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Über dieses Buch

This book constitutes the proceedings of the 4th EuroSymposium on Systems Analysis and Design, SIGSAND/PLAIS 2011, held in Gdańsk, Poland, in September 2011.

The objective of this symposium is to promote and develop high-quality research on all issues related to systems analysis and design (SAND). It provides a forum for SAND researchers and practitioners in Europe and beyond to interact, collaborate, and develop their field.

The 9 papers were carefully reviewed and selected from 20 submissions. An additional revision took place after the conference to incorporate discussion results from the presentation. The contributions are organized into topical sections on business process modeling, integrated systems development, and software development.



Business Processes Modeling


Reengineering University: Modeling Business Processes to Achieve Strategic Goals

Recognizing the challenges that a contemporary university faces, an inter-faculty group of researchers performed the analysis of organizational and management approach in one of Russia’s universities and modeled existing business processes. The university is a multi-campus organization and to manage it efficiently it is necessary to make transition from the traditional management model to a more flexible - network structure. This paper focuses on development of the Goal Tree and designing of AS-IS model. The researchers applied IBM Business Modeler [1] which allows to execute modeling and simulation of business processes. The practical value of the proposed approach is that it enables the university management to improve performance and effectiveness.
Aleksey Shutov

SysML Requirement Diagrams: Banking Transactional Platform Case Study

The aim of this paper is an investigation into the practicality of SysML Requirement Diagrams in requirement identification and specification for an Internet banking transactional platform. The research attempts to discover if SysML Requirement Diagrams can be applied not only for defining requirements in engineering domains, but also for conducting business cases. The paper is structured as follows: after the Introduction, the prerequisites of requirement specification in SysML are clarified in Section 2. Section 3 exemplifies the containment relationships in a banking transactional platform case study. A Requirement Diagram of a Money Transfer Service in both graphical and tabular form is developed and explained in Section 4, followed by Conclusions. The study has generated demand for more in-depth analysis of business requirements specification using other functionally related SysML/UML diagrams.
Stanislaw Wrycza, Bartosz Marcinkowski

Integrated Systems Development


Customer Knowledge Management Models: Assessment and Proposal

In the current economy, customer knowledge is a key asset and a sustainable source of competitive advantage, which exerts an impact on the implementation of most processes in any organization. Efficient utilization of customer knowledge determines the development of a company. The main purpose of this paper is to present a review and assessment of presented in literature customer knowledge management models and to purpose an integrated management model for customer knowledge. This model should help in understanding how to manage customer knowledge in order to improve customer value.
Dorota Buchnowska

ERP in the Cloud – Benefits and Challenges

Cloud computing (CC) is one of the most important revolutionary changes in Information and Communication Technology (ICT). Its roots can be traced to technology and business trends. Nowadays organizations have three ERP system deployment scenarios: on-premise, hosting and on-demand (EaaS). The aim of the paper is to analyse the benefits and the challenges of Cloud ERP in the SaaS model. Firstly, SaaS as a business model of cloud computing is described. The issues concerning traditional and Cloud ERP are also discussed.
Anna Lenart

Building Project Teams in Enterprise System Adoption: The Need for the Incorporation of the Project Type

This study’s goal is to investigate and better understand project teams’ building in enterprise system (ES) adoption. The analysis builds on two-phased research conducted among two groups of ES adopters. The investigated issues, revealed during the first, exploratory phase of the research, include the steering committee composition, the project team composition, and the involvement of the system provider’s representatives. Next, their influence on ES adoption success is investigated during the second phase. In doing so, the analysis examines the impact of the project type defined by four criteria: adoption scope, inter-organizational focus, company size, and project duration time. Recommendations regarding project team building and future research conclude the paper.
Piotr Soja

Model of Information Systems’ Selection for the Company Management

The article describes the features of an enterprise’s business process management, modern techniques, their advantages and ways of realization. The analysis of the possible implementation problems of the techniques is shown and ways of overcoming. There were also identified some key factors for choosing a project for business process management. Here is also shown the diagram of business processes optimization based on evaluating the performance of Information System. The progress of the research process in the form of a questionnaire survey of companies’ experts is also described, giving the developed form of the questionnaire and respondents’ answers. The paper also describes the use of multiple regression models to research data.
Iryna Zolotaryova, Anna Khodyrevska

Software Development


A Method to Discover Trend Reversal Patterns Using Behavioral Data

Cognitive biases often influence decision processes related to investment on stock markets. Mainly, this concerns complex problems with perception and understanding of surrounding financial and economic reality. This research was aimed at detecting cognitive biases in the data-driven manner. A few basic cognitive biases were examined: the Gambler’s Fallacy, and the Hot Hand and Cold Hand effects. Detecting and modeling sequences leading to particular cognitive bias can significantly improve the trader’s strategy.
This paper presents a concept of a platform which can detect specific user behaviors. These are derived from the observation of technical analysis indicators, as well as the trader’s own built-in indicators. Along with the standard functionalities of a stock market simulator, a few methods of data mining were applied: inductive decision trees, sequential association rules, clustering and visual exploration.
Jerzy Korczak, Aleksander Fafuła

Toward a Theory of Debiasing Software Development

Despite increasingly sophisticated programming languages, software developer training, testing tools, integrated development environments and project management techniques, software project failure, abandonment and overrun rates remain high. One way to address this is to focus on common systematic errors made by software project participants. In many cases, such errors are manifestations of cognitive biases. Consequently this paper proposes a theory of the role of cognitive biases in software development project success. The proposed theory posits that such errors are mutual properties of people and tasks; they may therefore be avoided by modifying the person-task system using specific sociotechnical interventions. The theory is illustrated using the case of planning poker, a task estimation technique designed to overcome anchoring bias.
Paul Ralph

OBCAS - An Ontology-Based Cluster Analysis System

The main objective of the paper is to present the OBCAS - an ontology-based cluster analysis system that was implemented in Java. The system takes as an input the data described by an ontology, allows the user to choose individuals, and produces the similarity matrix. The core component of this system is a module that counts three kinds of similarity measures: taxonomy, relationship and attribute. The current outcome of the system is an aggregate similarity matrix that can be further processed by any statistical package.
Janusz Tuchowski, Katarzyna Wójcik, Paweł Lula, Grażyna Paliwoda-Pękosz


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