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2012 | Buch

Enterprise, Business-Process and Information Systems Modeling

13th International Conference, BPMDS 2012, 17th International Conference, EMMSAD 2012, and 5th EuroSymposium, held at CAiSE 2012, Gdańsk, Poland, June 25-26, 2012. Proceedings

herausgegeben von: Ilia Bider, Terry Halpin, John Krogstie, Selmin Nurcan, Erik Proper, Rainer Schmidt, Pnina Soffer, Stanisław Wrycza

Verlag: Springer Berlin Heidelberg

Buchreihe : Lecture Notes in Business Information Processing

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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Über dieses Buch

This book contains the refereed proceedings of the 13th International Conference on Business Process Modeling, Development and Support (BPMDS 2012) and the 17th International Conference on Exploring Modeling Methods for Systems Analysis and Design (EMMSAD 2012), held together with the 24th International Conference on Advanced Information Systems Engineering (CAiSE 2012) in Gdańsk, Poland, in June 2012.

The 17 papers accepted for BPMDS were selected from 48 submissions and cover a wide spectrum of issues related to business process development, modeling, and support. They are grouped into sections on business process in the cloud, advanced BPM in an organizational context, similarity, variations and configuration, BPM and requirements engineering, humans and business process models, and BPM technologies using computational methods.

The 13 papers accepted for EMMSAD were chosen from 28 submissions and focus on exploring, evaluating, and enhancing current information modeling methods and methodologies. They are grouped in sections on modeling of enterprise architecture, modeling facts and rules, business process modeling, modeling of non-functional requirements, safety modeling and analysis, quality of models and modeling languages, and supporting the learning of conceptual modeling.

Inhaltsverzeichnis

Frontmatter

BPMDS

Business Process in the Cloud (1)

Scalable Business Process Enactment in Cloud Environments

Abstract

Business processes have to be enacted with increasing numbers of instances and under a growing pressure to reduce the cost of process enactment. Cloud computing provides scalable computing resources as utility at low cost. Therefore, this paper introduces service systems as new, cloud-based architecture for the scalable and flexible enactment of business processes.

Rainer Schmidt

Preparing for the Era of Cloud Computing: Towards a Framework for Selecting Business Process Support Services

Abstract

The shift to the cloud computing creates new opportunities for the IT usage in business. New standard and customizable services that do not require high initial investment allow business people to choose services to support their business activities without involving technicians. Business process solutions providers are already moving their products to the cloud offering them as services. The question arises of how a business person, e.g. a department manager, can decide on which service suits best his/her needs. The paper investigates this issue in respect to the services that provide fully customizable operational support to business processes. The paper suggests a practical framework for defining requirements based on characteristics of the process to be supported by the service. The framework determines the needs of such capabilities as process flow support, shared spaces, team collaboration, etc., based on the high-level analysis of a process in question. The framework is aimed at serving as a basis for designing a practical methodology for selecting business process support services.

Ilia Bider, Erik Perjons

Advanced BPM in an Organizational Context

A Platform for Recombining Process Knowledge Chunks

Abstract

We describe ReKon, a platform that contains fine-granular templates, each describing a process knowledge chunk, which may be combined, as needed, to support ad hoc processes needed in large projects. The platform allows user-lead (re)-construction of a process to deal with the unique and emergent needs of a project by leveraging prior knowledge encoded in process chunks. We have populated ReKon with process chunks created from more than 1200 real-world project templates contributed by four consulting organizations. The fine-granularity of process chunks contained in ReKon represents a direct response to the emergent nature of large projects that defies high-volume production processes. The paper develops the underlying meta-model and operations for ReKon that adapt and extend the combination quadrant in Nonaka and Takeuchi’s knowledge creation framework. A two-phase evaluation illustrates the need for ReKon and points to its potential usefulness.

Sandeep Purao, Arvind Karunakaran, Brian Cameron

An Exploratory Study on Collaboratively Conceptualizing Knowledge Intensive Processes

Abstract

The relevance of the knowledge involved in organizational activities has already been addressed since earliest management theories. In this context, several works in the literature discuss how a so-called Knowledge Intensive Process (KIP) may be better understood and managed. The first step towards these goals is the identification of its elements. This is not a trivial task, since KIP involve many subjective and complex concepts that are typically tacit to stakeholders, and thus subject to different interpretations. However, a common interpretation of a KIP among all its participants is essential to prevent communication and comprehension problems. This paper presents an ontology that defines concepts and relationships of a KIP. We discuss the results of an exploratory study where a KIP was described by its participants in a collaborative manner, using a storytelling technique. The goal was to explore the use of the ontology as a basis for identifying the elements within the process description.

Juliana Baptista dos Santos França, Joanne Manhães Netto, Juliana do E.S. Carvalho, Flávia Maria Santoro, Fernanda Araujo Baião, Mariano Pimentel

A Proposal for Ownership Representation in the Context of Business Process Models

Abstract

The literature on Business Process Management (BPM) confirms the importance of establishing process ownership but conventional approaches as BPMN or EPC do not offer a way to represent the process owner. The aspect-oriented business process (AO-BPM) approach makes this issue more prominent because of the separation between crosscutting concerns and the core elements of a process. In this paper we present a way to represent the ownership based on the Strategic Actor model from i* and incorporate this approach to the EPC meta-model. We also provide a proof of concept by means of an example that illustrates our solution.

Fabiana Jack Nogueira Santos, Julio Cesar Sampaio do Prado Leite, Claudia Cappelli, Flávia Maria Santoro, Thaís Vasconcelos Batista

BPM and Requirements Engineering

Modeling Security Requirements in Service Based Business Processes

Abstract

Non-functional concerns such as security are essential in business process management and in service based realizations of business processes. Many works and efforts addressed these concerns on the service layer by developing a number of XML-based standards such as WS-Security and other WS-* standards. However, there are non-functional properties that are on the business process layer and need therefore to be specified in business process models. We notice nevertheless that current business process modeling languages lack appropriate means for specifying non-functional properties such as security for example. In this paper, we present a model driven approach for the development of service based business processes which supports both functional and non functional concerns. We also introduce the concept of profiles to BPMN in analogy to UML Profiles. Based on that, we present a BPMN profile to specify security properties in business process models and illustrate its usage through an example.

Sameh Hbaieb Turki, Farah Bellaaj, Anis Charfi, Rafik Bouaziz

A Conceptual Foundation of Requirements Engineering for Business Information Systems

Abstract

Requirements engineering (RE) is a crucial discipline when developing software systems. Applying RE activities successfully in the domain of business information systems (BIS) requires a deep and common understanding on how concepts of RE and business analysis are related. We consider this fact as being a challenge as currently no commonly accepted RE process exits that bridges the gap between these two disciplines. This results in unclear mappings and finally makes it difficult to align methods that exist in both areas. To tackle this challenge, we propose a reference issue model that aims to capture definitions and relations of the issues that are typically relevant in BIS development. In this context, we describe our followed research approach, an underlying meta-model as well as an exemplary instantiation and usage of the reference issue model. This contribution shall serve as a foundation for the integration of RE and business analysis as well as for the development of corresponding analysis approaches.

Sebastian Adam, Norman Riegel, Anne Gross, Oezguer Uenalan, Simon Darting

Similarity, Variations, Configuration

Local Behavior Similarity

Abstract

Business process models explicitly capture an organization’s operations and thus are essential to a process oriented organization. Typically, hundreds or thousands of models are stored in business process repositories. Effective capabilities to manage and, in particular, search are required to leverage stored business process models.

Yet, search remains a challenge, because business processes cannot easily be compared. Existing approaches to process similarity do not support queries that are significantly smaller than sought models and contain only few, yet important, aspects.

In this paper, we introduce a novel approach to behavioral similarity search that is sensitive to local behavior inclusion, i.e., it will feature models that contain the behavior of a query. This is achieved by comparing local behavioral relationships of a query model with global relationships of candidate models. We present the formal foundation of this approach, derive a similarity measure, and illustrate the applicability of our approach, also with respect to complexity.

Matthias Kunze, Mathias Weske

Towards Customer-Individual Configurations of Business Process Models

Abstract

Nowadays business process models are a common approach to describe and analyse existing business processes and to create new processes in a structured way. However, with growing complexity of process models there is a lack of comprehensibility. Using existing notations, it is challenging or even impossible to define temporal and logical constraints between process steps that are not directly connected. We demonstrate a declarative approach for representing business processes that allows for configuration, i.e. selection of process steps, based on a component representation. In addition, we present ways to transform a configuration into a procedural process model using BPMN.

Michael Becker, Stephan Klingner

Identifying and Classifying Variations in Business Processes

Abstract

Many business processes exist not as singular entities but rather as a plurality of variants that need to be collectively managed. The spectrum of approaches for managing collections of process variants range from capturing all variants in a large consolidated model, down to capturing each variant as a separate model. Most of these approaches are built on the assumption that the variation points and variation drivers are given as input. The question of how process variation is elicited and conceptualized in the first place has received relatively little attention. As a step to filling this gap, this paper puts forward a framework for identifying and classifying variation drivers in business processes. We apply the framework on two collections of process models: one consisting of a collection of process models implicitly clustered along product type and the other one along market type. In both cases, the framework allowed us to identify and to classify additional variation drivers that were not evident from the initial clustering.

Fredrik Milani, Marlon Dumas, Raimundas Matulevičius

Humans and Business Process Models

Modeling Styles in Business Process Modeling

Abstract

Research on quality issues of business process models has recently begun to explore the process of creating process models. As a consequence, the question arises whether different ways of creating process models exist. In this vein, we observed 115 students engaged in the act of modeling, recording all their interactions with the modeling environment using a specialized tool. The recordings of process modeling were subsequently clustered. Results presented in this paper suggest the existence of three distinct modeling styles, exhibiting significantly different characteristics. We believe that this finding constitutes another building block toward a more comprehensive understanding of the process of process modeling that will ultimately enable us to support modelers in creating better business process models.

Jakob Pinggera, Pnina Soffer, Stefan Zugal, Barbara Weber, Matthias Weidlich, Dirk Fahland, Hajo A. Reijers, Jan Mendling

Expressiveness and Understandability Considerations of Hierarchy in Declarative Business Process Models

Abstract

Hierarchy has widely been recognized as a viable approach to deal with the complexity of conceptual models. For instance, in declarative business process models, hierarchy is realized by sub-processes. While technical implementations of declarative sub-processes exist, their application, semantics, and the resulting impact on understandability are less understood yet—this research gap is addressed in this work. In particular, we discuss the semantics and the application of hierarchy and show how sub-processes enhance the expressiveness of declarative modeling languages. Then, we turn to the impact on the understandability of hierarchy on a declarative process model. To systematically assess this impact, we present a cognitive-psychology based framework that allows to assess the possible impact of hierarchy on the understandability of the process model.

Stefan Zugal, Pnina Soffer, Jakob Pinggera, Barbara Weber

Integrating Ordinary Users into Process Management: Towards Implementing Bottom-Up, People-Centric BPM

Abstract

Despite its increasing success in organizations, traditional BPM embodies a top-down approach performed by a small group of experts, limiting process stakeholders to part-time information providers, hindering proactive contributions. In this paper, we argue that BPM can benefit from being complemented with a bottom-up and people-centric strategy, allowing for interventions by process stakeholders. However, this cannot be realized by turning ordinary users into BPM or modeling experts. Instead, there is a need to find appropriate means to engage these people into BPM, process development and modeling. In this paper, we present two explorative empirical studies exploring such means. As a result of analyzing these studies, we present five proposals towards the implementation of stakeholder involvement. Our work does not want to replace existing BPM procedures, but to complement them. Thus, it is a starting point for further research and as an opportunity to join forces with other researchers pursuing similar goals.

Michael Prilla, Alexander Nolte

BPM Technologies Using Computational Methods

Optimized Time Management for Declarative Workflows

Abstract

Declarative process models are increasingly used since they fit better with the nature of flexible process-aware information systems and the requirements of the stakeholders involved. When managing business processes, in addition, support for representing time and reasoning about it becomes crucial. Given a declarative process model, users may choose among different ways to execute it, i.e., there exist numerous possible enactment plans, each one presenting specific values for the given objective functions (e.g., overall completion time). This paper suggests a method for generating optimized enactment plans (e.g., plans minimizing overall completion time) from declarative process models with explicit temporal constraints. The latter covers a number of well-known workflow time patterns. The generated plans can be used for different purposes like providing personal schedules to users, facilitating early detection of critical situations, or predicting execution times for process activities. The proposed approach is applied to a range of test models of varying complexity. Although the optimization of process execution is a highly constrained problem, results indicate that our approach produces a satisfactory number of suitable solutions, i.e., solutions optimal in many cases.

Irene Barba, Andreas Lanz, Barbara Weber, Manfred Reichert, Carmelo Del Valle

MobiQ: Mobile Based Processes for Efficient Customer Flow Management

Abstract

Queues are still a part of the everyday life, though Internet and mobile technologies are already available. Queues are formed whenever a bottleneck of customer demand for a service appears. There are workarounds for customer flow management or queue management in order to provide a level of freedom to the customers such as queue ticket numbers. However, there can be many more things that can be done to free additional time for the customer until his/her turn comes to be services. In this work, we propose an solution framework for servicing customer flow with live feedback. Our goal is to improve customers’ experience and Quality of Services (QoS), by integrating mobile access with Short Message Service (SMS) to improve customer flow in popular crowded services, where long queues are created. A fully functioning real life prototype is presented, demonstrating the feasibility and effectiveness in terms of time and effort.

Mersini Paschou, Evangelos Sakkopoulos, Efrosini Sourla, Athanasios Tsakalidis

Enabling Probabilistic Process Monitoring in Non-automated Environments

Abstract

Business processes are crucial for every organisation as they represent the core value generating processes. Managing business processes is important to be efficient and to compete with a globalized market. Business process monitoring is an essential means to understand and to improve working procedures. It helps detecting deviations from planned procedures and brings transparency into the state and progress of running process instances. However, without automated execution of business processes via a workflow engine, the absence of execution information hampers monitoring. Often, the automated execution of business processes is neither feasible nor desirable. However, a few monitoring points can be used, when process participants interact with IT-systems.

In this paper, we propose a novel approach to business process monitoring using probabilistic estimations to fill information for missing monitoring points. The applicability of the approach is evaluated with a case study in a German university hospital.

Andreas Rogge-Solti, Mathias Weske

Business Process in the Cloud (2)

Raw Materials for Business Processes in Cloud

Abstract

The commonalities and differences between business processes of enterprises depend on the level of abstraction at which the processes are represented. At the lower levels of abstraction the processes are complex and their variations cannot be shown by business process frames of higher levels of abstraction. However there are some parts of processes that are common to many enterprises or several units in an enterprise, for instance, the process parts which must conform to particular regulations. The paper proposes an approach for managing regulation dependent business process parts in cloud. The purpose of the approach is to minimize the total time, which enterprises use for incorporation of regulations in their business processes.

Marite Kirikova, Ilze Buksa, Ludmila Penicina

EMMSAD

Modeling of Enterprise Architecture

Model-Driven Strategic Awareness: From a Unified Business Strategy Meta-Model (UBSMM) to Enterprise Architecture

Abstract

Business strategy should be well understood in order to support an enterprise to achieve its vision and to define an architecture supporting that vision. While business views are identified in many Enterprise Architecture (EA) proposals, business strategy formulations from the area of Strategic Management are overlooked. Thus, IT solutions cannot be traced back to business strategy in a clear and unambiguous way. Our intended proposal, a Unified Business Strategy Meta-Model (UBSMM), aims at establishing such a link. UBSMM is a formalization of the integration of known business strategy formulations with precise semantics enabling its model-level usage to provide strategic awareness to Enterprise Architecture. In this paper we present the development process of UBSMM, and further, we propose conceptual relationships towards Enterprise Architecture (EA).

Constantinos Giannoulis, Jelena Zdravkovic, Michaël Petit

On Transforming DEMO Models to ArchiMate

Abstract

ArchiMate is an established enterprise architecture modelling language that allows organizations to be modelled from a holistic perspective. As a result, its modelling constructs are coarse grained by design and architects may feel that they do not get enough guidance from the language in producing ArchiMate models. To address this issue, we suggest using methods with a more refined semantics and elaborated modelling guidance, as a ‘front-end’ to ArchiMate. In this paper, we will show how the DEMO method can indeed be used as a front-end to ArchiMate, where we will focus on the automatic transformation of DEMO models to ArchiMate models. This is done by creating a formal link between DEMO and ArchiMate with additional benefits of linking DEMO’s key modelling concept of transactions, being as (socio-economic) commitments between actors, to ArchiMate. Specifically, we provide a formal approach that can be used to transform DEMO models into ArchiMate models. In addition, we provide a software implementation of our approach which is illustrated by means of an illustrative case study from the insurance domain.

Sybren de Kinderen, Khaled Gaaloul, H. A. (Erik) Proper

Modeling Facts and Rules

Form-and-Fact Based Modeling

Abstract

A conceptual data model for an information system specifies the fact structures of interest as well as the constraints and derivation rules that apply to the business domain being modeled. Fact-based modeling approaches provide rich graphical and textual languages for specifying conceptual data models, using attribute-free fact structures that enable models to be verbalized and populated in natural sentences that are easily understood by the domain experts best qualified to validate the models. Form-based modeling approaches offer a natural way for domain users to agree upon suitable user interfaces for interacting with the information system. This paper proposes a synthesis of the two approaches, in which prototype forms are used to seed the conceptual data model, which is then used to generate the final user interface. Semantic and practical aspects of form design are discussed, and screen transition diagrams are employed to help visualize and validate the underlying dynamic processes.

Terry Halpin, Gerald Weber

A Framework for Relating Business Constraints to Information Systems

Abstract

Many previous attempts at classifying business rules rely on over-simplistic frameworks that conflate business concerns with technical features. Such frameworks hamper traceability between information systems and business needs and can lead to paradoxes that are difficult to reconcile. This paper offers an alternative framework for business constraints, including those that can be embodied in information systems. We assume that such information systems are likely to be automated, but the proposed scheme does not rely on any automation. The paper uses several examples to illustrate the issues that arise with current classification frameworks and the benefits that a more realistic framework can provide.

Andrew Carver, Tony Morgan

Business Process Modeling

Perspectives to Process Modeling – A Historical Overview

Abstract

Processes modeling is done for a number of reasons in relation to enterprise modeling, business process modeling and information systems development in general, and this paper will give an overview of main approaches to different types of process modeling. Modeling approaches are structured according to the main modeling perspective being used. In conceptual modeling in general, one can identify 8 modeling perspectives; behavioral, functional, structural, goal-oriented, object-oriented, language action, organizational and topological. In the paper we will present both historical and current examples of process modeling according to these different perspectives, and discuss what perspectives are most appropriate to achieve the different goals of modeling.

John Krogstie

On the Dynamic Configuration of Business Process Models

Abstract

Business Process Models are a relevant input for the development of information systems. Since processes are performed in increasingly dynamic business environments, the processes are required to be flexible and dynamic as well, adapting to environmental changes. Thus, it is essential to properly represent variability in Business Process Models. Moreover, in order to allow for adaptive and autonomic systems, it is of paramount importance to reason on the variability of a process, being able to select a process configuration for a given context. In this paper, we present an approach for such context-aware reasoning, on which the business process configuration is driven by Non-Functional Requirements. Using independent models for expressing variability representation, configuration knowledge, contextual information, and the process itself, we present algorithms and mechanisms to perform business process configuration at runtime. Furthermore, we describe experiments we conducted in order to assess the suitability of our approach.

Emanuel Santos, João Pimentel, Jaelson Castro, Anthony Finkelstein

Modeling of Non-functional Requirements

A Combined Process for Elicitation and Analysis of Safety and Security Requirements

Abstract

The aim of safety and security assessments are very similar since they both consider harm during system development. However, they apply different means for it and are performed in separated processes. As security and safety areas are merging in new systems that are critical, and more openly interconnected, there is a need to relate the different processes during the development. A combined assessment process could save resources compared to separated safety and security assessments, as well as support the understanding of mutual constraints and the resolution of conflicts between the two areas. We suggest a combined method covering the harm identification and analysis part of the assessment process using UML-based models. The process is applied on a case from the Air Traffic Management domain. Experts’ opinions about the results have also been collected for feedback.

Christian Raspotnig, Peter Karpati, Vikash Katta

Optimizing Monitoring Requirements in Self-adaptive Systems

Abstract

Monitoring the system environment is a key functionality of a self-adaptive system. Monitoring requirements denote the information a self-adaptive system has to capture at runtime to decide upon whether an adaptation action has to be taken. The identification of monitoring requirements is a complex task which can easily lead to redundancy and uselessness in the set of information to monitor and this, consequently, means unjustified instalment of monitoring infrastructure and extra processing time. In this paper, we study the optimization of monitoring requirements. We discuss the case of contextual goal model, which is a requirements model that weaves between variability of goals (functional and non-functional requirements) and variability of context (monitoring requirements) and is meant to be used for modelling mobile and self-adaptive systems requirements. We provide automated analysis —based on a SAT-solver— to process a contextual goal model and find a reduced set of contextual information to monitor guaranteeing that this reduction does not sacrifice the system ability of taking correct adaptation decisions when fulfilling its requirements.

Raian Ali, Alberto Griggio, Anders Franzén, Fabiano Dalpiaz, Paolo Giorgini

Safety Modeling and Analysis

Identifying Safety Hazards: An Experimental Comparison of System Diagrams and Textual Use Cases

Abstract

As ICT is increasingly used in critical systems, safety is a growing concern. Safety hazards should be discovered and handled at an early stage of IS development, since it is much more expensive to redesign a system post hoc due to threats that were initially overlooked. It is therefore interesting to integrate safety analysis with textual and diagrammatic specifications used in mainstream system development. This paper reports on an experiment comparing how well system diagrams and textual uses cases support the identification of hazards in a simple railway control system. The two most important conclusions are that textual uses cases are as good as or better than system diagrams for hazard identification in all cases except for peripheral equipment and that including system diagrams in the documentation is not enough − they must be brought into focus for the analysis.

Tor Stålhane, Guttorm Sindre

Towards Tool Support for Design and Safety Analysis of High Consequence Arming Systems Using Matlab

Abstract

High consequence arming systems are designed to prevent unwanted external (or potentially internal) energy flowing to a critical component without intention. The hazard analysis of such systems can be a slow and difficult manual process, potentially repeated in various life-cycle phases or on multiple design options. This paper details a simulation tool under development at AWE to provide a fast and repeatable analysis process. The simulation generates a set of possible paths along which different energy types could potentially propagate through the system. Behaviour identified by the tool can support the design of the system and selection of an architecture providing assurance of safety whilst still providing reliability. We present an outline of the model development process, results from its use with a case study and demonstrate the advantages over manual analysis. A number of limitations of the current implementation are discussed, we then propose future work aimed at alleviating some of these issues.

Dan Slipper, Wilson Ifill, Gordon Hunter, Roger Green, Richard Johnson, Alistair A. McEwan

Quality of Models and Modeling Languages

Towards the Reconstruction and Evaluation of Conceptual Model Quality Discourses – Methodical Framework and Application in the Context of Model Understandability

Abstract

Within the information systems (IS) discipline conceptual models have gained tremendous importance in the past years. Different approaches for systematic model quality evaluation have emerged. However, these approaches are based on different understandings, definitions as well as operationalizations of the term “model quality”. In this article we refrain from conceptualizing and operationalizing model quality a priori. In contrast, assuming that the determination of model quality and appropriate criteria are negotiated in a discourse between modelers and model users based on their different perspectives, we develop a methodical framework for the critical reconstruction and evaluation of conceptual model quality discourses in order to identify relevant model quality criteria and understandings. Our method is exemplarily applied for the reconstruction of the discourse on the quality criterion model understandability based on relevant laboratory experiments. This application shows that many research results on model understandability are hardly comparable due to their different basic assumptions and should preferably be interpreted based on a methodical reconstruction of underlying understandings.

Peter Fettke, Constantin Houy, Armella-Lucia Vella, Peter Loos

Semiotic Considerations for the Design of an Agent-Oriented Modelling Language

Abstract

Building on published guidelines for good design practice as applied to the creation of modelling languages, we consider the creation of an appropriate notation for a domain-specific modelling language for supporting agent-oriented information systems design. We begin by analyzing extant metamodels, in particular that for FAML, in order to visualize these ontological concepts as a concrete syntax that adheres to semiotic principles and good design heuristics. We seek a notation that is easy to understand by industry users, is ontologically correct and is underpinned by some theory – expressed here as the FAML metamodel.

Brian Henderson-Sellers, Graham Low, Cesar Gonzalez-Perez

Supporting the Learning of Conceptual Modeling

Technology-Enhanced Support for Learning Conceptual Modeling

Abstract

This paper describes an optimized didactic environment to support and improve learning achievements for conceptual modeling. In particular, it describes computer-aided techniques to address various learning challenges observed in the teaching process such as: hybrid background of students, enrollment of a large number of students, the complexity of industrial tools and difficulties in abstract thinking. The didactic environment has been developed and subsequently optimized in the context of the course Architecture and Modeling of Management Information Systems. It includes 1) diagnostic testing with automated feedback 2) an adapted modeling tool 3) an MDA based simulation feature. The didactic tools were evaluated positively by the students and a positive impact was observed on the student’s capabilities to construct object-oriented conceptual models.

Gayane Sedrakyan, Monique Snoeck

Backmatter

Titel: Enterprise, Business-Process and Information Systems Modeling
herausgegeben von: Ilia Bider
Terry Halpin
John Krogstie
Selmin Nurcan
Erik Proper
Rainer Schmidt
Pnina Soffer
Stanisław Wrycza
Verlag: Springer Berlin Heidelberg
Electronic ISBN: 978-3-642-31072-0
Print ISBN: 978-3-642-31071-3
DOI: https://doi.org/10.1007/978-3-642-31072-0