Download Softwaretests mit Python by Johannes Hubertz PDF

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By Johannes Hubertz

Der Autor erläutert, wie Qualität Vertrauen in die Schutzmaßnahmen schafft: Neu entwickelte software program kann durch Test-Driven improvement kontinuierlich auf die Einhaltung der Anforderungen überprüft werden, diese sind dank explizit formulierter checks stets nachvollziehbar. software program zuverlässig zu machen, ist das Ziel von Softwaretests. Qualitätssicherung kann durch Testen mit verschiedenen Werkzeugen, die durch Python bereitgestellt werden, bei der Software-Entwicklung Risiken vermeiden. Nur intestine getestete software program kann verlässlich die ständig vorhandene Anforderung nach Vertraulichkeit, Verfügbarkeit und Datenintegrität sicherstellen.

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12: Sphinx: Erweiterung autosummary im Quelltext nutzen Sphinx extrahiert damit die Docstrings aus den genannten Modulen und formatiert diese in der Ausgabe übersichtlich. py Python-Code sind, ist es beliebig an die eigenen Bedürfnisse anpassbar. txt im Hauptverzeichnis des Projektes sollte nicht fehlen, in der Release Informationen, Datum, Autor und Lizenz kurz erwähnt werden. Vielleicht ist darin auch ein Hinweis auf vorhandene Dokumentation sinnvoll. org wertvolle Unterstützung leisten. Gemeinsame Arbeiten nahezu beliebig Vieler an einer Sache wird durch diese Plattformen unterstützt, bei Freier Software ist die Nutzung kostenlos.

Separiert gepflegte Dokumentation erhöht den Aufwand nicht unwesentlich. Der Abstand zwischen Software und Dokumentation ist maßgeblich für die Aktualität der Dokumentation. In den Quelltexten werden Fehler üblicherweise mit Bugtrackingsystemen registriert, überwacht und bereinigt, da der Projekterfolg unmittelbar betroffen ist. Derartige Mechanismen für Dokumentation sind sinnvoll nicht unabhängig davon nochmals zu pflegen. Bei Python-Projekten ist es üblich, Dokumentation im reStructuredTextFormat abzulegen.

Warum? Für mich gibt es hauptsächlich zwei Gründe für TDD: • Man merkt früher, ob die API flexibel ist. 53 2 Doctest Wenn man feststellt, dass man ein aufwändiges Setup braucht oder viele Objekte „mocken“ muss, sollte man möglichst das Design des zu testenden Codes vereinfachen. Eine einfache API zahlt sich aber nicht nur beim Testen aus. Sie hilft auch bei der späteren Weiterentwicklung, weil sich die Bestandteile der Software leichter auf neue Weise kombinieren lassen, um neue Anforderungen zu erfüllen.

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