Publikationen

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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On rapid releases and software testing: a case study and a semi-systematic literature review

Mäntylä, M. , V, Adams, B., Khomh, F., Engström, E., & Petersen, K. (2015). On rapid releases and software testing: a case study and a semi-systematic literature review. Empirical Software Engineering, 20, 1384–1425.
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  Petersen, Kai
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  FLAIR - Flensburg Artificial Intelligence Research
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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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An elicitation instrument for operationalising GQM+ Strategies (GQM+ S-EI)

Petersen, K., Gencel, C., Asghari, N., & Betz, S. (2015). An elicitation instrument for operationalising GQM+ Strategies (GQM+ S-EI). Empirical Software Engineering, 20, 968–1005.
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  Petersen, Kai
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  FLAIR - Flensburg Artificial Intelligence Research
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Handover of managerial responsibilities in global software development: a case study of source code evolution and quality

Jabangwe, R., Börstler, J., & Petersen, K. (2015). Handover of managerial responsibilities in global software development: a case study of source code evolution and quality. Software quality journal, 23, 539–566.
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  Petersen, Kai
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  FLAIR - Flensburg Artificial Intelligence Research
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Operationalizing the requirements selection process with study selection procedures from systematic literature reviews

Petersen, K., & Bin Ali, N. (2015). Operationalizing the requirements selection process with study selection procedures from systematic literature reviews. In Joint Proceedings of REFSQ-2015 Workshops, Research Method Track, and Poster Track co-located with the 21st International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2015), Essen, Germany, March 23, 2015 (Bd. 1342, S. 102–113).
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  Petersen, Kai
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  FLAIR - Flensburg Artificial Intelligence Research
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Evaluation of simulation-assisted value stream mapping for software product development: Two industrial cases

Bin Ali, N., Petersen, K., & De Fran\cca, B. B. N. (2015). Evaluation of simulation-assisted value stream mapping for software product development: Two industrial cases. Information and software technology, 68, 45–61.
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  Petersen, Kai
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  FLAIR - Flensburg Artificial Intelligence Research
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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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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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Guidelines for conducting systematic mapping studies in software engineering: An update

Petersen, K., Vakkalanka, S., & Kuzniarz, L. (2015). Guidelines for conducting systematic mapping studies in software engineering: An update. Information and Software Technology, 64, 1–18.
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  Petersen, Kai
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  FLAIR - Flensburg Artificial Intelligence Research
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