2013 |
Krawatzeck, Robert; Hofmann, Marcus; Jacobi, Frieder; Dinter, Barbara Constructing Software-Intensive Methods: A Design Science Research Process with Early Feedback Cycles (Konferenzbeitrag) Proceedings of the 8th International Conference on Design Science Research in Information Systems and Technology (DESRIST'2013), S. in print, Springer LNCS, Helsinki, Finland, 2013. (Abstract | BibTeX | Schlagwörter: design science, early feedback, generate-test cycle, method engineering, research process, software prototype) @inproceedings{RK2013,
title = {Constructing Software-Intensive Methods: A Design Science Research Process with Early Feedback Cycles},
author = {Robert Krawatzeck and Marcus Hofmann and Frieder Jacobi and Barbara Dinter},
year = {2013},
date = {2013-06-11},
booktitle = {Proceedings of the 8th International Conference on Design Science Research in Information Systems and Technology (DESRIST'2013)},
pages = {in print},
publisher = {Springer LNCS},
address = {Helsinki, Finland},
abstract = {Methods are a common artifact within design science research (DSR). In the context of a research project we faced the challenge to develop a method and a software artifact in parallel. However, existing work in DSR and method engineering does not explicitly address the simultaneous development of two interdependent artifacts. Therefore, we developed a DSR process that allows the construction of so-called software-intensive methods. It considers the interdependencies of both artifacts and optimizes common DSR processes by including early feedback cycles for intermediate results - allowing the identification of initial design weaknesses like missing or dispensable design elements, inappropriate element design and usability flaws. The process has been applied and its feasibility has been demonstrated in the research project.},
keywords = {design science, early feedback, generate-test cycle, method engineering, research process, software prototype}
}
Methods are a common artifact within design science research (DSR). In the context of a research project we faced the challenge to develop a method and a software artifact in parallel. However, existing work in DSR and method engineering does not explicitly address the simultaneous development of two interdependent artifacts. Therefore, we developed a DSR process that allows the construction of so-called software-intensive methods. It considers the interdependencies of both artifacts and optimizes common DSR processes by including early feedback cycles for intermediate results - allowing the identification of initial design weaknesses like missing or dispensable design elements, inappropriate element design and usability flaws. The process has been applied and its feasibility has been demonstrated in the research project. |
2012 |
Krawatzeck, Robert; Jacobi, Frieder; Hofmann, Marcus CAWE DW Documenter: A Model-driven Tool for Customizable ETL Documentation Generation (Konferenzbeitrag) Castano, Silvana; Vassiliadis, Panos; Lakshmanan, Laks; Lee, Mong Li (Hrsg.): Proceedings of the 31st International Conference on Conceptual Modeling (ER'2012), S. 400-403, Springer LNCS, Florence, Italy, 2012, ISBN: 978-3-642-33999-8-1. (Abstract | Links | BibTeX | Schlagwörter: ADM, Computer-Aided Warehouse Engineering, ETL processes, MDA, reverse engineering, software prototype, user-specific documentation) @inproceedings{RK2012,
title = {CAWE DW Documenter: A Model-driven Tool for Customizable ETL Documentation Generation},
author = {Robert Krawatzeck and Frieder Jacobi and Marcus Hofmann},
editor = {Silvana Castano and Panos Vassiliadis and Laks V. Lakshmanan and Mong Li Lee},
url = {http://www.springerlink.com/content/x248j64t568761ju/},
isbn = {978-3-642-33999-8-1},
year = {2012},
date = {2012-10-15},
booktitle = {Proceedings of the 31st International Conference on Conceptual Modeling (ER'2012)},
pages = {400-403},
publisher = {Springer LNCS},
address = {Florence, Italy},
abstract = {Within business intelligence systems (BI systems), ETL (extract, transform and load) processes move numerous data from heterogeneous sources to a data warehouse and become more complex with growing enterprise size. To keep costs and expenditure of time for maintenance and evolution of those systems slight, ETL processes should be documented. A well-documented system also leads to higher transparency regarding the origin and processing of data, which increases the system’s acceptance by business users. However, the preparation of high quality software documentation is sophisticated and there-fore it usually only takes place in the design or development phase of BI systems. To ensure that the documentation is always updated, automated generation is advantageous. The paper at hand presents the research prototype CAWE DW Documenter for automated configurable ETL documentation generation},
keywords = {ADM, Computer-Aided Warehouse Engineering, ETL processes, MDA, reverse engineering, software prototype, user-specific documentation}
}
Within business intelligence systems (BI systems), ETL (extract, transform and load) processes move numerous data from heterogeneous sources to a data warehouse and become more complex with growing enterprise size. To keep costs and expenditure of time for maintenance and evolution of those systems slight, ETL processes should be documented. A well-documented system also leads to higher transparency regarding the origin and processing of data, which increases the system’s acceptance by business users. However, the preparation of high quality software documentation is sophisticated and there-fore it usually only takes place in the design or development phase of BI systems. To ensure that the documentation is always updated, automated generation is advantageous. The paper at hand presents the research prototype CAWE DW Documenter for automated configurable ETL documentation generation |
Jacobi, Frieder; Krawatzeck, Robert; Hofmann, Marcus Meeting the Need for ETL Documentation: A Model-driven Framework for Customizable Documentation Generation (Konferenzbeitrag) Proceedings of the 18th Americas Conference on Information Systems (AMCIS'12), S. Paper 23, Seattle, Washington, USA, 2012. (Abstract | Links | BibTeX | Schlagwörter: automatically generated documentation, Business Intelligence, Computer-Aided Warehouse Engineering, data warehouse system, documentation framework, ETL documentation, Knowledge Management, Model-Driven Architecture, user-specific documentation) @inproceedings{FJ12,
title = {Meeting the Need for ETL Documentation: A Model-driven Framework for Customizable Documentation Generation},
author = {Frieder Jacobi and Robert Krawatzeck and Marcus Hofmann},
url = {http://aisel.aisnet.org/amcis2012/proceedings/EndUserIS/23},
year = {2012},
date = {2012-08-09},
booktitle = {Proceedings of the 18th Americas Conference on Information Systems (AMCIS'12)},
pages = {Paper 23},
address = {Seattle, Washington, USA},
abstract = {Within Business Intelligence systems (BI systems), ETL (extract, transform and load) processes move numerous data from heterogeneous sources to a data warehouse and become more complex with growing enterprise size. To keep costs and expenditure of time for maintenance and evolution of those systems slight, ETL processes should be documented. A well-documented system also leads to higher transparency regarding the origin and processing of data, which increases the system’s acceptance by business users. However, the preparation of high-quality software documentation is sophisticated and therefore it usually only takes place in the design or development phase of BI systems. To ensure that the documentation is always updated, an automatic generation is advantageous. The paper at hand presents a conceptual framework for automated configurable ETL documentation generation. The presented framework creates benefits for BI systems developers as well as business users.},
keywords = {automatically generated documentation, Business Intelligence, Computer-Aided Warehouse Engineering, data warehouse system, documentation framework, ETL documentation, Knowledge Management, Model-Driven Architecture, user-specific documentation}
}
Within Business Intelligence systems (BI systems), ETL (extract, transform and load) processes move numerous data from heterogeneous sources to a data warehouse and become more complex with growing enterprise size. To keep costs and expenditure of time for maintenance and evolution of those systems slight, ETL processes should be documented. A well-documented system also leads to higher transparency regarding the origin and processing of data, which increases the system’s acceptance by business users. However, the preparation of high-quality software documentation is sophisticated and therefore it usually only takes place in the design or development phase of BI systems. To ensure that the documentation is always updated, an automatic generation is advantageous. The paper at hand presents a conceptual framework for automated configurable ETL documentation generation. The presented framework creates benefits for BI systems developers as well as business users. |
Hofmann, Marcus; Müller, André; Jacobi, Frieder; Krawatzeck, Robert Umfrage 2011: „Dokumentation von Business-Intelligence-Systemen“ - Ergebnisse und Auswertung (Konferenzbeitrag) Mattfeld, Dirk Christian; Robra-Bissantz, Susanne (Hrsg.): Tagungsband der Multikonferenz Wirtschaftsinformatik 2012 (MKWI'12), S. 1091-1104, GITO Verlag, Berlin, Deutschland, 2012, ISBN: 978-3-942183-63-5. (Abstract | Links | BibTeX | Schlagwörter: Business Intelligence, Computer-Aided Warehouse Engineering, Dokumentation, Umfrage) @inproceedings{Hof12,
title = {Umfrage 2011: „Dokumentation von Business-Intelligence-Systemen“ - Ergebnisse und Auswertung},
author = {Marcus Hofmann and André Müller and Frieder Jacobi and Robert Krawatzeck},
editor = {Dirk Christian Mattfeld and Susanne Robra-Bissantz},
url = {http://mkwi2012.de/downloads/MKWI2012_Tagungsband.pdf},
isbn = {978-3-942183-63-5},
year = {2012},
date = {2012-02-29},
booktitle = {Tagungsband der Multikonferenz Wirtschaftsinformatik 2012 (MKWI'12)},
pages = {1091-1104},
publisher = {GITO Verlag},
address = {Berlin, Deutschland},
abstract = {Die Nachwuchsforschergruppe Computer-Aided Warehouse Engineering (CAWE) arbeitet seit August 2010 an einem vollständig modellgetriebenen Vorgehen zur Unterstützung des Lebens-zyklus von Business-Intelligence-Systemen (BI-Systemen). Eine wichtige Funktionalität des in Bearbeitung befindlichen Prototyps besteht in der automatischen Erzeugung von BI-System-dokumentation (Re-Dokumentation). Um das aktuelle Dokumentationsgeschehen sowie die Dokumentationsbedarfe für BI-Systeme in der Praxis zu erfassen, wurde in 2011 im Rahmen des Projektes eine Umfrage zu diesem Thema bei Praxisvertretern durchgeführt. Der vorliegende Beitrag thematisiert die relevanten Forschungsaspekte, beschreibt das methodische Vorgehen zur Durchführung der Umfrage, stellt ausgewählte Ergebnisse vor und wertet diese aus.},
keywords = {Business Intelligence, Computer-Aided Warehouse Engineering, Dokumentation, Umfrage}
}
Die Nachwuchsforschergruppe Computer-Aided Warehouse Engineering (CAWE) arbeitet seit August 2010 an einem vollständig modellgetriebenen Vorgehen zur Unterstützung des Lebens-zyklus von Business-Intelligence-Systemen (BI-Systemen). Eine wichtige Funktionalität des in Bearbeitung befindlichen Prototyps besteht in der automatischen Erzeugung von BI-System-dokumentation (Re-Dokumentation). Um das aktuelle Dokumentationsgeschehen sowie die Dokumentationsbedarfe für BI-Systeme in der Praxis zu erfassen, wurde in 2011 im Rahmen des Projektes eine Umfrage zu diesem Thema bei Praxisvertretern durchgeführt. Der vorliegende Beitrag thematisiert die relevanten Forschungsaspekte, beschreibt das methodische Vorgehen zur Durchführung der Umfrage, stellt ausgewählte Ergebnisse vor und wertet diese aus. |
2011 |
Jacobi, Frieder; Krawatzeck, Robert; Hofmann, Marcus; Müller, André Storage Frameworks for Large Models within Model-Driven Data Warehouse Metadata Management Systems: Criteria and Evaluation (Konferenzbeitrag) Callaos, Nagib; Savoie, Michael; Siddique, Mohammad; Zinn, Dale (Hrsg.): Proceedings of the International Conference on Information and Communication Technologies and Applications (ICTA2011), and the International Conference on Design and Modeling in Science, Education, an, S. 131-136, International Institute of Informatics and Systemics Orlando, Florida, USA, 2011, ISBN: 978-1-936338-45-0. (Abstract | Links | BibTeX | Schlagwörter: Computer-Aided Warehouse Engineering, Data Warehouse Engineering, Ecore, Large Models, Metadata Management System, Model Repository, Model-Driven Architecture) @inproceedings{FJ11,
title = {Storage Frameworks for Large Models within Model-Driven Data Warehouse Metadata Management Systems: Criteria and Evaluation},
author = {Frieder Jacobi and Robert Krawatzeck and Marcus Hofmann and André Müller },
editor = {Nagib Callaos and Michael Savoie and Mohammad Siddique and C. Dale Zinn},
url = {http://icta2011.wordpress.com/2012/08/09/storage-frameworks-for-large-models-within-model-driven-data-warehouse-metadata-management-systems-criteria-and-evaluation/},
isbn = {978-1-936338-45-0},
year = {2011},
date = {2011-11-29},
booktitle = {Proceedings of the International Conference on Information and Communication Technologies and Applications (ICTA2011), and the International Conference on Design and Modeling in Science, Education, an},
pages = {131-136},
address = {Orlando, Florida, USA},
organization = {International Institute of Informatics and Systemics},
abstract = {Many metadata arise during the process of data warehouse engineering (DWE). In order to achieve a maintainable data warehouse (DW), this metadata should be organized in a metadata management system (MDMS). Modern software development technology suggests a model driven approach. Following this approach, the emerging metadata are stored in form of models and metamodels. The DW domain usually comprises large models with strong dependencies between each other. This characteristic has to be considered when building performant MDMSs. This paper defines a set of criteria, which storage frameworks for large models within model-driven MDMSs should meet to ensure a performant and secure business intelligence (BI) system. Furthermore, it presents an evaluation, on the basis of the defined criteria set, of latest storage frameworks based on EMF/Ecore technology.},
keywords = {Computer-Aided Warehouse Engineering, Data Warehouse Engineering, Ecore, Large Models, Metadata Management System, Model Repository, Model-Driven Architecture}
}
Many metadata arise during the process of data warehouse engineering (DWE). In order to achieve a maintainable data warehouse (DW), this metadata should be organized in a metadata management system (MDMS). Modern software development technology suggests a model driven approach. Following this approach, the emerging metadata are stored in form of models and metamodels. The DW domain usually comprises large models with strong dependencies between each other. This characteristic has to be considered when building performant MDMSs. This paper defines a set of criteria, which storage frameworks for large models within model-driven MDMSs should meet to ensure a performant and secure business intelligence (BI) system. Furthermore, it presents an evaluation, on the basis of the defined criteria set, of latest storage frameworks based on EMF/Ecore technology. |
Krawatzeck, Robert; Jacobi, Frieder; Müller, André; Hofmann, Marcus Konzeption eines Frameworks zur automatisierten Erstellung nutzerspezifischer IT-Systemdokumentationen (Konferenzbeitrag) Baars, Henning (Hrsg.): Workshop Business Intelligence 2011 (WSBI'11) der GI-Fachgruppe Business Intelligence, Business Intelligence - Impulse für die Forschung oder Impulse durch die Forschung, S. 15-26, CEUR Workshop Proceedings, Stuttgart, Deutschland, 2011, ISSN: 1613-0073. (Abstract | Links | BibTeX | Schlagwörter: ADM, Business Intelligence, Computer-Aided Warehouse Engineering, Dokumentation, MDD) @inproceedings{RK11,
title = {Konzeption eines Frameworks zur automatisierten Erstellung nutzerspezifischer IT-Systemdokumentationen},
author = {Robert Krawatzeck and Frieder Jacobi and André Müller and Marcus Hofmann},
editor = {Henning Baars},
url = {http://ceur-ws.org/Vol-831/},
issn = {1613-0073},
year = {2011},
date = {2011-10-14},
booktitle = {Workshop Business Intelligence 2011 (WSBI'11) der GI-Fachgruppe Business Intelligence, Business Intelligence - Impulse für die Forschung oder Impulse durch die Forschung},
pages = {15-26},
publisher = {CEUR Workshop Proceedings},
address = {Stuttgart, Deutschland},
abstract = {Die Komplexität von BI-Systemen als heterogene IT-Systeme steigt in Folge einer immer dynamischeren Unternehmensumwelt zunehmend. Softwaredokumentationen helfen, trotz steigender Systemkomplexität einen detaillierten Überblick über die Arbeitsweise von BI-Systemen zu erhalten. Der Erstellungsprozess von qualitativ hochwertigen Dokumentationen ist jedoch aufwändig und wird – unter Vernachlässigung nachträglicher Änderungen und Anpassungen – meist nur in der Planungs- oder Entwicklungsphase von BI-Systemen vorgenommen. Dieser Beitrag beschreibt den Entwurf eines Frameworks, welches durch die Anwendung des Ansatzes der modellgetriebenen Softwareentwicklung eine vollständig automatisierte Erstellung von nutzerspezifischen Softwaredokumentationen erlaubt, von denen sowohl BI-Systementwickler als auch Fachanwender profitieren.},
keywords = {ADM, Business Intelligence, Computer-Aided Warehouse Engineering, Dokumentation, MDD}
}
Die Komplexität von BI-Systemen als heterogene IT-Systeme steigt in Folge einer immer dynamischeren Unternehmensumwelt zunehmend. Softwaredokumentationen helfen, trotz steigender Systemkomplexität einen detaillierten Überblick über die Arbeitsweise von BI-Systemen zu erhalten. Der Erstellungsprozess von qualitativ hochwertigen Dokumentationen ist jedoch aufwändig und wird – unter Vernachlässigung nachträglicher Änderungen und Anpassungen – meist nur in der Planungs- oder Entwicklungsphase von BI-Systemen vorgenommen. Dieser Beitrag beschreibt den Entwurf eines Frameworks, welches durch die Anwendung des Ansatzes der modellgetriebenen Softwareentwicklung eine vollständig automatisierte Erstellung von nutzerspezifischen Softwaredokumentationen erlaubt, von denen sowohl BI-Systementwickler als auch Fachanwender profitieren. |
Gluchowski, Peter; Hofmann, Marcus; Jacobi, Frieder; Krawatzeck, Robert; Müller, André Business-Intelligence-Umfrage 2011: Softwaregestütztes Lebenszyklusmanagement und aktuelles Dokumentationsgeschehen für Business-Intelligence-Systeme (Dokumentation) Technische Universität Chemnitz Chemnitz, Deutschland, 2011, ISBN: 978-3-941003-45-3. (Abstract | Links | BibTeX | Schlagwörter: Business Intelligence, Computer-Aided Warehouse Engineering, Dokumentation, Softwaregestütztes Lebenszyklusmanagement, Umfrage) @manual{PG11,
title = {Business-Intelligence-Umfrage 2011: Softwaregestütztes Lebenszyklusmanagement und aktuelles Dokumentationsgeschehen für Business-Intelligence-Systeme},
author = {Peter Gluchowski and Marcus Hofmann and Frieder Jacobi and Robert Krawatzeck and André Müller},
url = {http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-75452},
isbn = {978-3-941003-45-3},
year = {2011},
date = {2011-09-21},
pages = {1-31},
address = {Chemnitz, Deutschland},
organization = {Technische Universität Chemnitz},
abstract = {Am Lehrstuhl Wirtschaftsinformatik II der TU Chemnitz arbeitet die Nachwuchsforschergruppe Computer-Aided Warehouse Engineering (CAWE), die seit August 2010 besteht, an einem vollständig modellgetriebenen Vorgehen zur Unterstützung des Lebenszyklus von Business-Intelligence-Systemen (BI-Systemen). Neben der Durchführung von Grundlagenforschung hat die Nachwuchsforschergruppe die Erstellung eines Software-Prototyps zum Ziel. Eine wichtige Funktionalität ist die automatische Erzeugung von Systemdokumentationen für verschiedene BI-Systeme mit dem Schwerpunkt auf den Architekturkomponenten. Im Rahmen des Forschungsprojektes führte die CAWE Nachwuchsforschergruppe unter der Leitung von Prof. Dr. Peter Gluchowski in 2011 eine bundesweite Umfrage bei mittelständischen bis großen Unternehmen zu folgendem Thema durch: „Softwaregestütztes Lebenszyklusmanagement und aktuelles Dokumentationsgeschehen für Business Intelligence-Systeme“.},
keywords = {Business Intelligence, Computer-Aided Warehouse Engineering, Dokumentation, Softwaregestütztes Lebenszyklusmanagement, Umfrage}
}
Am Lehrstuhl Wirtschaftsinformatik II der TU Chemnitz arbeitet die Nachwuchsforschergruppe Computer-Aided Warehouse Engineering (CAWE), die seit August 2010 besteht, an einem vollständig modellgetriebenen Vorgehen zur Unterstützung des Lebenszyklus von Business-Intelligence-Systemen (BI-Systemen). Neben der Durchführung von Grundlagenforschung hat die Nachwuchsforschergruppe die Erstellung eines Software-Prototyps zum Ziel. Eine wichtige Funktionalität ist die automatische Erzeugung von Systemdokumentationen für verschiedene BI-Systeme mit dem Schwerpunkt auf den Architekturkomponenten. Im Rahmen des Forschungsprojektes führte die CAWE Nachwuchsforschergruppe unter der Leitung von Prof. Dr. Peter Gluchowski in 2011 eine bundesweite Umfrage bei mittelständischen bis großen Unternehmen zu folgendem Thema durch: „Softwaregestütztes Lebenszyklusmanagement und aktuelles Dokumentationsgeschehen für Business Intelligence-Systeme“. |
Kurze, Christian; Hofmann, Marcus; Jacobi, Frieder; Müller, André; Gluchowski, Peter Towards Model-Driven Evolution of Data Warehouses (Konferenzbeitrag) 13th International Conference on Enterprise Information Systems (ICEIS 2011), Position Paper, Peking, China, June 08-11, 2011. (BibTeX | Schlagwörter: Computer-Aided Warehouse Engineering) @inproceedings{Ku+11,
title = {Towards Model-Driven Evolution of Data Warehouses},
author = {Christian Kurze and Marcus Hofmann and Frieder Jacobi and André Müller and Peter Gluchowski},
year = {2011},
date = {2011-06-08},
booktitle = {13th International Conference on Enterprise Information Systems (ICEIS 2011), Position Paper, Peking, China, June 08-11},
keywords = {Computer-Aided Warehouse Engineering}
}
|
Hofmann, Marcus; Gluchowski, Peter; Jacobi, Frieder; Kurze, Christian Computer-Aided Warehouse Engineering: Dokumentation und Modellierung komplexer Data-Warehouse-Systeme (Vortrag) 11. Europäische TDWI Konferenz, München, Deutschland, 08.06.2011. (Links | BibTeX | Schlagwörter: Business Intelligence, Computer-Aided Warehouse Engineering, Dokumentation, MDD) @misc{MH11,
title = {Computer-Aided Warehouse Engineering: Dokumentation und Modellierung komplexer Data-Warehouse-Systeme},
author = {Marcus Hofmann and Peter Gluchowski and Frieder Jacobi and Christian Kurze },
url = {https://www.tdwi.eu/nc/veranstaltungen/konferenzen/tdwi-2011-munich.html?tx_fhconference_pi1_conference_view[show]=online_program&tx_fhconference_pi1_conference_view[session]=516},
year = {2011},
date = {2011-06-08},
address = {11. Europäische TDWI Konferenz, München, Deutschland},
keywords = {Business Intelligence, Computer-Aided Warehouse Engineering, Dokumentation, MDD},
tppubtype = {presentation}
}
|
