http://dl.gi.de/handle/20.500.12116/27921 2026-07-23T12:20:35Z 2026-07-23T12:20:35Z Schmautzer, Jennifer Trinitis, Carsten http://dl.gi.de/handle/20.500.12116/27933 2019-09-30T07:37:00Z 2019-01-01T00:00:00Z

Gewissensbits – wie würden Sie urteilen? Schmautzer, Jennifer; Trinitis, Carsten

2019-01-01T00:00:00Z Hoffmann, Erwin Rams, Wolfgang Rupp, Martin Schwandt, Nikolai http://dl.gi.de/handle/20.500.12116/27932 2019-09-30T07:37:00Z 2019-01-01T00:00:00Z

Versuch einer ,,Multi-Layer“-Betrachtung von Daten im Lichte von Big Data Hoffmann, Erwin; Rams, Wolfgang; Rupp, Martin; Schwandt, Nikolai Während Big Data häufig lediglich im Kontext ,,technischer“ Attribute gesehen wird, soll hier der Versuch unternommen werden, ein konsistentes ,,Multi-Layer“-Modell für Daten zu entwickeln, das einem systemischen Ansatz folgt. Dieses Modell wird mit seinen Dimensionen vorgestellt und die Relevanz der einzelnen Dimensionen im Hinblick auf ihre Anwendbarkeit und die aktuelle Gesetzeslage diskutiert.

2019-01-01T00:00:00Z Ellmann, Mathias http://dl.gi.de/handle/20.500.12116/27929 2019-09-30T07:37:00Z 2019-01-01T00:00:00Z

Same-Same But Different: On Understanding Duplicates in Stack Overflow Ellmann, Mathias Stack Overflow (SO) is one of the most popular online sites for asking and answering developers’ questions. New posts that cover exactly the same knowledge as previously posted questions get closed and deleted by the community. However, new posts that are very similar to previous questions but which are phrased slightly different are kept and tagged as duplicates: since they might include additional information, hints, or keywords. In this paper, we study exact duplicates and similar duplicates in SO in order to get insights about their properties and content and to understand how the community distinguishes useful from useless (i. e. to be deleted) redundant knowledge. We identified several interesting trends. Unique questions are significantly longer than others. Original questions get answered faster, include more answers, and get more frequently viewed than exact and similar duplicates. When comparing the overlapped text in duplicate pairs, we found almost no difference between exact and similar duplicates. In both cases, about 20–25 % of the question text and 40 % of the tags are identical in an original and its duplicate. However, the answers of the duplicates seem much more diverse with only 5–6 % repeated text.

2019-01-01T00:00:00Z Hellmig, Lutz Hartmann, Werner http://dl.gi.de/handle/20.500.12116/27930 2019-09-30T07:37:00Z 2019-01-01T00:00:00Z

Anmerkungen zum Editorial des Informatik Spektrums 2/2019 Hellmig, Lutz; Hartmann, Werner

2019-01-01T00:00:00Z