{"id":6521,"date":"2020-08-26T07:15:52","date_gmt":"2020-08-26T05:15:52","guid":{"rendered":"https:\/\/zsquaresolutionsinc.com\/?p=6521"},"modified":"2020-08-26T07:16:17","modified_gmt":"2020-08-26T05:16:17","slug":"impact-of-artificial-intelligence-on-qa-automation","status":"publish","type":"post","link":"https:\/\/zsquaresolutionsinc.com\/fr\/2020\/08\/26\/impact-of-artificial-intelligence-on-qa-automation\/","title":{"rendered":"Intelligence Artificielle\nImpact de l'Intelligence Artificielle sur l'Automatisation de l'Assurance Qualit\u00e9"},"content":{"rendered":"<p style=\"text-align: center;\"><strong>Intelligence Artificielle\nImpact de l'Intelligence Artificielle sur l'Automatisation de l'Assurance Qualit\u00e9<\/strong><\/p>\n<p style=\"text-align: center;\"><em>Par Lisette Zounon, CSM-CSP, CAL1, DTM\u00a0<\/em><\/p>\n<p>Au cours des dix derni\u00e8res ann\u00e9es, la plupart des outils d'automatisation de l'assurance qualit\u00e9 ont offert aux ing\u00e9nieurs QA des opportunit\u00e9s de cr\u00e9er de l'automatisation de tests, mais nous manquons encore dans certains domaines tels que l'efficacit\u00e9 d'ex\u00e9cution, la r\u00e9utilisabilit\u00e9 des cas de test et les mises \u00e0 jour rapides. Les tests manuels peuvent prendre beaucoup de temps chaque fois qu'une rupture se produit dans le script. L'automatisation de l'assurance qualit\u00e9 a une marge d'am\u00e9lioration pour permettre une d\u00e9tection rapide des erreurs. Fondamentalement, l'apprentissage automatique (Machine Learning) est une technologie de reconnaissance de formes \u2013 elle utilise des mod\u00e8les identifi\u00e9s par vos algorithmes d'apprentissage automatique pour pr\u00e9dire les tendances futures.<\/p>\n<p>L'intelligence artificielle devient tr\u00e8s cruciale dans les technologies de l'information. Ces derni\u00e8res ann\u00e9es, l'automatisation logicielle a exp\u00e9riment\u00e9 l'IA et l'apprentissage automatique. Ci-dessous, nous allons d\u00e9tailler certains des avantages des outils bas\u00e9s sur l'IA.<\/p>\n<p>&nbsp;<\/p>\n<ol>\n<li><strong> <\/strong><strong>D\u00e9terminer les avantages de l'utilisation d'un outil bas\u00e9 sur l'IA<\/strong>\n<ul>\n<li><strong> <\/strong><strong>Tests de validation visuelle<\/strong><\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<p>Les tests visuels consistent \u00e0 v\u00e9rifier si les aspects visuels de l'application semblent appropri\u00e9s aux utilisateurs finaux. Les bugs visuels sont g\u00e9n\u00e9ralement des probl\u00e8mes de rendu.<span>\u00a0 <\/span>En raison de la pr\u00e9cision des tests visuels automatis\u00e9s aliment\u00e9s par l'IA, ils peuvent \u00eatre d\u00e9ploy\u00e9s pour plus que de simples tests fonctionnels et visuels. Les outils de test visuel aliment\u00e9s par l'IA sont cruciaux pour valider toute application qui n\u00e9cessite un changement constant de contenu et de format.<\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<ul>\n<li><strong> <\/strong><strong>Tester les API<\/strong><\/li>\n<\/ul>\n<p>Les tests d'API activ\u00e9s par l'intelligence artificielle offrent un bond en avant en productivit\u00e9 et en efficacit\u00e9. Vous pouvez capturer toutes les \u00e9tapes en un seul ensemble. Avec une API activ\u00e9e par l'IA, vous pouvez d\u00e9finir quelque chose une fois et le verrouiller dans un mod\u00e8le de test intelligent et partager ce mod\u00e8le avec un grand nombre de testeurs. Cela aide \u00e0 g\u00e9rer et comprendre l'inventaire complet des API. Les utilisateurs peuvent b\u00e9n\u00e9ficier de l'ajout d'apprentissage automatique pour automatiser la cr\u00e9ation de tests API en apportant coh\u00e9rence et couverture \u00e0 leurs efforts.<\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<ul>\n<li><strong> <\/strong><strong>Auto-gu\u00e9rison des tests automatis\u00e9s<\/strong><\/li>\n<\/ul>\n<p>Il est n\u00e9cessaire d'avoir un syst\u00e8me pour d\u00e9tecter les pannes et les r\u00e9parer automatiquement sans intervention humaine. Le test automatis\u00e9 n\u00e9cessite beaucoup de maintenance lorsque vous avez une application qui change fr\u00e9quemment. L'auto-gu\u00e9rison (self-healing ou auto-healing) est utilis\u00e9e pour aider \u00e0 s'adapter aux changements mineurs, afin que les tests continuent de fonctionner. Chaque fois que des tests sont ex\u00e9cut\u00e9s, ils interagissent avec un \u00e9l\u00e9ment ; ils collectent des attributs d'\u00e9l\u00e9ment qu'ils utilisent pour trouver l'\u00e9l\u00e9ment la prochaine fois et suivre les changements au fil du temps. Le test pourrait suivre de nombreux attributs tels que le texte, les classes CSS, les donn\u00e9es et d'autres informations comme l'emplacement et la taille sur la page. Toute \u00e9tape de test qui interagit avec un \u00e9l\u00e9ment sur la page peut \u00eatre auto-r\u00e9par\u00e9e.<\/p>\n<p>&nbsp;<\/p>\n<p><iframe loading=\"lazy\" width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/_QSA0INh9Qg\" frameborder=\"0\" allow=\"accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\n<p>L'automatisation activ\u00e9e par l'IA apporte une valeur suppl\u00e9mentaire, parfois intangible, aux testeurs QA. L'IA rend vos tests fiables car vos tests peuvent maintenant s'adapter aux changements de d\u00e9veloppement. L'IA n'est pas l\u00e0 pour prendre le relais de l'assurance qualit\u00e9, mais plut\u00f4t pour permettre \u00e0 l'ing\u00e9nieur qualit\u00e9 de devenir plus productif et de se concentrer sur ce que l'assurance qualit\u00e9 fait de mieux.<\/p>\n<p>Certains des avantages que l'IA a prouv\u00e9s sont :<\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<ul>\n<li><strong> <\/strong><strong>Am\u00e9lioration de la cr\u00e9ation des cas de test<\/strong><\/li>\n<li><strong> <\/strong><strong>Am\u00e9lioration des portes de qualit\u00e9<\/strong><\/li>\n<li><strong> <\/strong><strong>Rep\u00e9rer les erreurs en double et les nouvelles erreurs dans les modifications de code<\/strong><\/li>\n<li><strong> <\/strong><strong>Cr\u00e9er des tests automatis\u00e9s plus fiables<\/strong><\/li>\n<\/ul>\n<p>J'ai eu l'opportunit\u00e9 d'exp\u00e9rimenter et d'utiliser des syst\u00e8mes d'assurance qualit\u00e9 avec des tests fonctionnels et des tests de charge, tous deux exploitant l'intelligence artificielle. Vous trouverez ci-dessous un r\u00e9sum\u00e9 d'une \u00e9tude de cas parmi tant d'autres sur l'utilisation d'un outil d'automatisation bas\u00e9 sur l'IA.<\/p>\n<p>&nbsp;<\/p>\n<ol start=\"2\">\n<li><strong> <\/strong><strong>R\u00e9sum\u00e9 de l'\u00e9tude de cas r\u00e9ussie de l'utilisation d'un outil bas\u00e9 sur l'IA <\/strong><\/li>\n<\/ol>\n<p><strong>Probl\u00e8me <\/strong><\/p>\n<p>Cette \u00e9quipe agile tr\u00e8s performante travaille ensemble depuis plus de 10 mois \u00e0 la construction d'un nouveau site avec divers services pour les clients. Ils avaient respect\u00e9 le d\u00e9lai initial apr\u00e8s tout le travail acharn\u00e9 pour satisfaire les clients. Mais maintenant, ils ont un \u00e9norme retard de fonctionnalit\u00e9s que le client attend d'eux dans les six prochains mois. La pr\u00e9occupation de l'\u00e9quipe concerne principalement la garantie que les nouvelles fonctionnalit\u00e9s, la nouvelle version du code, ne cassent pas les fonctionnalit\u00e9s existantes auxquelles les clients sont habitu\u00e9s. Le seul membre de l'\u00e9quipe QA dans cette \u00e9quipe agile a cr\u00e9\u00e9 plus de 1100 cas de test pour tester avec succ\u00e8s toutes les fonctionnalit\u00e9s de ce site. Le membre de l'\u00e9quipe QA prend g\u00e9n\u00e9ralement 2 \u00e0 4 jours, trois jours en moyenne, pour ex\u00e9cuter tous les cas de test de r\u00e9gression apr\u00e8s chaque version de code dans un environnement. L'objectif est d'assurer une livraison rapide, une d\u00e9tection rapide des erreurs d'un environnement \u00e0 l'autre, et enfin un retour rapide des clients satisfaits.<\/p>\n<p><strong>Solution <\/strong><\/p>\n<p>La direction QA a pris en charge ce probl\u00e8me et a cherch\u00e9 un outil pouvant aider \u00e0 r\u00e9soudre ce d\u00e9fi et assurer une livraison rapide, une d\u00e9tection rapide des erreurs et un retour rapide. Nous avons trouv\u00e9 un outil bas\u00e9 sur l'IA que le membre de l'\u00e9quipe QA peut exploiter pour r\u00e9soudre ce probl\u00e8me. Apr\u00e8s avoir parl\u00e9 avec l'\u00e9quipe agile et leur avoir fait une d\u00e9monstration de cet outil, ils \u00e9taient tous enthousiastes et ont pr\u00e9vu du temps dans leur cycle de sprint pour que l'assurance qualit\u00e9 automatise la suite de r\u00e9gression. L'analyste QA, sans exp\u00e9rience pr\u00e9alable en codage, commence \u00e0 cr\u00e9er des cas de test dans l'outil bas\u00e9 sur l'IA avec une formation. Il a fallu environ 3 \u00e0 4 semaines pour tous ces efforts d'automatisation des 1100 cas de test manuels.<\/p>\n<p><strong>R\u00e9sultat <\/strong><\/p>\n<p>L'ex\u00e9cution des 1100 cas de test automatis\u00e9s prend environ 30 minutes pour s'ex\u00e9cuter avec succ\u00e8s dans un environnement. Ces cas de test sont facilement ex\u00e9cut\u00e9s dans un autre environnement, de l'assurance qualit\u00e9 \u00e0 la pr\u00e9production jusqu'aux environnements de production. L'\u00e9quipe QA se concentre d\u00e9sormais sur les tests des \u00e9l\u00e9ments de travail du sprint et peut exploiter les tests de la suite de r\u00e9gression pour ex\u00e9cuter rapidement les cas de test. L'\u00e9quipe est capable d'exploiter l'automatisation des cas de test dans l'environnement CI\/CD. Cela permet une livraison rapide des nouvelles fonctionnalit\u00e9s, une d\u00e9tection rapide des erreurs et un retour rapide aux clients. L'\u00e9quipe a maintenant une ex\u00e9cution coh\u00e9rente des m\u00eames cas de test dans tous les environnements.<\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<ol start=\"3\">\n<li><strong> <\/strong><strong>Retour sur Investissement du projet et bonheur de l'\u00e9quipe <\/strong><\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<p>Le retour sur investissement (ROI) de l'utilisation d'outils bas\u00e9s sur l'IA dans votre automatisation QA est \u00e9norme pour votre projet et votre \u00e9quipe. En voici quelques-uns que nous connaissons et avons exp\u00e9riment\u00e9s :<\/p>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li>\n<ol>\n<li>Adopter un \u00e9tat d'esprit d'apprentissage continu<\/li>\n<li>Logiciel de haute qualit\u00e9<\/li>\n<li>Logiciel de haute qualit\u00e9<\/li>\n<li>Boucle de r\u00e9troaction rapide vers le client<\/li>\n<li>R\u00e9ponse rapide au probl\u00e8me<\/li>\n<li>Implication de l'\u00e9quipe interfonctionnelle<\/li>\n<li>Augmentation de la confiance de l'\u00e9quipe<\/li>\n<li>L'assurance qualit\u00e9 devient une activit\u00e9 amusante et n'est plus un goulot d'\u00e9tranglement<\/li>\n<li>Augmentation du bonheur de l'\u00e9quipe et meilleur engagement<\/li>\n<li>Excellent travail d'\u00e9quipe et collaboration<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<h1>R\u00e9f\u00e9rences<\/h1>\n<p><a href=\"https:\/\/support.smartbear.com\/testcomplete\/docs\/testing-with\/running\/self-healing-tests.html\">https:\/\/support.smartbear.com\/testcomplete\/docs\/testing-with\/running\/self-healing-tests.html<\/a><\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"https:\/\/techwireasia.com\/2019\/07\/what-is-self-healing-automation-and-why-is-it-important-to-devops\/\">https:\/\/techwireasia.com\/2019\/07\/what-is-self-healing-automation-and-why-is-it-important-to-devops\/<\/a><\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"https:\/\/applitools.com\/blog\/visual-testing\/\">https:\/\/applitools.com\/blog\/visual-testing\/<\/a><\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"https:\/\/www.parasoft.com\/to-make-api-testing-easier-add-machine-learning-to-your-ai\/\">https:\/\/www.parasoft.com\/to-make-api-testing-easier-add-machine-learning-to-your-ai\/<\/a><\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"https:\/\/techbeacon.com\/app-dev-testing\/how-ai-changing-test-automation-5-examples\">https:\/\/techbeacon.com\/app-dev-testing\/how-ai-changing-test-automation-5-examples<\/a><\/p>","protected":false},"excerpt":{"rendered":"<p>Impact of Artificial Intelligence on QA Automation By Lisette Zounon, CSM-CSP, CAL1, DTM\u00a0 In the past ten years, most QA automation tools provide QA engineer opportunities to create test automation, but we still lack in some areas such as efficiency in execution, reusability of the test cases, and fast update.<\/p>","protected":false},"author":3,"featured_media":6523,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"image","meta":{"footnotes":""},"categories":[54],"tags":[],"class_list":["post-6521","post","type-post","status-publish","format-image","has-post-thumbnail","hentry","category-blog","post_format-post-format-image"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Impact of Artificial Intelligence on QA Automation - ZSI - Zsquare Solutions Inc.<\/title>\n<meta name=\"description\" content=\"In the past ten years, most QA automation tools provide QA engineer opportunities to create test automation, but we still lack in some areas such as efficiency in execution, reusability of the test cases, and fast update. Manual testing may take a long time whenever a break in the script occurs. QA automation has room for improvement to enable fast error detection. At its core, Machine Learning is a pattern-recognition technology\u2014it uses\u00a0patterns identified by your machine learning algorithms to predict future trends.Artificial intelligence is becoming very crucial in information technology. In the last few years, software automation has been experimenting with AI and machine learning. Below we are going to detail some of the benefits of AI-based tools.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/zsquaresolutionsinc.com\/fr\/2020\/08\/26\/impact-of-artificial-intelligence-on-qa-automation\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Impact of Artificial Intelligence on QA Automation - ZSI - Zsquare Solutions Inc.\" \/>\n<meta property=\"og:description\" content=\"In the past ten years, most QA automation tools provide QA engineer opportunities to create test automation, but we still lack in some areas such as efficiency in execution, reusability of the test cases, and fast update. Manual testing may take a long time whenever a break in the script occurs. QA automation has room for improvement to enable fast error detection. At its core, Machine Learning is a pattern-recognition technology\u2014it uses\u00a0patterns identified by your machine learning algorithms to predict future trends.Artificial intelligence is becoming very crucial in information technology. In the last few years, software automation has been experimenting with AI and machine learning. Below we are going to detail some of the benefits of AI-based tools.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/zsquaresolutionsinc.com\/fr\/2020\/08\/26\/impact-of-artificial-intelligence-on-qa-automation\/\" \/>\n<meta property=\"og:site_name\" content=\"ZSI - Zsquare Solutions Inc.\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/Zsquare-Solutions-Inc-101603384564181\/\" \/>\n<meta property=\"article:published_time\" content=\"2020-08-26T05:15:52+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2020-08-26T05:16:17+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/zsquaresolutionsinc.com\/wp-content\/uploads\/2020\/08\/vectorstock_19463808.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1944\" \/>\n\t<meta property=\"og:image:height\" content=\"2332\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Lisette Zounon\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@zsquarei\" \/>\n<meta name=\"twitter:site\" content=\"@zsquarei\" \/>\n<meta name=\"twitter:label1\" content=\"\u00c9crit par\" \/>\n\t<meta name=\"twitter:data1\" content=\"Lisette Zounon\" \/>\n\t<meta name=\"twitter:label2\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data2\" content=\"5 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/zsquaresolutionsinc.com\/2020\/08\/26\/impact-of-artificial-intelligence-on-qa-automation\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/zsquaresolutionsinc.com\/2020\/08\/26\/impact-of-artificial-intelligence-on-qa-automation\/\"},\"author\":{\"name\":\"Lisette Zounon\",\"@id\":\"https:\/\/zsquaresolutionsinc.com\/#\/schema\/person\/bcc29f859a7dee97a1d7d75524a00bdb\"},\"headline\":\"Impact of Artificial Intelligence on QA Automation\",\"datePublished\":\"2020-08-26T05:15:52+00:00\",\"dateModified\":\"2020-08-26T05:16:17+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/zsquaresolutionsinc.com\/2020\/08\/26\/impact-of-artificial-intelligence-on-qa-automation\/\"},\"wordCount\":1040,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/zsquaresolutionsinc.com\/#organization\"},\"image\":{\"@id\":\"https:\/\/zsquaresolutionsinc.com\/2020\/08\/26\/impact-of-artificial-intelligence-on-qa-automation\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/zsquaresolutionsinc.com\/wp-content\/uploads\/2020\/08\/vectorstock_19463808.jpg\",\"articleSection\":[\"Blog\"],\"inLanguage\":\"fr-FR\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/zsquaresolutionsinc.com\/2020\/08\/26\/impact-of-artificial-intelligence-on-qa-automation\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/zsquaresolutionsinc.com\/2020\/08\/26\/impact-of-artificial-intelligence-on-qa-automation\/\",\"url\":\"https:\/\/zsquaresolutionsinc.com\/2020\/08\/26\/impact-of-artificial-intelligence-on-qa-automation\/\",\"name\":\"Impact of Artificial Intelligence on QA Automation - ZSI - Zsquare Solutions Inc.\",\"isPartOf\":{\"@id\":\"https:\/\/zsquaresolutionsinc.com\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/zsquaresolutionsinc.com\/2020\/08\/26\/impact-of-artificial-intelligence-on-qa-automation\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/zsquaresolutionsinc.com\/2020\/08\/26\/impact-of-artificial-intelligence-on-qa-automation\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/zsquaresolutionsinc.com\/wp-content\/uploads\/2020\/08\/vectorstock_19463808.jpg\",\"datePublished\":\"2020-08-26T05:15:52+00:00\",\"dateModified\":\"2020-08-26T05:16:17+00:00\",\"description\":\"In the past ten years, most QA automation tools provide QA engineer opportunities to create test automation, but we still lack in some areas such as efficiency in execution, reusability of the test cases, and fast update. 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