references.bib

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@Book{Albon2018,
  Title                    = {Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning},
  Author                   = {Albon, C.},
  Publisher                = {O'Reilly Media},
  Year                     = {2018},

  Url                      = {http://shop.oreilly.com/product/0636920085423.do}
}

@Book{Anay2018,
  Title                    = {Clean Code in Python: Refactor Your Legacy Code Base},
  Author                   = {Mariano Anaya},
  Publisher                = {Packt Publishing Ltd},
  Year                     = {2018},

  Url                      = {https://www.worldcat.org/title/clean-code-in-python-refactor-your-legacy-code-base/oclc/1051140696}
}

@Book{Burg2013,
  Title                    = {H{\"o}here Mathematik f{\"u}r Ingenierure},
  Author                   = {Burg, C. and Haf, H. and Wille, F. and Meister, A.},
  Editor                   = {Haf, H. and Meister, A.},
  Publisher                = {Spring},
  Year                     = {2013},
  Edition                  = {6},
  Volume                   = {3},

  Doi                      = {10.1007/978-3-8348-2334-2}
}

@Book{Burg2012,
  Title                    = {H{\"o}here Mathematik f{\"u}r Ingenierure},
  Author                   = {Burg, C. and Haf, H. and Wille, F. and Meister, A.},
  Editor                   = {Haf, H. and Meister, A.},
  Publisher                = {Springer},
  Year                     = {2012},
  Edition                  = {7},
  Volume                   = {2},

  Doi                      = {10.1007/978-3-8348-2267-3}
}

@Book{Cooper2018,
  Title                    = {Adopting InnerSource: Principles and Case Studies},
  Author                   = {Cooper, D. and Stol, K},
  Publisher                = {O'Reilly Media, Inc.},
  Year                     = {2018},

  Url                      = {https://innersourcecommons.org/documents/books/AdoptingInnerSource.pdf}
}

@Book{Duvall2013,
  Title                    = {Continuous integration improving software quality and reducing risk},
  Author                   = {Duvall, P. and Matyas, S. and Glover, A.},
  Publisher                = {Upper Saddle RiverUpper Saddle River},
  Year                     = {2013},

  Url                      = {http://www.worldcat.org/oclc/935172766}
}

@Book{Golub2013,
  Title                    = {Matrix computations},
  Author                   = {Gene H. Golub and Charles F. Van Loan},
  Publisher                = {Johns Hopkins Press},
  Year                     = {2013}
}

@Book{Govindaraj2015,
  Title                    = {Test-Driven Python Development},
  Author                   = {Siddharta Govindaraj},
  Publisher                = {Packt Publishing Ltd},
  Year                     = {2015},

  Url                      = {https://www.packtpub.com/application-development/test-driven-python-development}
}

@Book{Guido2016,
  Title                    = {Introduction to Machine Learning with Python: A Guide for Data Scientists},
  Author                   = {Guido, Sarah and M{\"u}ller, Andreas C.},
  Publisher                = {O'Reilly Media, Inc.},
  Year                     = {2016},

  Url                      = {https://www.oreilly.com/library/view/introduction-to-machine/9781449369880/}
}

@Book{Hunt2019,
  Title                    = {The Pragmatic Programmer: From Journeyman to Master},
  Author                   = {Andrew Hunt and David Thomas},
  Publisher                = {The Pragmatic Bookshelf},
  Year                     = {2019},

  Url                      = {https://pragprog.com/book/tpp20/the-pragmatic-programmer-20th-anniversary-edition}
}

@Book{Kruchten2019,
  Title                    = {Managing Technical Debt: Reducing Friction in Software Development},
  Author                   = {Philippe Kruchten and Robert Nord and Ipek Ozkaya},
  Publisher                = {Software Engineering Institute, Carnegie Mellon University},
  Year                     = {2019},

  Url                      = {https://resources.sei.cmu.edu/library/asset-view.cfm?assetID=546594}
}

@Article{Markovsky2007,
  Title                    = {Overview of total least-squares methods},
  Author                   = {Ivan Markovsky and Sabine Van Huffel},
  Journal                  = {Signal Processing},
  Year                     = {2007},
  Note                     = {Special Section: Total Least Squares and Errors-in-Variables Modeling},
  Number                   = {10},
  Pages                    = {2283 - 2302},
  Volume                   = {87},

  Abstract                 = {We review the development and extensions of the classical total least-squares method and describe algorithms for its generalization to weighted and structured approximation problems. In the generic case, the classical total least-squares problem has a unique solution, which is given in analytic form in terms of the singular value decomposition of the data matrix. The weighted and structured total least-squares problems have no such analytic solution and are currently solved numerically by local optimization methods. We explain how special structure of the weight matrix and the data matrix can be exploited for efficient cost function and first derivative computation. This allows to obtain computationally efficient solution methods. The total least-squares family of methods has a wide range of applications in system theory, signal processing, and computer algebra. We describe the applications for deconvolution, linear prediction, and errors-in-variables system identification.},
  Doi                      = {https://doi.org/10.1016/j.sigpro.2007.04.004},
  ISSN                     = {0165-1684}
}

@Book{Martin2019,
  Title                    = {Clean Agile: Back to Basics},
  Author                   = {Martin, R.},
  Publisher                = {O'Reilly Media},
  Year                     = {2019},

  Url                      = {https://www.oreilly.com/library/view/clean-agile-back/9780135782002/}
}

@Book{Martin2018,
  Title                    = {Clean Architecture: A Craftsman's Guide to Software Structure and Design},
  Author                   = {Martin, R. C.},
  Publisher                = {Prentice Hall},
  Year                     = {2018},

  Url                      = {https://www.oreilly.com/library/view/clean-architecture-a/9780134494272/}
}

@Book{Martin2011,
  Title                    = {The Clean Coder},
  Author                   = {Martin, Robert C.},
  Publisher                = {Pearson Education},
  Year                     = {2011},

  Url                      = {https://www.oreilly.com/library/view/the-clean-coder/9780132542913/}
}

@Book{Martin2008,
  Title                    = {Clean Code: A Handbook of Agile Software Craftsmanship},
  Author                   = {Martin, Robert C.},
  Publisher                = {Prentice Hall},
  Year                     = {2008},

  Url                      = {https://www.oreilly.com/library/view/clean-code/9780136083238/}
}

@Book{Okken2018,
  Title                    = {Python Testing with pytest},
  Author                   = {Brian Okken},
  Publisher                = {The Pragmatic Bookshelf},
  Year                     = {2018},

  Url                      = {https://pragprog.com/book/bopytest/python-testing-with-pytest}
}

@Misc{PyReference,
  Title                    = {The Python Language Reference},

  Author                   = {Python.org},

  Url                      = {https://docs.python.org/3/reference/index.html}
}

@Article{Rhode2020,
  Title                    = {Power prediction for electric vehicles using online machine learning},
  Author                   = {Stephan Rhode and Steven [Van Vaerenbergh] and Matthias Pfriem},
  Journal                  = {Engineering Applications of Artificial Intelligence},
  Year                     = {2020},
  Pages                    = {103278},
  Volume                   = {87},

  Doi                      = {https://doi.org/10.1016/j.engappai.2019.103278},
  ISSN                     = {0952-1976},
  Url                      = {http://www.sciencedirect.com/science/article/pii/S0952197619302428}
}

@InProceedings{Rhode2019,
  Title                    = {Online validity monitor for vehicle dynamics models},
  Author                   = {S. {Rhode} and J. {Von Keler}},
  Booktitle                = {2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)},
  Year                     = {2019},
  Month                    = {Nov},
  Pages                    = {1-6},

  Doi                      = {10.1109/ICCVE45908.2019.8965162},
  ISSN                     = {2378-1289},
  Keywords                 = {Model validation;online;vehicle dynamics;Jensen-Shannon divergence}
}

@Book{Schlusser2016,
  Title                    = {The Hitchhiker's Guide to Python},
  Author                   = {Schlusser, T. and Reitz, K.},
  Publisher                = {O'Reilly Media, Inc.},
  Year                     = {2016},

  Url                      = {https://www.oreilly.com/library/view/the-hitchhikers-guide/9781491933213/}
}

@Book{Schramm2018,
  Title                    = {Modellbildung und Simulation der Dynamik von Kraftfahrzeugen},
  Author                   = {Schramm, D. and Hiller, M. and Bardini, R.},
  Publisher                = {Springer},
  Year                     = {2018},

  Doi                      = {10.1007/978-3-662-54481-5}
}

@Misc{Spolsky2000,
  Title                    = {The Joel Test: 12 Steps to Better Code},

  Author                   = {Spolsky, Joel},
  Year                     = {2000},

  Url                      = {https://www.joelonsoftware.com/2000/08/09/the-joel-test-12-steps-to-better-code/}
}

@Book{VanderPlas2016,
  Title                    = {A Whirlwind Tour of Python},
  Author                   = {VanderPlas, Jake},
  Publisher                = {O'Reilly Media, Inc.},
  Year                     = {2016},

  Url                      = {https://jakevdp.github.io/WhirlwindTourOfPython/}
}

@Book{VanderPlas2016a,
  Title                    = {Python Data Science Handbook},
  Author                   = {VanderPlas, Jake},
  Publisher                = {O'Reilly Media, Inc.},
  Year                     = {2016},

  Url                      = {https://jakevdp.github.io/PythonDataScienceHandbook/}
}

@Misc{PEP8,
  Title                    = {PEP 8 -- Style Guide for Python Code},

  Url                      = {https://www.python.org/dev/peps/pep-0008/}
}

@Misc{PyCheatSheats,
  Title                    = {Python data science cheat sheets},

  Url                      = {https://www.datacamp.com/community/data-science-cheatsheets}
}

@Misc{PyStandardLib,
  Title                    = {The Python Standard Library},

  Url                      = {https://docs.python.org/3/library/index.html#library-index}
}

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