. In this paper, we define a model-driven design trajectory for contextaware services consisting of three levels of models with different degrees of abstraction and platform independence. The models at the highest level of platform independence describe the behaviour of a context-aware service and its environment from an integrated perspective. The models at the intermediate level describe abstract components, which realize the context-aware service in terms of a service-oriented abstract platform. At the lowest level, the realization of a context-aware service is described in terms of specific target technologies, such as Web Services, BPEL and Parlay technologies. Our approach allows service designers to concentrate their efforts on the services they intend to create and offer, by facilitating the handling of context information and automating design steps through model transformation. In addition, our approach enables the reuse of platform-independent models for different target platforms

Enterprise modeling using the foundation concepts of the RM-ODP ISO/ITU standard

Enterprise architecture (EA) projects require analyzing and designing across the whole enterprise and its environment. Enterprise architects, therefore, frequently develop enterprise models that span from the markets in which the organization operates down to the implementation of the IT systems that support its operations. In this paper, we present SEAM for EA: a method for defining an enterprise model in which all the systems are systematically represented with the same modeling ontology. We base our modeling ontology on the foundation modeling concepts defined in Part 2 of ISO/ITU Standard "Reference Model of Open Distributed Processing” (RM-ODP). This work has two contributions to enterprise architecture: the SEAM for EA method itself and the use of Part 2 of the RM-ODP standard as a modeling ontolog

A Pattern-based Approach to Quantitative Enterprise Architecture Analysis

Enterprise Architecture (EA) management involves tasks that substantially contribute to the operations of an enterprise, and to its sustainable market presence. One important aspect of this is the availability of services to customers. However, the increasing interconnectedness of systems with other systems and with business processes makes it difficult to get a clear view on change impacts and dependency structures. While management level decision makers need this information to make sound decisions, EA models often do not include quality attributes (such as availability), and very rarely provide quantitative means to assess them. We address these shortcomings by augmenting an information model for EA modeling with concepts from Probabilistic Relational Models, thus enabling quantitative analysis. A sample business case is evaluated as an example of the technique, showing how decision makers can benefit from information on availability impacts on enterprise business services

Data warehouse schema for monitoring key performance indicators (KPIs) for university teaching and learning using goal oriented approach

The growth and development of universities, just as other organisations, depend on their abilities to strategically plan and implement development blueprints which are in line with their vision and mission statements. The actualizations of these statements –which are often abstracted into goals and sub-goals and linked to their respective actors –are better measured by defined key performance indicators (KPIs). And in universities that handle modestly large and heterogeneous data, development of data warehouse is important. Specifically, Universiti Utara Malaysia (UUM) is yet to have a data warehouse for monitoring its organisational KPIs. This study therefore proposes a data warehouse schema for university’s KPIs for teaching and learning KPIs using a Requirement Goal Analysis for Data Warehouse KPI(ReGADaK)approach which is an extension of goal-oriented requirement analysis and design (GRAnD). The proposed schema highlights the facts, dimensions, attributes and measures of UUM’s teaching and learning unit. The measures from the goal analysis of this unit serve as basis of developing the related university’s KPIs. The proposed data warehouse schema is evaluated through expert review, prototyping and usability evaluation. The findings from the evaluation processes suggest that the proposed data warehouse schema is suitable for university’s KPIs for teaching and learning KPIs monitoring and practicable