Publikationen

2015

• A conceptual framework of challenges and solutions for managing global software maintenance

  Ulziit, B., Warraich, Z. A., Gencel, C., & Petersen, K. (2015). A conceptual framework of challenges and solutions for managing global software maintenance. Journal of Software: Evolution and Process, 27, 763–792.

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    • Petersen, Kai

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    • FLAIR - Flensburg Artificial Intelligence Research

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  • 2015
  • Journal Article
  • • Bayarbuyan Ulziit
    • Zeeshan Warraich
    • Cigdem Gencel
    • Kai Petersen

• Richtlinie für Windenergieanlagen Einwirkungen und Standsicherheitsnachweise für Turm und Gründung

  Faber, P. D.-I. T. (2015). Richtlinie für Windenergieanlagen Einwirkungen und Standsicherheitsnachweise für Turm und Gründung.

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    • Faber, Torsten

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  • 2015
  • Report
  • • Prof. Dr.-Ing. Torsten Faber
  • • WETI

• Heterogeneous systems testing techniques: An exploratory survey

  Ghazi, A. N., Petersen, K., & Börstler, J. (2015). Heterogeneous systems testing techniques: An exploratory survey. In International Conference on Software Quality (S. 67–85).

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    • Petersen, Kai

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    • FLAIR - Flensburg Artificial Intelligence Research

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  • 2015
  • Conference Paper
  • • Ahmad Ghazi
    • Kai Petersen
    • Jürgen Börstler

• Iterative Verbesserung der Datenqualität in relationalen Datenbankmanagementsystemen

  Cordts, S. (2015). Iterative Verbesserung der Datenqualität in relationalen Datenbankmanagementsystemen. In AKWI-Jahrestagung. mana-Buch Verlag.

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    • FLAIR - Flensburg Artificial Intelligence Research

  • Fachbereich

    • Fachbereich 4: Wirtschaft

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  • 2015
  • Conference Paper
  • • Sönke Cordts

• Affine Equivalency and Nonlinearity Preserving Bijective Mappings over $\mathbb{F}_2$

  Sertkaya, I., Doganaksoy, A., Uzunkol, O., & Kiraz, M. S. (2015). Affine Equivalency and Nonlinearity Preserving Bijective Mappings over $\mathbb{F}_2$. In Arithmetic of Finite Fields (S. 121–136). Springer International Publishing. http://doi.org/10.1007/978-3-319-16277-5_7

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    • Uzunkol, Osmanbey

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    • Fachbereich 3: Information und Kommunikation

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  • 2015
  • Conference Paper
  • • Isa Sertkaya
    • Ali Doganaksoy
    • Osmanbey Uzunkol
    • Mehmet Kiraz

• Identification of Habitat-Specific Biomes of Aquatic Fungal Communities Using a Comprehensive Nearly Full-Length 18S rRNA Dataset Enriched with Contextual Data

  Panzer, K., Yilmaz, P., Weiß, M., Reich, L., Richter, M., Wiese, J., … Reich, M. (2015). Identification of Habitat-Specific Biomes of Aquatic Fungal Communities Using a Comprehensive Nearly Full-Length 18S rRNA Dataset Enriched with Contextual Data. PLoS ONE, 10, e0134377. Abgerufen von http://oceanrep.geomar.de/29516/

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  Molecular diversity surveys have demonstrated that aquatic fungi are highly diverse, and that they play fundamental ecological roles in aquatic systems. Unfortunately, comparative studies of aquatic fungal communities are few and far between, due to the scarcity of adequate datasets. We combined all publicly available fungal 18S ribosomal RNA (rRNA) gene sequences with new sequence data from a marine fungi culture collection. We further enriched this dataset by adding validated contextual data. Specifically, we included data on the habitat type of the samples assigning fungal taxa to ten different habitat categories. This dataset has been created with the intention to serve as a valuable reference dataset for aquatic fungi including a phylogenetic reference tree. The combined data enabled us to infer fungal community patterns in aquatic systems. Pairwise habitat comparisons showed significant phylogenetic differences, indicating that habitat strongly affects fungal community structure. Fungal taxonomic composition differed considerably even on phylum and class level. Freshwater fungal assemblage was most different from all other habitat types and was dominated by basal fungal lineages. For most communities, phylogenetic signals indicated clustering of sequences suggesting that environmental factors were the main drivers of fungal community structure, rather than species competition. Thus, the diversification process of aquatic fungi must be highly clade specific in some cases.The combined data enabled us to infer fungal community patterns in aquatic systems. Pairwise habitat comparisons showed significant phylogenetic differences, indicating that habitat strongly affects fungal community structure. Fungal taxonomic composition differed considerably even on phylum and class level. Freshwater fungal assemblage was most different from all other habitat types and was dominated by basal fungal lineages. For most communities, phylogenetic signals indicated clustering of sequences suggesting that environmental factors were the main drivers of fungal community structure, rather than species competition. Thus, the diversification process of aquatic fungi must be highly clade specific in some cases.

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  • 2015
  • Journal Article
  • • Katrin Panzer
    • Pelin Yilmaz
    • Michael Weiß
    • Lothar Reich
    • Michael Richter
    • Jutta Wiese
    • Rolf Schmaljohann
    • Antje Labes
    • Johannes Imhoff
    • Frank Glöckner
    • Marlis Reich
  • • Habitats
    • Fungal genetics
    • Phylogenetics
    • Fungi
    • Fungal structure
    • Fresh water
    • Phylogenetic analysis
    • Ribosomal RNA

• Decision support for choosing architectural assets in the development of software-intensive systems: The GRADE taxonomy

  Papatheocharous, E., Petersen, K., Cicchetti, A., Sentilles, S. everine, Shah, S. M. A., & Gorschek, T. (2015). Decision support for choosing architectural assets in the development of software-intensive systems: The GRADE taxonomy. In Proceedings of the 2015 European Conference on Software Architecture Workshops (S. 1–7).

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    • Petersen, Kai

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    • FLAIR - Flensburg Artificial Intelligence Research

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  • 2015
  • Conference Paper
  • • Efi Papatheocharous
    • Kai Petersen
    • Antonio Cicchetti
    • S\ Sentilles
    • Syed Shah
    • Tony Gorschek

• Metrics for the evaluation of feature models in an industrial context: A case study at opel

  Oliinyk, O., Petersen, K., Schoelzke, M., Becker, M., & Schneickert, S. (2015). Metrics for the evaluation of feature models in an industrial context: A case study at opel. In International Working Conference on Requirements Engineering: Foundation for Software Quality (S. 33–48).

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    • Petersen, Kai

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    • FLAIR - Flensburg Artificial Intelligence Research

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  • 2015
  • Conference Paper
  • • Olesia Oliinyk
    • Kai Petersen
    • Manfred Schoelzke
    • Martin Becker
    • Soeren Schneickert

• Template Engines für C# im Vergleich

  Richter, S., & Cordts, S. (2015). Template Engines für C# im Vergleich. windows.developer.

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  • Fachbereich

    • Fachbereich 4: Wirtschaft

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  • 2015
  • Journal Article
  • • Sebastian Richter
    • Sönke Cordts