1,261 research outputs found

    Domain modelling and the co-design of business rules in the telecommunication business area.

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    This paper discusses the development of an enterprise domain model in an environment where part of the domain knowledge is vague and not yet formalised in company-wide business rules. The domain model was developed for a young company starting in the telecommunications sector. The company relied on a number of stand-alone business support systems and sought for a manner to integrate them. There was opted for the development of an enterprise-wide domain model that had to serve as an integration layer to coordinate the stand-alone applications. A specific feature of the company was that it could build up its information infrastructure form scratch, so that many aspects of its business were still in the process of being defined. The paper will highlight parts of the Enterprise Model where there was a need for co-designing business rules together with the domain model. A result of this whole effort was that the company got more insight into important domain knowledge and developed a common understanding across functional areas of the way of doing business.domain modelling; business rules; object-oriented analysis; business process modelling;

    Management and architecture click: The FAD(E)E Framework.

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    Enterprises are living things. They constantly need to be (re-)architected in order to achieve the necessary agility, alignment and integration. This paper gives a high-level overview of how companies can go about doing 'enterprise architecture' in the context of both the classic (isolated) enterprise and the Extended Enterprise. By discussing the goals that are pursued in an enterprise architecture effort we reveal some basic requirements that can be put on the process of architecting the enterprise. The relationship between managing and architecting the enterprise is discussed and clarified in the FAD(E)E, the Framework for the Architectural Development of the (Extended) Enterprise.Management; Architecture; Framework;

    TesCaV: An Approach for Learning Model-based Testing and Coverage in Practice, Experimental Data

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    The data in this sheet provides the result of the exploratory experiment presented in the following paper: Beatriz Marín, Sofía Alarcón, Giovanni Giachetti, and Monique Snoeck. (2020) TesCaV: An Approach for Learning Model-based Testing and Coverage in Practice, in Fabiano Dalpiaz, Jelena Zdravkovic, Pericles Loucopoulos (eds), Proceedings of the 14th International Conference on Research Challenges in Information Science, LNCS, Springer

    Experiences with the use of MERODE in the development of a web based application.

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    This article presents an experience report on using MERODE as the business modeling method for the development of a web application. MERODE has several advantages as improving the flexibility and maintainability of applications and the possibility of doing automated verification and validation on the internal consistency of the model. The application's main functionalities were managing the organisation of events and managing the general information of a research group. The developed application was monitored in order to check its flexibility and maintainability and also to verify the feasibility of using the method. The results show that in fact the flexibility and maintainability of the application were satisfactory.

    Existence dependency: conceptual modelling by contract.

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    In Object Orientation, the Generalisation/Specialisation hierarchy and the Whole/Part relationship are prevalent classification schemes for object types. This paper presents a new classification scheme for object types, called 'existence dependency'. Existence dependency captures some of the interesting semantics that are usually associated with the concept of aggregation (Part of relation). In fact, the semantics of existence dependency are hidden in the semantics of the Entity Relationship model, but have never been explicitly named. We will demonstrate how the explicit classification of object types according to the existence dependency relation allows for formal and automatic consistency between static and dynamic aspects of object types that goes far beyond mere syntactical consistency.Classification; Dependency; Model;

    Swipe and tell: Using implicit feedback to predict user engagement on tablets

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    When content consumers explicitly judge content positively, we consider them to be engaged. Unfortunately, explicit user evaluations are difficult to collect, as they require user effort. Therefore, we propose to use device interactions as implicit feedback to detect engagement. We assess the usefulness of swipe interactions on tablets for predicting engagement and make the comparison with using traditional features based on time spent. We gathered two unique datasets of more than 250,000 swipes, 100,000 unique article visits, and over 35,000 explicitly judged news articles by modifying two commonly used tablet apps of two newspapers. We tracked all device interactions of 407 experiment participants during one month of habitual news reading. We employed a behavioral metric as a proxy for engagement, because our analysis needed to be scalable to many users, and scanning behavior required us to allow users to indicate engagement quickly. We point out the importance of taking into account content ordering, report the most predictive features, zoom in on briefly read content and on the most frequently read articles. Our findings demonstrate that fine-grained tablet interactions are useful indicators of engagement for newsreaders on tablets. The best features successfully combine both time-based aspects and swipe interactions.</p

    Reusing business models.

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    The focus of this paper is on the reuse of business models. It investigates how business models can be reused, how such reuse can be measured and what the consequences are for software development.Model; Models;

    Handling transactional business services.

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    This article discusses the handling of transactional business services, which are service compositions that orchestrate and coordinate underlying services to process a high-level business activity. The main contribution made in this article is the presentation of the pattern TBS handler, which describes how one can implement a transactional business service (TBS). This pattern functions as an overview pattern for a complete pattern language that is outlined in the text. This pattern language provides the appropriate ingredients for the implementation of a TBS. It is presented using thumbnails.

    Benchmarking conventional outlier detection methods

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    Nowadays, businesses in many industries face an increasing flow of data and information. Data are at the core of the decision-making process, hence it is vital to ensure that the data are of high quality and no noise is present. Outlier detection methods are aimed to find unusual patterns in data and find their applications in many practical domains. These methods employ different techniques, ranging from pure statistical tools to deep learning models that have gained popularity in recent years. Moreover, one of the most popular outlier detection techniques are machine learning models. They have several characteristics which affect the potential of their usefulness in real-life scenarios. The goal of this paper is to add to the existing body of research on outlier detection by comparing the isolation forest, DBSCAN and LOF techniques. Thus, we investigate the research question: which ones of these outlier detection models perform best in practical business applications. To this end, three models are built on 12 datasets and compared using 5 performance metrics. The final comparison of the models is based on the McNemar’s test, as well as on ranks per performance measure and on average. Three main conclusions can be made from the benchmarking study. First, the models considered in this research disagree differently, i.e. their type I and type II errors are not similar. Second, considering the time, AUPRC and sensitivity metrics, the iForest model is ranked the highest. Hence, the iForest model is the best in the cases when time performance is a key consideration as well as when the opportunity costs of not detecting an outlier are high. Third, the DBSCAN model obtains the highest ranking along the F1 score and precision dimensions. That allows us to conclude that if raising many false alarms is not an important concern, the DBSCAN model is the best to employ.</p

    Domain Modelling in Bloom: Deciphering How We Teach It

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    Part 1: Regular PapersInternational audienceDomain modelling is a crucial part of Enterprise Modelling and considered as a challenge in enterprise engineering education. Pedagogy for this subject is not systematized and teachers or book authors develop the curriculum based on their own experience and understanding of the subject. This leads to a wide diversity of pedagogical methods, learning paths and even drastic differences in the applied terminology. In this paper, we identified and classified learning outcomes from several educational resources on domain modelling according to the revised Bloom’s taxonomy of educational objectives. We identified the similarities and gaps among the resources, such as lack of evaluation-related tasks, as well as the insufficient presence of procedural knowledge related tasks. The examples of most popular tasks are given, along with the directions to the future development of a systematic educational framework and guidelines for domain modelling pedagogy
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