Complex Systems Informatics and Modeling Quarterly
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LightCDD: Application of a Capability-Driven Development Method for Start-ups Development
Novice innovators and entrepreneurs face the risk of designing naive business models. In fact, lack of viability in business models is perceived to be a major threat for the start-up success. Both the literature and the responses we gathered from experts in incubation present evidences of this problem. The LightCDD method helps entrepreneurs in the analysis, design and specification of start-ups that are context aware and adaptive to contextual changes and evolution. In this article we describe the LightCDD method, a context-aware enterprise modeling method that is tailored for business model generation. The LightCDD applies a lightweight Capability‑Driven Development (CDD) methodology. It reduces the set of modeling constructs and guidelines to facilitate its adoption by entrepreneurs, yet keeping it expressive enough for their purposes and, at the same time, compatible with the CDD methodology. We provide a booklet with the LightCDD method for start-ups development. The feasibility of the LightCDD method is validated by means of its application to one start-up development case. From a practitioner viewpoint (entrepreneurs and experts in incubation), it is important to provide integrative modeling perspectives to specify business ideas, but it is vital to keep it light. The LightCDD is giving a step forward in this direction. From a researcher point of view, the LightCDD booklet facilitates the application of LightCDD to different start-up development cases. The feasibility validation has produced important feedback for further empirical validation exercises in which is necessary to study the scalability and sensitivity of LightCDD
Selected Topics on Business Information Systems: Editorial Introduction to Issue 11 of CSIMQ
Information and Communication Technology (ICT) plays an important role in enterprises, public authorities, inter-organizational networks, company clusters and other kinds of distributed organizations. Business, value creation and supporting activities in organizations are dependent on complex, distributed software and service systems operating in dynamic and often changing environments. In order to produce and supply products and services efficiently, organizations must be able to effectively exchange information between internal stakeholder groups and with external collaborators and customers. A high level of agility and interoperability is required when it comes to meeting the changing requirements from market or technical environments. The demand for interoperability exists at technological, business process and knowledge levels. Methods, theories and tools that ease change and adaptation of business processes, organizations and their supporting IT-systems are needed.The content of this issue presents novel research results in business information systems. Most of the articles in the issue originate from the 15th International Conference on Perspectives in Business Informatics Research (BIR 2016) in Prague (Czech Republic) and the 9th International Workshop on Information Logistics and Applications of Semantic Technologies (ILOG), which was co-located with BIR 2016.The five accepted articles address different technical and methodic aspects of business information systems and various their application fields
Static and Dynamic Aspects of Application Domains: An Inductively Defined Modeling Technique That Allows Decomposition
Modeling is one of the most important parts of requirements engineering. Most modeling techniques focus primarily on their pragmatics and pay less attention to their syntax and semantics. Different modeling techniques describe different aspects, for example, Object-Role Modeling (ORM) describes underlying concepts and their relations while System Dynamics (SD) focuses on the dynamic behavior of relevant objects in the underlying application domain. In this paper we provide an inductive definition for a generic modeling technique. Not only do we describe the underlying data structure, we also show how states can be introduced for relevant concepts and how their life cycles can be modeled in terms of System Dynamics. We also show how decomposition can be applied to master complex application domains. As a result we get an integrated modeling technique covering both static and dynamic aspects of application domains. The inductive definition of this integrated modeling technique will facilitate the implementation of supporting tools for practitioners
Big Multidimensional Datasets Visualization Using Neural Networks – Efficient Decision Support
Nowadays business information systems are thought of as decision-oriented systems supported by different types of subsystems. Multidimensional data visualization is an essential part of such systems. As datasets tend to be increasingly large, more effective ways are required to display, analyze and interpret information they contain. Most of the classical visualization methods are unsuitable for large datasets. This paper focuses on the artificial neural networks-based methods for visualization of big multidimensional datasets; namely, on the approaches for the faster obtaining of visual results. The new strategy, which is identified by the decreased number of cycles of data reviews (passes of training data) up to the only one, when training neural networks, is proposed. To test this strategy, the results of experiments, using two unsupervised learning methods on benchmark data, are briefly presented
Employing Ontology-Alignment and Locality-Sensitive Hashing to Improve Attribute Interoperability in Federated eID Systems
Achieving interoperability, i.e. creating identity federations between different Electronic identities (eID) systems, has gained relevance throughout the past years. A serious problem of identity federations is the missing harmonization between various attribute providers (APs). In closed eID systems, ontologies allow a higher degree of automation in the process of aligning and aggregating attributes from different APs. This approach does not work for identity federations, as each eID system uses its own ontology to represent its attributes. Furthermore, providing attributes to intermediate entities required to align and aggregate attributes potentially violates privacy rules. To tackle these problems, we propose the use of combined ontology-alignment (OA) approaches and locality-sensitive hashing (LSH) functions. We assess existing implementations of these concepts defining and using criteria that are special for identity federations. Obtained results confirm that proper implementations of these concepts exist and that they can be used to achieve interoperability between eID systems on attribute level. A prototype is implemented showing that combining the two assessment winners (AlignAPI for ontology-alignment and Nilsimsa for LSH functions) achieves interoperability between eID systems. In addition, the improvement obtained in the alignment process by combining the two assessment winners does not impact negatively the privacy of the user’s data, since no clear-text data is exchanged in the alignment process
GestUI: A Model-driven Method and Tool for Including Gesture-based Interaction in User Interfaces
Among the technological advances in touch-based devices, gesture-based interaction have become a prevalent feature in many application domains. Information systems are starting to explore this type of interaction. As a result, gesture specifications are now being hard-coded by developers at the source code level that hinders their reusability and portability. Similarly, defining new gestures that reflect user requirements is a complex process. This paper describes a model-driven approach to include gesture-based interaction in desktop information systems. It incorporates a tool prototype that captures user-sketched multi-stroke gestures and transforms them into a model by automatically generating the gesture catalogue for gesture-based interaction technologies and gesture-based user interface source codes. We demonstrated our approach in several applications ranging from case tools to form-based information systems
A Method for Software Requirement Volatility Analysis Using QFD
Changes of software requirements are inevitable during the development life cycle. Rather than avoiding the circumstance, it is easier to just accept it and find a way to anticipate those changes. This paper proposes a method to analyze the volatility of requirement by using the Quality Function Deployment (QFD) method and the introduced degree of volatility. Customer requirements are deployed to software functions and subsequently to architectural design elements. And then, after determining the potential for changes of the design elements, the degree of volatility of the software requirements is calculated. In this paper the method is described using a flow diagram and illustrated using a simple example, and is evaluated using a case study
An Improved Model Facet Method to Support EA Alignment
Information System evolution requires a well-structured Enterprise Architecture and its rigorous management. The alignment of the elements in the architecture according to various abstraction layers may contribute to the management but appropriate tools are needed. We propose improvements to the Facet technique and we develop accompanying tools to master the difficulties of the alignment of the models used to structure an Enterprise Architecture. This technique has been experimented on many real life cases to demonstrate the effectiveness of our EA alignment method. The tools are already integrated in the Eclipse EMF Facet project
Selected Topics on Information Systems Engineering: Editorial Introduction to Issue 9 of CSIMQ
This issue of the journal of Complex Systems Informatics and Modeling (CSIMQ) presents papers that discuss selected topics on information systems engineering. The papers are extended versions of selected papers from the CAiSE Forum 2016 held in Ljubljana, Slovenia. The CAiSE Forum is a place within the International Conference on Advanced Information Systems Engineering for disseminating and debating new ideas and tools related to this area
Selected Topics on Managing Complexity and Information Systems Engineering: Editorial Introduction to Issue 8 of CSIMQ
Business process models greatly contribute to analyze and understand the activities of enterprises. However, it is still a challenge to cope with the complexity of systems specifications and their requirements. This issue of the journal of Complex Systems Informatics and Modeling (CSIMQ) presents papers that discuss topics on managing complexity and information systems engineering. The papers are extended versions of selected papers from the workshop on Continuous Requirements Engineering held at the requirements engineering conference REFSQ 2016 in Gothenburg, the workshop on Managed Complexity held at the business informatics conference BIR 2016 in Prague, and the CAiSE 2016 Forum held in Ljubljana