November 2024
Intermediate to advanced
270 pages
7h 37m
French
Content preview from Outillage Python hypermoderne
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Chapitre 7. Mesurer la couvertureavec Coverage.py
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A quel point es-tu confiant dans un changement de code lorsque tes tests sont réussis ?
Si tu considères les tests comme un moyen de détecter les bugs, tu peux décrire leur sensibilité et leur spécificité.
La sensibilité de ta suite de tests est la probabilité d'échec d'un test lorsqu'il y a un défaut dans le code. Si de grandes parties du code ne sont pas testées, ou si les tests ne vérifient pas le comportement attendu, ta sensibilité est faible.
La spécificité de tes tests est la probabilité qu'ils réussissent si le code est exempt de défauts. Si tes tests sont instables (ils échouent par intermittence) oufragiles (ils échouent lorsque tu changes les détails de l'implémentation), alors tu as une faible spécificité. Invariablement, les gens cessent de prêter attention aux tests qui échouent. Ce chapitre ne traite pas de la spécificité.
Il existe un excellent moyen d'augmenter la sensibilité de tes tests : lorsque tu ajoutes ou modifies un comportement, écris un test qui échoue avant le code qui le fait passer. Si tu fais cela, ta suite de tests saisira tes attentes par rapport au code.
Une autre stratégie efficace consiste à tester ton logiciel avec les différentes entrées et contraintes environnementales que tu t'attends à rencontrer dans le monde réel. Couvre les cas limites d'une fonction, comme ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.