@article{NaujokatNeubauerLamprechtetal.2014,
  author    = {Naujokat, Stefan and Neubauer, Johannes and Lamprecht, Anna-Lena and Steffen, Bernhard and Joerges, Sven and Margaria, Tiziana},
  title     = {Simplicity-first model-based plug-in development},
  series = {Software : practice \& experience},
  volume    = {44},
  journal   = {Software : practice \& experience},
  number    = {3},
  publisher = {Wiley-Blackwell},
  address   = {Hoboken},
  issn      = {0038-0644},
  doi       = {10.1002/spe.2243},
  pages     = {277 -- 297},
  year      = {2014},
  abstract  = {In this article, we present our experience with over a decade of strict simplicity orientation in the development and evolution of plug-ins. The point of our approach is to enable our graphical modeling framework jABC to capture plug-in development in a domain-specific setting. The typically quite tedious and technical plug-in development is shifted this way from a programming task to the modeling level, where it can be mastered also by application experts without programming expertise. We show how the classical plug-in development profits from a systematic domain-specific API design and how the level of abstraction achieved this way can be further enhanced by defining adequate building blocks for high-level plug-in modeling. As the resulting plug-in models can be compiled and deployed automatically, our approach decomposes plug-in development into three phases where only the realization phase requires plug-in-specific effort. By using our modeling framework jABC, this effort boils down to graphical, tool-supported process modeling. Furthermore, we support the automatic completion of process sketches for executability. All this will be illustrated along the most recent plug-in-based evolution of the jABC framework, which witnessed quite some bootstrapping effects.},
  language  = {en}
}
@article{StoneLagoSchad2021,
  author    = {Stone, Kate and Lago, Sol and Schad, Daniel},
  title     = {Divergence point analyses of visual world data},
  series = {Bilingualism : language and cognition},
  volume    = {24},
  journal   = {Bilingualism : language and cognition},
  number    = {5},
  publisher = {Cambridge Univ. Press},
  address   = {Cambridge},
  issn      = {1366-7289},
  doi       = {10.1017/S1366728920000607},
  pages     = {833 -- 841},
  year      = {2021},
  abstract  = {Much work has shown that differences in the timecourse of language processing are central to comparing native (L1) and non-native (L2) speakers. However, estimating the onset of experimental effects in timecourse data presents several statistical problems including multiple comparisons and autocorrelation. We compare several approaches to tackling these problems and illustrate them using an L1-L2 visual world eye-tracking dataset. We then present a bootstrapping procedure that allows not only estimation of an effect onset, but also of a temporal confidence interval around this divergence point. We describe how divergence points can be used to demonstrate timecourse differences between speaker groups or between experimental manipulations, two important issues in evaluating L2 processing accounts. We discuss possible extensions of the bootstrapping procedure, including determining divergence points for individual speakers and correlating them with individual factors like L2 exposure and proficiency. Data and an analysis tutorial are available at https://osf.io/exbmk/.},
  language  = {en}
}