Informatik
Refine
Document Type
- Conference proceeding (72)
- Book chapter (14)
- Journal article (13)
- Anthology (10)
- Doctoral Thesis (8)
- Book (7)
- Patent / Standard / Guidelines (2)
- Report (1)
- Working Paper (1)
Has full text
- no (128) (remove)
Is part of the Bibliography
- yes (128) (remove)
Institute
- Informatik (128)
- ESB Business School (1)
Publisher
Data collected from internet applications are mainly stored in the form of transactions. All transactions of one user form a sequence, which shows the user´s behaviour on the site. Nowadays, it is important to be able to classify the behaviour in real time for various reasons: e.g. to increase conversion rate of customers while they are in the store or to prevent fraudulent transactions before they are placed. However, this is difficult due to the complex structure of the data sequences (i.e. a mix of categorical and continuous data types, constant data updates) and the large amounts of data that are stored. Therefore, this thesis studies the classification of complex data sequences. It surveys the fields of time series analysis (temporal data mining), sequence data mining or standard classification algorithms. It turns out that these algorithms are either difficult to be applied on data sequences or do not deliver a classification: Time series need a predefined model and are not able to handle complex data types; sequence classification algorithms such as the apriori algorithm family are not able to utilize the time aspect of the data. The strengths and weaknesses of the candidate algorithms are identified and used to build a new approach to solve the problem of classification of complex data sequences. The problem is thereby solved by a two-step process. First, feature construction is used to create and discover suitable features in a training phase. Then, the blueprints of the discovered features are used in a formula during the classification phase to perform the real time classification. The features are constructed by combining and aggregating the original data over the span of the sequence including the elapsed time by using a calculated time axis. Additionally, a combination of features and feature selection are used to simplify complex data types. This allows catching behavioural patterns that occur in the course of time. This new proposed approach combines techniques from several research fields. Part of the algorithm originates from the field of feature construction and is used to reveal behaviour over time and express this behaviour in the form of features. A combination of the features is used to highlight relations between them. The blueprints of these features can then be used to achieve classification in real time on an incoming data stream. An automated framework is presented that allows the features to adapt iteratively to a change in underlying patterns in the data stream. This core feature of the presented work is achieved by separating the feature application step from the computational costly feature construction step and by iteratively restarting the feature construction step on the new incoming data. The algorithm and the corresponding models are described in detail as well as applied to three case studies (customer churn prediction, bot detection in computer games, credit card fraud detection). The case studies show that the proposed algorithm is able to find distinctive information in data sequences and use it effectively for classification tasks. The promising results indicate that the suggested approach can be applied to a wide range of other application areas that incorporate data sequences.
The troubles began when Tom, the business analyst, asked the customer what he wants. The customer came up with good ideas for software features. Tom created a brilliant roadmap and defined the requirements for a new software product. Mary, the development team leader, was already eager to start developing and happy when she got the requirements. She and her team went ahead and created the software right away. Afterwards, Paul tested the software against the requirements. As soon as the software fulfilled the requirements, Linda, the product manager, deployed it to the customer. The customer did not like the software and ignored it. Ringo, the head of software development, was fired. How come? Nowadays, we have tremendous capabilities for creating nearly all kinds of software to fulfill the needs of customers. We can apply agile practices for reacting flexibly to changing requirements, we can use distributed development, open source, or other means for creating software at low cost, we can use cloud technologies for deploying software rapidly, and we can get enormous amounts of data showing us how customers actually use software products. However, the sad reality is that around 90% of products fail, and more than 60% of the features of a typical software product are rarely or never used. But there is a silver lining – an insight regarding successful features: Around 60% of the successes stem from a significant change of an initial idea. This gives us a hint on how to build the right software for users and customers.
This book presents emerging trends in the evolution of service-oriented and enterprise architectures. New architectures and methods of both business and IT are integrating services to support mobility systems, internet of things, ubiquitous computing, collaborative and adaptive business processes, big data, and cloud ecosystems. They inspire current and future digital strategies and create new opportunities for the digital transformation of next digital products and services. Services Oriented Architectures (SOA) and Enterprise Architectures (EA) have emerged as a useful framework for developing interoperable, large-scale systems, typically implementing various standards, like web services, REST, and microservices. Managing the adaptation and evolution of such systems presents a great challenge. Service-Oriented Architecture enables flexibility through loose coupling, both between the services themselves and between the IT organizations that manage them. Enterprises evolve continuously by transforming and extending their services, processes and information systems. Enterprise Architectures provide a holistic blueprint to help define the structure and operation of an organization with the goal of determining how an organization can most effectively achieve its objectives. The book proposes several approaches to address the challenges of the service-oriented evolution of digital enterprise and software architectures.
Information Systems in Distributed Environment (ISDE) is becoming a prominent standard in this globalization era due to advancement in information and communication technologies. The advent of the internet has supported Distributed Software Development (DSD) by introducing new concepts and opportunities, resulting in benefits such as scalability, flexibility, interdependence, reduced cost, resource pools, and usage tracking. The distributed development of information systems as well as their deployment and operation in distributed environments impose new challenges for software organizations and can lead to business advantages. In distributed environments, business units collaborate across time zones, organizational boundaries, work cultures and geographical distances, something that ultimately has led to an increasing diversification and growing complexity of cooperation among units. The real-world practice of developing, deployment and operation of information systems in globally distributed projects has been viewed from various perspectives, though technical and engineering in conjunction with managerial and organizational viewpoints have dominated the researcher’s attention so far. Successful participation in distributed environments, however, is ultimately a matter of the participants understanding and exploiting the particularities of their respective local contexts at specific points in time and exploring practical solutions through the local resources available.
This special issue of the Computer standards & interfaces journal therefore includes papers received from the public call for papers and extended and improved versions of those papers that were selected from the best of the International Workshop on Information Systems in Distributed Environment (ISDE 2014). It aims to serve as a forum to bring together academics, researchers, practitioners and students in the field of distributed information system, by presenting novel developments and lesson learned from real world cases, and to promote the exchange of ideas, discussion and advancement in these areas.
Managing software process evolution : traditional, agile and beyond - how to handle process change
(2016)
This book focuses on the design, development, management, governance and application of evolving software processes that are aligned with changing business objectives, such as expansion to new domains or shifting to global production. In the context of an evolving business world, it examines the complete software process lifecycle, from the initial definition of a product to its systematic improvement. In doing so, it addresses difficult problems, such as how to implement processes in highly regulated domains or where to find a suitable notation system for documenting processes, and provides essential insights and tips to help readers manage process evolutions. And last but not least, it provides a wealth of examples and cases on how to deal with software evolution in practice.
Reflecting these topics, the book is divided into three parts. Part 1 focuses on software business transformation and addresses the questions of which process(es) to use and adapt, and how to organize process improvement programs. Subsequently, Part 2 mainly addresses process modeling. Lastly, Part 3 collects concrete approaches, experiences, and recommendations that can help to improve software processes, with a particular focus on specific lifecycle phases.
This book is aimed at anyone interested in understanding and optimizing software development tasks at their organization. While the experiences and ideas presented will be useful for both those readers who are unfamiliar with software process improvement and want to get an overview of the different aspects of the topic, and for those who are experts with many years of experience, it particularly targets the needs of researchers and Ph.D. students in the area of software and systems engineering or information systems who study advanced topics concerning the organization and management of (software development) projects and process improvements projects.
Erfolg durch Kooperation
(2009)
Suppliers need to improve their relational capabilities if they are to enhance customer trust. Debate about such capabilities is dominated by an interpersonal approach. This paper provieds novel marketing options by expanding insights into alternative types of relational capabilities. Furthermore, the moderating role of customer preferences on the effectiveness of relational capabilities is evaluated.
This paper addresses the following four research questions: 1. How should customer service quality in social media channels be conceptualized on multiple levels? 2. Which aspects of customer service quality are important in enhancing customer satisfaction? 3. What outcomes are effected by customer service quality and customer satisfaction? 4. How effective are customer services delivered through social media channels (as compared to customer services delivered through other channels)?
Turning complainers into fans : towards a framework for customer services in social media channels
(2012)
In recent years, marketing scholars have invested heavily in exploring the role of social media in marketing theory and practice. One valuable strategy for using social media in marketing communication is to provide customer services in applications like Facebook or Twitter. This paper evaluates a) the concept of perceived service quality in different service channels and b) the impact customer service strategies have on customer loyalty, word of mouth communication, and cross-sell preferences. The framework presented here is tested cross-channel against data collected from the customer service department of a large telecommunication provider. The results elucidate the effectiveness of customer service strategies in different channels.
Relationship Marketing (RM) presumes trust as an important antecedent for the performance of interfirm relationships. Current research is dominated by an interpersonal perspective. In this research tack, trust chiefly emerges as a result of interpersonal relationships. But multiple risks arise if customer trust rests solely on elements inextricably linked to single representatives. Hence, this paper evaluates the impact of organizational capabilities and the moderating role of customer preferences on the trust creation process. The framework presented here is tested cross-industry on 220 customers for IT solutions. The results offer significant insight into the effectiveness of individual and organizational RM strategies.
Vertrauen ist eine wesentliche Ressource für die Zusammenarbeit zwischen Anbietern und Kunden. In der postmodernen Gesellschaft sind beide Seiten auf Kooperation angewiesen. Ohne Vertrauen führen gemeinsame Beziehungen jedoch selten zu den erwünschten Resultaten. Alexander Rossmann zeigt auf, wie sich das Vertrauen von Kunden stimulieren lässt und welche Verhaltensweisen zu vermeiden sind. Dabei werden personale und organisationale Vertrauensstrategien konzeptionell entwickelt und am Beispiel der IT-Branche empirisch untersucht. Eine Analyse der Auswirkungen von Vertrauen bietet differenzierte Einblicke in die Chancen und Risiken von Vertrauen aus Anbieter- und Kundenperspektive.
The second Digital Enterprise Computing Conference DEC 16 at the Herman Hollerith Center in Böblingen brings together students, researchers, and practitioners to discuss solutions, experiences, and future developments for the digital transformation. Digitization of business and IT defines the conference agenda: technology acceptance, digital transformation, digital business & administration, digital process challenges, analytics, and big data & data processing.
Wie sieht eine erfolgreiche Einführung von Industrie 4.0 aus? Dieses Buch stellt das Konzept, die Paradigmen und relevanten Technologien von Industrie 4.0 sowie deren Gesamtzusammenhänge systematisch vor. Entgegen der gängigen, rein technologischen und anwendungsbezogenen Betrachtungsweise, führt das Buch zusätzlich strategische, taktische und operative Betrachtungsebenen zu einem integrativen Strang zusammen. Zentrales Herzstück dabei ist ein Vorgehensmodell, das den Handlungsbedarf auf strategischer und operativer Ebene beschreibt. Ein Praxisfall, unterschiedliche Industrie 4.0-Use Cases und namhafte Experten aus Forschung und Praxis machen diese Lektüre interessant für Neueinsteiger, aber auch für Umsetzungsinteressierte des mittleren und oberen Managements, die eine neue Sichtweise auf die Komplexität des Themas gewinnen möchten. Das Glossar macht das Buch zum wertvollen Nachschlagewerk für das Thema Industrie 4.0.
In recent years, the rise of social media received significant importance in marketing research and practice. Consequently, interfaces to social media platforms have also been integrated into Business-to-Business (B2B) salesforce applications, although very little is as yet known about their usage and general impact on B2B sales performance. This paper evaluates 1) the conceptualization of social media usage in dyadic B2B relationships; 2) the effects of a more differentiated usage construct on customer satisfaction; 3) antecedents of social media usage on multiple levels; and 4) the effectiveness of social media usage for different types of cus-tomers. The framework presented here is tested cross-industry against data collected from dyadic buyer-seller relationships in the IT service industry. The results elucidate the precondi-tions and the impact of social media usage strategies in B2B sales relations.
Dieser Herausgeberband beleuchtet die Erfolgsfaktoren für die Implementierung und den Betrieb von ESN. Der erste Teil des Bandes umfasst akademische Beiträge zur aktuellen Forschung und beinhaltet fundierte wissenschaftliche Konzepte für den Einsatz von ESN. In den Beiträgen des zweiten Teils stehen Konzepte aus der Praxis im Fokus, bevor im dritten Teil Anwendererfahrungen in Form von Fallstudien betrachtet werden. In der digitalen Transformation setzen Unternehmen verstärkt Social Software ein, um positive Wirkungseffekte in den Bereichen Mitarbeiterzufriedenheit, Wissenstransfer, Innovationsdynamik, Produktivität oder Führungsakzeptanz zu erzielen. Diese Enterprise Social Networks (ESN) verändern die interne Kommunikation und erlauben einen ungebremsten Informationsfluss und überwinden organisationale Silos. Jedoch werden die in ESN gesetzten Erwartungen in der Praxis oft nicht erfüllt. Geringe Nutzungsgrade, mangelnde Einbindung in Geschäftsprozesse und unklare Wirkungszusammenhänge induzieren die Frage, ob sich eine Investition in ESN lohnt. Spitzenforschung, Thought Leader in der Unternehmenspraxis und führende Experten beschreiben wesentliche Strategien, Konzepte und Impulse für das Management der Enterprise Social Networks.
Social media usage in business-to-business sales : conceptualization, antecedents, and outcomes
(2015)
In recent years, the rise of social media received significant importance in marketing research. Social media applications now provide executives with a raft of new options. Consequently, interfaces to social media platforms have also been integrated into Business to-Business (B2B) salesforce applications, although very little is as yet known about their usage and general impact on B2B sales performance. This paper evaluates 1) the conceptualization of social media usage in a dyadic B2B relationship; 2) the effects of a more differentiated usage construct on customer satisfaction; 3) antecedents of social media usage on multiple levels; and 4) the effectiveness of social media usage for different types of customers. The framework presented here is tested cross-industry against data collected from dyadic buyer seller relationships in the IT service industry. The results elucidate the preconditions and the impact of social media usage strategies in B2B sales relations.
Der Beitrag stellt ein zentrales Denkraster für die Konzeption eines ganzheitlichen und langfristigen Performance-Management vor. Darin werden fünf gleichberechtigte Teildisziplinen erläutert, die, in ihrer Ausprägung und Kombination, die Themen- und Gestaltungskomplexität eines Leistungsmanagements aufzeigen. Ziel ist es, durch eine leicht verständliche Systematik das komplexe Thema Performance-Management und seine Zusammenhänge begreifbar und kommunizierbar zu machen, ohne dabei ein allgemeingültiges Rezept zu liefern.
Der Beitrag zeigt, welche grundlegenden Managementmethoden und -instrumente sich identifizieren lassen, um den Unterschied zwischen dauerhaft erfolgreichen und nicht erfolgreichen Unternehmen zu erklären. In diesem Konext wird ein Ansatz für einen Leistungsmanagement-Gesamtprozess entwickelt, in dem die zentralen Problemquellen bei der Einführung von Performance Management eingeordnet und erläutert werden.
Was machen dauerhaft erfolgreiche Unternehmen anders? Armin Roth identifiziert die Erfolgsfaktoren und entwickelt daraus das Konzept des ganzheitlichen Performance Managements: Es integriert die fünf Teildisziplinen Corporate Performance Management, Business Process Management, Projekt- und Mitarbeitermanagement sowie Management von Ganzheitlichkeit und Langfristigkeit in ein System. Unternehmen steigern dadurch ihre Leistungs- und Wettbewerbsfähigkeit nachhaltig. Management Cockpits sorgen dabei für eine zielorientierte Steuerung auf strategischer und operativer Ebene.
Erstmalig wird dieser integrative Ansatz in diesem Buch vorgestellt.
Unternehmen benötigen heutzutage im globalen Wettbewerb ein effektives und effizientes Leistungsmanagement, um ihren Erfolg langfristig absichern zu können. Ein solches ganzheitliches und langfristiges Performance Managment kann nur dann die Erwartungen erfüllen, wenn alle erfolgskritischen Management-Disziplinen im Rahmen eines integrativen Managementsystems optimal aufeinander abgestimmt sind.
Der Beitrag zeigt, welche grundlegenden Managementmethoden und -instrumente sich identifizieren lassen, um den Unterschied zwischen dauerhaft erfolgreichen und nicht erfolgreichen Unternehmen zu erklären. In diesem Kontext wird ein Ansatz für einen Leistungsmanagement-Gesamtprozess entwickelt, in dem die zentralen Problemquellen bei der Einführung von Performance Management eingeordnet und erläutert werden.
A behavior marker for measuring non-technical skills of software professionals : an empirical study
(2015)
Managers recognize that software development teams need to be developed. Although technical skills are necessary, non-technical (NT) skills are equally, if not more, necessary for project success. Currently, there are no proven tools to measure the NT skills of software developers or software development teams. Behavioral markers (observable behaviors that have positive or negative impacts on individual or team performance) are successfully used by airline and medical industries to measure NT skill performance. This research developed and validated a behavior marker tool rated video clips of software development teams. The initial results show that the behavior marker tool can be reliably used with minimal training.
Im Fokus der Arbeit steht die Unterstützung der Stentgraftauswahl bei endovaskulärer Versorgung eines infrarenalen Aortenaneurysmas. Im Rahmen der Arbeit wurde eine Methode zur Auswertung von Ergebnissen einer Finite Elemente-Analyse zum Stentgraftverhalten konzipiert, implementiert und im Rahmen einer deutschlandweiten Benutzerstudie mit 16 Chirurgen diskutiert. Die entwickelte Mensch-Maschine-Schnittstelle ermöglicht dem Gefäßmediziner eine interaktive Analyse berechneter Fixierungskräfte und Kontaktzustände mehrerer Stentgrafts im Kontext mit dem zu behandelnden Aortenabschnitt. Die entwickelte Methode ermöglicht eine tiefergehende Auseinandersetzung der Mediziner mit numerischen Simulationen und Stentgraftbewertungsgrößen. Hierdurch konnte im Rahmen der Benutzerstudie das Einsatzpotenzial numerischer Simulationen zur Unterstützung der Stentgraftauswahl ermittelt und eine Anforderungsspezifikation an ein System zur simulationsbasierten Stentgraftplanung definiert werden. Im Ergebnis wurde als wesentliches Einsatzpotenzial die Festlegung eines Mindestmaßes an Überdimensionierung, die Optimierung der Schenkellänge von bifurkativen Stentgrafts sowie der Vergleich unterschiedlicher Stentgraftdesigns ermittelt. Zu den wesentlichen Funktionen eines Systems zur simulationsbasierten Stentgraftauswahl gehören eine Übersichtskarte zu farbkodiertem Migrationsrisiko pro Stentgraft und Landungszone, die Visualisierung des Abdichtungszustandes der Stentkomponenten sowie die Darstellung von Stentgraft- und Gefäßdeformationen im 3D-Modell.
This thesis studies concurrency control and composition of transactions in computing environments with long living transactions where local data autonomy of transactions is indispensable. This kind of computing architecture is referred to as a Disconnected System where reads are segregated -disconnected- from writes enabling local data autonomy. Disconnecting reads from writes is inspired by Bertrand Meyer's "Command Query Separation" pattern. This thesis provides a simple yet precise definition for a Disconnected System with a focus on transaction management. Concerning concurrency control, transaction management frameworks implement a'one concurrency control mechanism fits all needs strategy'. This strategy, however, does not consider specific characteristics of data access. The thesis shows the limitations of this strategy if transaction load increases, transactions are long lived, local data autonomy is required, and serializability is aimed at isolation level. For example, in optimistic mechanisms the number of aborts suddenly increases if load increases. In pessimistic mechanisms locking causes long blocking times and is prone to deadlocks. These findings are not new and a common solution used by database vendors is to reduce the isolation. This thesis proposes the usage of a novel approach. It suggests choosing the concurrency control mechanism according to the semantics of data access of a certain data item. As a result a transaction may execute under several concurrency control mechanisms. The idea is to introduce lanes similar to a motorway where each lane is dedicated to a certain class of vehicle with the same characteristics. Whereas disconnecting reads and writes sets the traffic's direction, the semantics of data access defines the lanes. This thesis introduces four concurrency control classes capturing the semantics of data access and each of them has an associated tailored concurrency control mechanism. Class O (the optimistic class) implements a first-committer-wins strategy, class R (the reconciliation class) implements a first-n-committers-win strategy, class P (the pessimistic class) implements a first-reader-wins strategy, and class E (the escrow class) implements a first-n-readers-win strategy. In contrast to solutions that adapt the concurrency control mechanism during runtime, the idea is to classify data during the design phase of the application and adapt the classification only in certain cases at runtime. The result of the thesis is a transaction management framework called O|R|P|E. A performance study based on the TPC-C benchmark shows that O|R|P|E has a better performance and a considerably higher commit rate than other solutions. Moreover, the thesis shows that in O|R|P|E aborts are due to application specific limitations, i.e., constraint violations and not due to serialization conflicts. This is a result of considering the semantics.
Workshop Java EE 7 : ein praktischer Einstieg in die Java Enterprise Edition mit dem Web Profile
(2015)
Dieses Arbeitsbuch bietet Ihnen eine praktische Einführung in die Entwicklung von Business- Anwendungen mit Java EE 7. Schrittweise erstellen Sie eine einfach nachvollziehbare Beispielanwendung auf Grundlage des Web Profile. Dabei lernen Sie alle wichtigen Technologien und Konzepte von Java EE 7 kennen, u.a.: Grafische Oberflächen mit JavaServer Faces und HTML5; Business-Logik mit CDI und EJB; Persistenz mit JPA; Kommunikation mit REST, SOAP und WebSockets; Erweiterte Konzepte wie Resource Library Contracts, Interceptors, Transaktionen, Timer und Security. Über Java EE 7 hinaus wird auch auf weitere praxisrelevante Themen wie Build Management und Testing eingegangen. Das Deployment wird auf den Applikationsservern WildFly 8 und Glassfish 4 sowie über das Cloud-Angebot OpenShift durchgeführt. Am Ende einer jeden Entwicklungsphase finden Sie Übungen und Fragen zur Lernkontrolle.Nach der erfolgreichen Lektüre sind Sie in der Lage, Java-EE-7-Anwendungen selbständig aufzusetzen, zu entwickeln und auf einem Anwendungsserver zu verteilen. Kenntnisse in der Entwicklung mit Java werden vorausgesetzt. Grundlagen von HTML und der Architektur von Webanwendungen sind hilfreich. In der 2. Auflage wird nun auch die Internationalisierung sowie die Erstellung funktionaler Tests mit Graphene behandelt.
Das digitale Unternehmen erfordert neue Konzepte des Digital Enterprise Computing. Dieses umfasst eine interdisziplinäre Verbindung von Vorgehensweisen aus der Informatik, der Ökonomie und weiteren relevanten Wissenschaftsdisziplinen. Neue Architekturen mit integrierten Mobility-Systemen, kollaborativen Geschäftsprozessen, Big Data und Cloud-Ökosystemen beflügeln aktuelle und künftige Geschäftsstrategien und machen die digitale Transformation zu neuen Geschäftsfeldern erst möglich. Dafür ist eine enge Kooperation verschiedener Partner aus Wissenschaft, Wirtschaft und Gesellschaft notwendig. Die Jahreskonferenz Digital Enterprise Computing positioniert die Gesellschaft für Informatik als wissenschaftlichen Mitveranstalter und vertieft Erfahrungen aus dem Arbeitskreis Enterprise Architecture Management der Fachgruppe Architekturen im Fachbereich Softwaretechnik der Gesellschaft für Informatik.
The impact of stress of every human being has become a serious problem. Reported impact on persons are a higher rate or health disorders like heart problems, obesity, asthma, diabetes, depressions and many others. An individual in a stressful situation has to deal with altered cognition as well as an affected decision making skill and problem solving. This could lead to a higher risk for accidents in dynamic environments such as automotive. Different papers faced the estimation as well as prediction of drivers’ stress level during driving. Another important question is not only the stress level of the driver himself, but also the influence on and of a group of other drivers in the near area. This paper proposes a system, which determines a group of drivers in a near area as clusters and it derives or computes the individual stress level. This information will be analyzed to generate a stress map, which represents a graphical view about road section with a higher stress influence. Aggregated data can be used to generate navigation routes with a lower stress influence as well as recommend driving behavior to decrease stress influenced driving as well as improve road safety.
In this work, a web-based software architecture and framework for management and diagnosis of large amounts of medical data in an ophthalmologic reading center is proposed. Data management for multi-center studies requires merging of standing data and repeatedly gathered clinical evidence such as vital signs and raw data. If ophthalmologic questions are involved the data acquisition is often provided by non-medical staff at the point of care or a study center, whereas the medical finding is mostly provided by an ophthalmologist in a specialized reading center. The study data such as participants, cohorts and measured values are administrated at a single data center for the entire study. Since a specialized reading center maintains several studies, the medical staff must learn the different data administration for the different data center. With respect to the increasing number and sizes of clinical studies, two aspects must be considered. At first, an efficient software framework is required to support the data management, processing and diagnosis by medical experts at the reading center. In the second place, this software needs a standardized user-interface that has not to be trained/taylore /adapted for each new study. Furthermore different aspects of quality and security controls have to be included. Therefore, the objective of this work is to establish a multi purpose ophthalmologic reading center, which can be connected to different data centers via configurable data interfaces in order to treat various topics simultaneously.