{"id":41243,"date":"2026-03-15T09:00:37","date_gmt":"2026-03-15T06:00:37","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/yapay-zeka-destekli-cypress-ci-secici-kaymasini-otomatik-algilama-ve-cozum-onerileri\/"},"modified":"2026-03-15T09:00:37","modified_gmt":"2026-03-15T06:00:37","slug":"yapay-zeka-destekli-cypress-ci-secici-kaymasini-otomatik-algilama-ve-cozum-onerileri","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/yapay-zeka-destekli-cypress-ci-secici-kaymasini-otomatik-algilama-ve-cozum-onerileri\/","title":{"rendered":"Yapay Zeka Destekli Cypress CI: Se\u00e7ici Kaymas\u0131n\u0131 Otomatik Alg\u0131lama ve \u00c7\u00f6z\u00fcm \u00d6nerileri"},"content":{"rendered":"<h2>Yapay Zeka Destekli Cypress CI: Se\u00e7ici Kaymas\u0131n\u0131 Otomatik Alg\u0131lama ve \u00c7\u00f6z\u00fcm \u00d6nerileri<\/h2>\n<p>U\u00e7tan uca (end-to-end) testler, modern web uygulamalar\u0131n\u0131n kalitesini g\u00fcvence alt\u0131na alman\u0131n kritik bir par\u00e7as\u0131d\u0131r. Cypress gibi ara\u00e7lar bu s\u00fcreci kolayla\u015ft\u0131rsa da, geli\u015ftirme d\u00f6ng\u00fcs\u00fcnde s\u0131k\u00e7a kar\u015f\u0131la\u015f\u0131lan &#8220;se\u00e7ici kaymas\u0131&#8221; (selector drift) problemi, testlerin k\u0131r\u0131lmas\u0131na ve bak\u0131m maliyetlerinin artmas\u0131na neden olur. Bu makale, yapay zekan\u0131n (YZ) bu sorunu otomatik olarak tespit etme ve hatta \u00e7\u00f6z\u00fcm \u00f6nerileri sunma potansiyelini ele almaktad\u0131r.<\/p>\n<h3>Giri\u015f: Se\u00e7ici Kaymas\u0131 ve U\u00e7tan Uca Testlerdeki Zorluklar<\/h3>\n<p>Modern web uygulamalar\u0131 h\u0131zla geli\u015firken, kullan\u0131c\u0131 deneyimini do\u011frudan etkileyen u\u00e7tan uca testlerin \u00f6nemi de artmaktad\u0131r. Cypress, geli\u015ftiricilere h\u0131zl\u0131, g\u00fcvenilir ve okunabilir testler yazma imkan\u0131 sunarak bu alanda pop\u00fcler bir ara\u00e7 haline gelmi\u015ftir. Ancak, kullan\u0131c\u0131 aray\u00fcz\u00fcndeki (UI) en k\u00fc\u00e7\u00fck bir de\u011fi\u015fiklik bile, testlerin temelini olu\u015fturan DOM se\u00e7icilerinin (CSS se\u00e7icileri, XPath&#8217;ler vb.) ge\u00e7ersiz hale gelmesine yol a\u00e7abilir. Bu duruma &#8220;se\u00e7ici kaymas\u0131&#8221; denir ve s\u00fcrekli entegrasyon (CI) s\u00fcre\u00e7lerinde testlerin s\u0131k\u00e7a ba\u015far\u0131s\u0131z olmas\u0131na, geli\u015ftirme h\u0131z\u0131n\u0131n d\u00fc\u015fmesine ve test bak\u0131m maliyetlerinin artmas\u0131na neden olur.<\/p>\n<h4>Cypress ve U\u00e7tan Uca Testlerin \u00d6nemi<\/h4>\n<p>Cypress, taray\u0131c\u0131da do\u011frudan \u00e7al\u0131\u015fan, h\u0131zl\u0131 geri bildirim sa\u011flayan ve geli\u015ftirici dostu bir test \u00e7er\u00e7evesidir. Uygulaman\u0131n ger\u00e7ek bir kullan\u0131c\u0131 gibi test edilmesini sa\u011flayarak, entegrasyon ve birim testlerinin g\u00f6zden ka\u00e7\u0131rabilece\u011fi kritik hatalar\u0131 yakalar. Bu testler, uygulaman\u0131n farkl\u0131 bile\u015fenlerinin bir araya geldi\u011finde beklenen \u015fekilde \u00e7al\u0131\u015ft\u0131\u011f\u0131ndan emin olmak i\u00e7in hayati \u00f6neme sahiptir.<\/p>\n<h4>Se\u00e7ici Kaymas\u0131 (Selector Drift) Nedir?<\/h4>\n<p>Se\u00e7ici kaymas\u0131, bir web uygulamas\u0131n\u0131n kullan\u0131c\u0131 aray\u00fcz\u00fcnde yap\u0131lan de\u011fi\u015fiklikler sonucunda, otomasyon testlerinde kullan\u0131lan DOM se\u00e7icilerinin art\u0131k hedeflenen elementi bulamamas\u0131 durumudur. \u00d6rne\u011fin, bir d\u00fc\u011fmenin CSS s\u0131n\u0131f\u0131 de\u011fi\u015fti\u011finde veya HTML yap\u0131s\u0131 yeniden d\u00fczenlendi\u011finde, o d\u00fc\u011fmeyi hedefleyen bir Cypress testi ba\u015far\u0131s\u0131z olacakt\u0131r. Bu durum, \u00f6zellikle h\u0131zl\u0131 iterasyonlarla \u00e7al\u0131\u015fan \u00e7evik geli\u015ftirme ekipleri i\u00e7in ciddi bir engel te\u015fkil eder.<\/p>\n<h4>Geleneksel Yakla\u015f\u0131mlar\u0131n S\u0131n\u0131rl\u0131l\u0131klar\u0131<\/h4>\n<p>Geleneksel olarak, se\u00e7ici kaymas\u0131 sorunlar\u0131 manuel olarak tespit edilir ve d\u00fczeltilir. Bu s\u00fcre\u00e7, ba\u015far\u0131s\u0131z olan testlerin incelenmesini, yeni se\u00e7icilerin belirlenmesini ve test kodunun g\u00fcncellenmesini i\u00e7erir. B\u00fcy\u00fck projelerde ve s\u0131k UI de\u011fi\u015fikliklerinde bu, zaman al\u0131c\u0131, hataya a\u00e7\u0131k ve maliyetli bir s\u00fcre\u00e7 haline gelir. Geli\u015ftiricilerin veya QA m\u00fchendislerinin de\u011ferli zaman\u0131n\u0131 temel i\u015flevsellik geli\u015ftirmek yerine test bak\u0131m\u0131yla harcamas\u0131na neden olur.<\/p>\n<h3>Yapay Zeka Destekli Yakla\u015f\u0131m\u0131n Temelleri<\/h3>\n<p>Yapay zeka ve makine \u00f6\u011frenimi, otomasyon testlerindeki bu t\u00fcr tekrarlayan ve problematik g\u00f6revleri \u00e7\u00f6zme potansiyeline sahiptir. YZ modelleri, uygulaman\u0131n davran\u0131\u015f\u0131n\u0131 ve UI yap\u0131s\u0131n\u0131 \u00f6\u011frenerek, se\u00e7ici kaymalar\u0131n\u0131 proaktif bir \u015fekilde tespit edebilir ve hatta d\u00fczeltme \u00f6nerileri sunabilir.<\/p>\n<h4>Makine \u00d6\u011frenimi ve Test Otomasyonu<\/h4>\n<p>Makine \u00f6\u011frenimi algoritmalar\u0131, b\u00fcy\u00fck veri k\u00fcmelerinden desenleri ve ili\u015fkileri \u00f6\u011frenerek tahminlerde bulunabilir veya kararlar alabilir. Test otomasyonu ba\u011flam\u0131nda, bu algoritmalar, bir elementin \u00f6nceki durumlar\u0131, \u00e7evresindeki di\u011fer elementler ve g\u00f6rsel \u00f6zellikleri hakk\u0131nda bilgi toplayarak, UI&#8217;daki de\u011fi\u015fiklikleri &#8220;anlayabilir&#8221; ve bir elementin yerinin veya g\u00f6r\u00fcn\u00fcm\u00fcn\u00fcn de\u011fi\u015fip de\u011fi\u015fmedi\u011fini tespit edebilir.<\/p>\n<h4>Se\u00e7ici Kaymas\u0131n\u0131 Tespit Etmede Yapay Zeka Nas\u0131l Kullan\u0131l\u0131r?<\/h4>\n<p>YZ, se\u00e7ici kaymas\u0131n\u0131 tespit etmek i\u00e7in \u00e7e\u015fitli y\u00f6ntemler kullanabilir:<\/p>\n<ul>\n<li><strong>G\u00f6rsel Analiz:<\/strong> Elementlerin ekran g\u00f6r\u00fcnt\u00fclerindeki konumunu, boyutunu ve g\u00f6r\u00fcn\u00fcm\u00fcn\u00fc kar\u015f\u0131la\u015ft\u0131rma.<\/li>\n<li><strong>DOM Yap\u0131s\u0131 Analizi:<\/strong> Elementin \u00e7evresindeki HTML yap\u0131s\u0131n\u0131 ve \u00f6zelliklerini (id, class, textContent, aria-label vb.) izleme.<\/li>\n<li><strong>Davran\u0131\u015fsal Analiz:<\/strong> Elementin kullan\u0131c\u0131 etkile\u015fimlerine nas\u0131l yan\u0131t verdi\u011fini \u00f6\u011frenme.<\/li>\n<\/ul>\n<p>Bu veriler bir araya getirilerek, bir elementin g\u00f6rsel olarak ayn\u0131 kal\u0131p kalmad\u0131\u011f\u0131 veya sadece se\u00e7icisinin de\u011fi\u015fip de\u011fi\u015fmedi\u011fi belirlenebilir.<\/p>\n<h4>Model E\u011fitimi ve Veri Toplama<\/h4>\n<p>Bir YZ modelini se\u00e7ici kaymas\u0131 tespiti i\u00e7in e\u011fitmek, ge\u00e7mi\u015f test \u00e7al\u0131\u015ft\u0131rmalar\u0131ndan ve UI de\u011fi\u015fikliklerinden veri toplamay\u0131 gerektirir. Model, ba\u015far\u0131l\u0131 ve ba\u015far\u0131s\u0131z olan testler aras\u0131ndaki farklar\u0131, de\u011fi\u015fen DOM yap\u0131lar\u0131n\u0131 ve yeni se\u00e7icileri \u00f6\u011frenir. Bu s\u00fcre\u00e7, uygulaman\u0131n farkl\u0131 s\u00fcr\u00fcmleri aras\u0131ndaki UI farkl\u0131l\u0131klar\u0131n\u0131 otomatik olarak yakalayan bir &#8220;referans&#8221; mekanizmas\u0131 olu\u015fturmay\u0131 i\u00e7erir.<\/p>\n<h3>Cypress Entegrasyonu: Mevcut Ak\u0131\u015fa AI Ekleme<\/h3>\n<p>Yapay zeka yeteneklerini mevcut Cypress test s\u00fcre\u00e7lerine entegre etmek, geli\u015ftiricilerin al\u0131\u015f\u0131k oldu\u011fu i\u015f ak\u0131\u015flar\u0131n\u0131 bozmadan fayda sa\u011flamak i\u00e7in kritik \u00f6neme sahiptir. Bu entegrasyon, Cypress&#8217;in esnek mimarisi sayesinde \u00f6zel komutlar ve eklentiler arac\u0131l\u0131\u011f\u0131yla kolayca ger\u00e7ekle\u015ftirilebilir.<\/p>\n<h4>Cypress Testlerini Geni\u015fletme<\/h4>\n<p>Cypress, \u00f6zel komutlar (custom commands) ve eklentiler (plugins) arac\u0131l\u0131\u011f\u0131yla geni\u015fletilebilir bir yap\u0131ya sahiptir. Bu \u00f6zellikler, YZ destekli alg\u0131lama ve \u00f6neri mekanizmalar\u0131n\u0131 testlerinizin i\u00e7ine do\u011fal bir \u015fekilde yerle\u015ftirmenizi sa\u011flar. \u00d6rne\u011fin, bir elementin se\u00e7icisini kullanarak etkile\u015fime ge\u00e7meden \u00f6nce, YZ mod\u00fcl\u00fcne dan\u0131\u015fan bir \u00f6zel komut olu\u015fturulabilir.<\/p>\n<pre><code class=\"language-javascript\">\/\/ cypress\/support\/commands.js\nCypress.Commands.add('aiFind', (originalSelector, options = {}) => {\n  return cy.get(originalSelector, { failOnStatusCode: false }).then($el => {\n    if ($el.length) {\n      \/\/ Element bulundu, normal devam et\n      return cy.wrap($el);\n    } else {\n      \/\/ Element bulunamad\u0131, AI'dan yard\u0131m iste\n      cy.log(<code>Element not found with selector: ${originalSelector}. Consulting AI...<\/code>);\n      return cy.task('detectAndSuggestSelector', { originalSelector, url: cy.url() }).then(aiResult => {\n        if (aiResult && aiResult.newSelector) {\n          cy.log(<code>AI suggested new selector: ${aiResult.newSelector}<\/code>);\n          \/\/ Yeni se\u00e7ici ile tekrar dene\n          return cy.get(aiResult.newSelector, options);\n        } else {\n          \/\/ AI da bulamad\u0131 veya \u00f6neri yok, testi ba\u015far\u0131s\u0131z yap\n          throw new Error(<code>AI could not find or suggest a new selector for ${originalSelector}<\/code>);\n        }\n      });\n    }\n  });\n});\n<\/pre>\n<p><\/code><\/p>\n<p>Yukar\u0131daki \u00f6rnek, bir elementin orijinal se\u00e7ici ile bulunamad\u0131\u011f\u0131 durumda YZ mod\u00fcl\u00fcne dan\u0131\u015fan basit bir \u00f6zel komutu g\u00f6stermektedir. Bu komut, bir Cypress g\u00f6revi (task) arac\u0131l\u0131\u011f\u0131yla Node.js ortam\u0131nda \u00e7al\u0131\u015fan YZ servisinizle ileti\u015fim kurabilir.<\/p>\n<h4>\u00d6zel Komutlar ve Yard\u0131mc\u0131 Fonksiyonlar Olu\u015fturma<\/h4>\n<p>YZ entegrasyonu i\u00e7in \u00f6zel komutlar ve yard\u0131mc\u0131 fonksiyonlar, test kodunuzun daha temiz ve okunabilir olmas\u0131n\u0131 sa\u011flar. \u00d6rne\u011fin, bir elementin \"sa\u011flaml\u0131\u011f\u0131n\u0131\" kontrol eden veya alternatif se\u00e7iciler \u00f6neren fonksiyonlar geli\u015ftirilebilir. Bu, test yazarlar\u0131n\u0131n YZ'nin karma\u015f\u0131kl\u0131\u011f\u0131na girmeden onun yeteneklerinden faydalanmas\u0131na olanak tan\u0131r.<\/p>\n<h4>CI\/CD Ortam\u0131nda \u00c7al\u0131\u015ft\u0131rma<\/h4>\n<p>Yapay zeka destekli Cypress testlerinin ger\u00e7ek de\u011feri, CI\/CD boru hatt\u0131na entegre edildi\u011finde ortaya \u00e7\u0131kar. Her kod de\u011fi\u015fikli\u011finde testler otomatik olarak \u00e7al\u0131\u015ft\u0131r\u0131l\u0131r ve e\u011fer bir se\u00e7ici kaymas\u0131 tespit edilirse, YZ otomatik olarak alternatif se\u00e7iciler \u00f6nerir veya geli\u015ftiriciye detayl\u0131 bir rapor sunar. Bu, hatalar\u0131n erken a\u015famada yakalanmas\u0131n\u0131 ve h\u0131zl\u0131 bir \u015fekilde d\u00fczeltilmesini sa\u011flar.<\/p>\n<h3>Se\u00e7ici Kaymas\u0131n\u0131 Alg\u0131lama Mekanizmalar\u0131<\/h3>\n<p>Yapay zeka, se\u00e7ici kaymas\u0131n\u0131 alg\u0131lamak i\u00e7in birden fazla katmanda analiz yapabilir. Bu katmanlar, g\u00f6rsel farkl\u0131l\u0131klardan DOM yap\u0131s\u0131ndaki de\u011fi\u015fikliklere kadar geni\u015f bir yelpazeyi kapsar.<\/p>\n<h4>G\u00f6rsel Regresyon ve DOM Farkl\u0131l\u0131klar\u0131<\/h4>\n<p>G\u00f6rsel regresyon testleri, UI'daki beklenmedik g\u00f6rsel de\u011fi\u015fiklikleri tespit etmek i\u00e7in kullan\u0131l\u0131r. YZ, bir elementin \u00f6nceki ve mevcut ekran g\u00f6r\u00fcnt\u00fclerini kar\u015f\u0131la\u015ft\u0131rarak, boyut, konum veya renk gibi g\u00f6rsel \u00f6zelliklerindeki kaymalar\u0131 alg\u0131layabilir. Ayr\u0131ca, DOM a\u011fac\u0131ndaki elementlerin \u00f6zniteliklerini (id, class, data-test-id vb.) ve hiyerar\u015fisini analiz ederek, yap\u0131sal de\u011fi\u015fiklikleri tespit edebilir.<\/p>\n<pre><code class=\"language-json\">\/\/ AI taraf\u0131ndan tespit edilen DOM fark\u0131 \u00f6rne\u011fi\n{\n  \"originalSelector\": \".my-button\",\n  \"status\": \"drift_detected\",\n  \"changes\": [\n    {\n      \"type\": \"attribute_change\",\n      \"element\": \"<button>\",\n      \"attribute\": \"class\",\n      \"oldValue\": \"my-button\",\n      \"newValue\": \"new-button-style\"\n    },\n    {\n      \"type\": \"parent_change\",\n      \"element\": \"<button>\",\n      \"oldParent\": \"<div id='container'>\",\n      \"newParent\": \"<section id='main-area'>\"\n    }\n  ],\n  \"suggestedSelectors\": [\n    { \"selector\": \".new-button-style\", \"confidence\": 0.95 },\n    { \"selector\": \"[data-cy='submit-button']\", \"confidence\": 0.88 }\n  ]\n}\n<\/pre>\n<p><\/code><\/p>\n<h4>Element \u00d6zellikleri ve Konumsal Analiz<\/h4>\n<p>Bir elementin benzersizli\u011fini sa\u011flayan sadece se\u00e7icisi de\u011fildir. Ayn\u0131 zamanda metin i\u00e7eri\u011fi, eri\u015filebilirlik etiketleri (aria-label), boyutu ve ekran \u00fczerindeki konumu da \u00f6nemlidir. YZ, bu \u00f6zellikleri birle\u015ftirerek bir elementin \"parmak izini\" olu\u015fturabilir. Bir se\u00e7ici ba\u015far\u0131s\u0131z oldu\u011funda, YZ bu parmak izini kullanarak en benzer elementi bulmaya \u00e7al\u0131\u015f\u0131r. \u00d6rne\u011fin, ayn\u0131 metne sahip, benzer boyutta ve yak\u0131n konumda olan yeni bir element, orijinal elementin yerine ge\u00e7mi\u015f olabilir.<\/p>\n<h4>Tahmine Dayal\u0131 Modellerle Anomali Tespiti<\/h4>\n<p>Makine \u00f6\u011frenimi modelleri, ge\u00e7mi\u015f test verilerinden \u00f6\u011frenerek bir elementin normal davran\u0131\u015f\u0131n\u0131 ve \u00f6zelliklerini tahmin edebilir. Bir test \u00e7al\u0131\u015ft\u0131rmas\u0131 s\u0131ras\u0131nda bu tahminlerden \u00f6nemli sapmalar tespit edildi\u011finde, YZ bir anomali (se\u00e7ici kaymas\u0131) oldu\u011funu i\u015faret edebilir. Bu, testlerin k\u0131r\u0131lmadan \u00f6nce bile potansiyel sorunlar\u0131 proaktif olarak belirlemeye yard\u0131mc\u0131 olabilir.<\/p>\n<h3>Otomatik \u00c7\u00f6z\u00fcm \u00d6nerileri ve D\u00fczeltmeler<\/h3>\n<p>Se\u00e7ici kaymas\u0131n\u0131 tespit etmek \u00f6nemli bir ad\u0131md\u0131r, ancak ger\u00e7ek de\u011fer, YZ'nin otomatik olarak \u00e7\u00f6z\u00fcm \u00f6nerileri sunabilmesidir. Bu, geli\u015ftiricilerin sorunlar\u0131 daha h\u0131zl\u0131 \u00e7\u00f6zmesine ve test bak\u0131m y\u00fck\u00fcn\u00fc azaltmas\u0131na yard\u0131mc\u0131 olur.<\/p>\n<h4>Alternatif Se\u00e7ici \u00d6nerileri \u00dcretme<\/h4>\n<p>YZ, bir elementin yeni konumunu veya \u00f6zelliklerini analiz ettikten sonra, bu elementi hedefleyebilecek alternatif CSS se\u00e7icileri veya XPath'ler \u00fcretebilir. Bu \u00f6neriler, elementin benzersiz kimlikleri (id), veri \u00f6znitelikleri (data-cy, data-test-id), metin i\u00e7eri\u011fi veya hiyerar\u015fik konumu gibi \u00e7e\u015fitli fakt\u00f6rlere dayanabilir. YZ, bu \u00f6nerileri bir g\u00fcven skoru ile birlikte sunarak geli\u015ftiricinin en uygun olan\u0131 se\u00e7mesine yard\u0131mc\u0131 olabilir.<\/p>\n<pre><code class=\"language-javascript\">\/\/ AI taraf\u0131ndan \u00f6nerilen se\u00e7icinin Cypress testine entegrasyonu\n\/\/ \u00d6nceki: cy.get('.old-button-class').click();\n\/\/ AI \u00f6nerisi sonras\u0131:\ncy.get('.new-button-class').click(); \/\/ Veya\n\/\/ cy.get('[data-cy=\"submit-button\"]').click();\n<\/pre>\n<p><\/code><\/p>\n<h4>Kullan\u0131c\u0131 Aray\u00fcz\u00fc De\u011fi\u015fikliklerini Anlama<\/h4>\n<p>Yapay zeka sadece se\u00e7ici de\u011fi\u015ftirmekle kalmaz, ayn\u0131 zamanda UI'daki daha geni\u015f de\u011fi\u015fiklikleri de anlamaya \u00e7al\u0131\u015fabilir. \u00d6rne\u011fin, bir formun tamamen yeniden tasarland\u0131\u011f\u0131n\u0131 veya bir navigasyon men\u00fcs\u00fcn\u00fcn yerinin de\u011fi\u015fti\u011fini alg\u0131layabilir. Bu t\u00fcr bilgiler, test senaryolar\u0131n\u0131n tamamen yeniden yaz\u0131lmas\u0131 gerekip gerekmedi\u011fi konusunda geli\u015ftiricilere de\u011ferli i\u00e7g\u00f6r\u00fcler sunar.<\/p>\n<h4>Geli\u015ftiriciye Geri Bildirim Mekanizmalar\u0131<\/h4>\n<p>YZ taraf\u0131ndan tespit edilen se\u00e7ici kaymalar\u0131 ve \u00e7\u00f6z\u00fcm \u00f6nerileri, geli\u015ftiricilere kolayca ula\u015fabilecekleri bir formatta sunulmal\u0131d\u0131r. Bu, CI\/CD raporlar\u0131na entegrasyon, anl\u0131k mesajla\u015fma bildirimleri veya hatta do\u011frudan kod \u00f6nerileri (\u00f6rne\u011fin, pull request yorumlar\u0131) \u015feklinde olabilir. Ama\u00e7, geli\u015ftiricinin sorunu h\u0131zl\u0131ca anlamas\u0131n\u0131 ve do\u011fru \u00e7\u00f6z\u00fcm\u00fc uygulamak i\u00e7in gerekli bilgilere sahip olmas\u0131n\u0131 sa\u011flamakt\u0131r.<\/p>\n<h3>Uygulama Ad\u0131mlar\u0131 ve Mimari \u00d6nerisi<\/h3>\n<p>Yapay zeka destekli Cypress CI sistemini kurmak, dikkatli bir planlama ve entegrasyon gerektirir. \u0130\u015fte temel ad\u0131mlar ve mimari bir \u00f6neri:<\/p>\n<h4>Gerekli Ara\u00e7lar ve K\u00fct\u00fcphaneler<\/h4>\n<ul>\n<li><strong>Cypress:<\/strong> U\u00e7tan uca test \u00e7er\u00e7evesi.<\/li>\n<li><strong>Node.js:<\/strong> Cypress ve YZ servisinin \u00e7al\u0131\u015faca\u011f\u0131 ortam.<\/li>\n<li><strong>Makine \u00d6\u011frenimi K\u00fct\u00fcphanesi:<\/strong> TensorFlow.js, PyTorch (Python tabanl\u0131 bir servis arac\u0131l\u0131\u011f\u0131yla) veya benzeri bir k\u00fct\u00fcphane.<\/li>\n<li><strong>G\u00f6rsel Regresyon Arac\u0131:<\/strong> Percy, Applitools veya kendi geli\u015ftirece\u011finiz bir g\u00f6rsel kar\u015f\u0131la\u015ft\u0131rma mod\u00fcl\u00fc.<\/li>\n<li><strong>Veritaban\u0131:<\/strong> Ge\u00e7mi\u015f DOM yap\u0131lar\u0131n\u0131, ekran g\u00f6r\u00fcnt\u00fclerini ve test sonu\u00e7lar\u0131n\u0131 depolamak i\u00e7in (\u00f6rn. MongoDB, PostgreSQL).<\/li>\n<li><strong>CI\/CD Platformu:<\/strong> Jenkins, GitLab CI, GitHub Actions vb.<\/li>\n<\/ul>\n<h4>Mimari Tasar\u0131m: AI Mod\u00fcl\u00fc ve Cypress \u0130leti\u015fimi<\/h4>\n<p>\u00d6nerilen mimari, Cypress testlerinin bir YZ servisiyle etkile\u015fime girmesini i\u00e7erir:<\/p>\n<ol>\n<li><strong>Cypress Testleri:<\/strong> Normal test senaryolar\u0131n\u0131 \u00e7al\u0131\u015ft\u0131r\u0131r. Bir element bulunamad\u0131\u011f\u0131nda veya YZ'ye dan\u0131\u015f\u0131lmas\u0131 gerekti\u011finde \u00f6zel bir komut (\u00f6rn. <code>cy.aiFind()<\/code>) \u00e7a\u011f\u0131r\u0131r.<\/li>\n<li><strong>Cypress Task\/Plugin:<\/strong> Cypress, Node.js ortam\u0131nda \u00e7al\u0131\u015fan g\u00f6revler (tasks) arac\u0131l\u0131\u011f\u0131yla d\u0131\u015f servislerle ileti\u015fim kurabilir. Bu katman, YZ servisine istekleri iletir.<\/li>\n<li><strong>AI Servisi (Node.js\/Python):<\/strong>\n<ul>\n<li><strong>DOM Analyzer:<\/strong> Ge\u00e7mi\u015f DOM yap\u0131lar\u0131n\u0131 ve mevcut DOM'u kar\u015f\u0131la\u015ft\u0131r\u0131r.<\/li>\n<li><strong>Visual Analyzer:<\/strong> Elementlerin ekran g\u00f6r\u00fcnt\u00fclerini analiz eder.<\/li>\n<li><strong>Selector Recommender:<\/strong> Makine \u00f6\u011frenimi modelini kullanarak alternatif se\u00e7iciler \u00fcretir.<\/li>\n<li><strong>Database:<\/strong> Referans DOM yap\u0131lar\u0131n\u0131, ekran g\u00f6r\u00fcnt\u00fclerini ve \u00f6\u011frenilmi\u015f modelleri saklar.<\/li>\n<\/ul>\n<\/li>\n<li><strong>CI\/CD Boru Hatt\u0131:<\/strong> Her kod de\u011fi\u015fikli\u011finde testleri tetikler, YZ servisinden gelen raporlar\u0131 i\u015fler ve geli\u015ftiricilere geri bildirim sa\u011flar.<\/li>\n<\/ol>\n<h4>Bir \u00d6rnek Ak\u0131\u015f: Kayma Tespiti ve \u00c7\u00f6z\u00fcm<\/h4>\n<ol>\n<li>Geli\u015ftirici yeni bir \u00f6zellik geli\u015ftirir ve kodunu birle\u015ftirir.<\/li>\n<li>CI\/CD boru hatt\u0131 tetiklenir ve Cypress testlerini \u00e7al\u0131\u015ft\u0131r\u0131r.<\/li>\n<li>Bir Cypress testi, <code>cy.get('.old-button')<\/code> komutuyla bir d\u00fc\u011fmeyi bulmaya \u00e7al\u0131\u015f\u0131r ancak ba\u015far\u0131s\u0131z olur.<\/li>\n<li>Cypress, bu durumu <code>cy.aiFind('.old-button')<\/code> \u00f6zel komutu arac\u0131l\u0131\u011f\u0131yla YZ servisine iletir.<\/li>\n<li>YZ servisi, mevcut sayfan\u0131n DOM'unu ve elementin \u00f6nceki bilinen durumunu analiz eder.<\/li>\n<li>YZ, d\u00fc\u011fmenin s\u0131n\u0131f\u0131n\u0131n <code>.new-button<\/code> olarak de\u011fi\u015fti\u011fini ve konumunun da hafif\u00e7e kayd\u0131\u011f\u0131n\u0131 tespit eder.<\/li>\n<li>YZ, <code>.new-button<\/code> se\u00e7icisini ve <code>[data-cy=\"submit-button\"]<\/code> gibi alternatif bir se\u00e7iciyi \u00f6nerir.<\/li>\n<li>YZ servisi bu \u00f6neriyi Cypress'e geri g\u00f6nderir.<\/li>\n<li>Cypress, testini <code>.new-button<\/code> se\u00e7icisiyle tekrar dener ve ba\u015far\u0131l\u0131 olur.<\/li>\n<li>CI\/CD raporunda, orijinal se\u00e7icinin de\u011fi\u015fti\u011fi ve YZ taraf\u0131ndan otomatik olarak d\u00fczeltildi\u011fi belirtilir, b\u00f6ylece geli\u015ftirici bilgilendirilir.<\/li>\n<\/ol>\n<h3>Avantajlar, Zorluklar ve Gelecek<\/h3>\n<p>Yapay zeka destekli test otomasyonu, \u00f6nemli avantajlar sunarken, beraberinde baz\u0131 zorluklar\u0131 da getirmektedir.<\/p>\n<h4>Yapay Zeka Destekli Yakla\u015f\u0131m\u0131n Faydalar\u0131<\/h4>\n<ul>\n<li><strong>Azalan Bak\u0131m Y\u00fck\u00fc:<\/strong> Se\u00e7ici kaymalar\u0131n\u0131n manuel d\u00fczeltilmesi i\u00e7in harcanan zaman\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde azalt\u0131r.<\/li>\n<li><strong>Daha H\u0131zl\u0131 Geli\u015ftirme D\u00f6ng\u00fcs\u00fc:<\/strong> Testlerin daha stabil olmas\u0131, geli\u015ftiricilerin h\u0131zl\u0131 iterasyon yapmas\u0131na olanak tan\u0131r.<\/li>\n<li><strong>Y\u00fcksek Test G\u00fcvenilirli\u011fi:<\/strong> UI de\u011fi\u015fikliklerine kar\u015f\u0131 daha diren\u00e7li testler sa\u011flar.<\/li>\n<li><strong>Proaktif Hata Tespiti:<\/strong> Potansiyel sorunlar\u0131 testler k\u0131r\u0131lmadan \u00f6nce bile tespit edebilir.<\/li>\n<li><strong>Geli\u015ftirici Verimlili\u011fi:<\/strong> Geli\u015ftiricilerin daha de\u011ferli i\u015flere odaklanmas\u0131n\u0131 sa\u011flar.<\/li>\n<\/ul>\n<h4>Potansiyel Zorluklar ve Dikkat Edilmesi Gerekenler<\/h4>\n<ul>\n<li><strong>\u0130lk Kurulum Karma\u015f\u0131kl\u0131\u011f\u0131:<\/strong> YZ modelinin e\u011fitimi ve entegrasyonu ba\u015flang\u0131\u00e7ta zaman ve uzmanl\u0131k gerektirebilir.<\/li>\n<li><strong>Model Do\u011frulu\u011fu:<\/strong> YZ modelinin her zaman do\u011fru \u00f6neriler sunmas\u0131 garanti de\u011fildir; yanl\u0131\u015f pozitifler veya negatifler olabilir.<\/li>\n<li><strong>Performans Maliyeti:<\/strong> YZ analizleri, test \u00e7al\u0131\u015ft\u0131rma s\u00fcrelerini bir miktar art\u0131rabilir.<\/li>\n<li><strong>Veri Gizlili\u011fi:<\/strong> Hassas UI verilerinin YZ modeli taraf\u0131ndan i\u015flenmesi durumunda gizlilik endi\u015feleri ortaya \u00e7\u0131kabilir.<\/li>\n<li><strong>S\u00fcrekli E\u011fitim:<\/strong> Uygulama geli\u015ftik\u00e7e YZ modelinin de s\u00fcrekli olarak yeniden e\u011fitilmesi gerekebilir.<\/li>\n<\/ul>\n<h4>Gelecekteki Geli\u015fmeler ve Potansiyel<\/h4>\n<p>Yapay zeka destekli test otomasyonu alan\u0131 h\u0131zla geli\u015fmektedir. Gelecekte, YZ'nin sadece se\u00e7ici kaymalar\u0131n\u0131 d\u00fczeltmekle kalmay\u0131p, ayn\u0131 zamanda yeni test senaryolar\u0131 \u00f6nermesi, test verilerini otomatik olarak olu\u015fturmas\u0131 ve hatta test kodunu tamamen otomatik olarak yazmas\u0131 gibi yetenekler g\u00f6rmemiz olas\u0131d\u0131r. Bu, yaz\u0131l\u0131m geli\u015ftirme s\u00fcrecini k\u00f6kten de\u011fi\u015ftirecek bir potansiyele sahiptir.<\/p>\n<h3>Sonu\u00e7<\/h3>\n<p>Yapay zeka destekli Cypress CI, u\u00e7tan uca testlerdeki se\u00e7ici kaymas\u0131 sorununa yenilik\u00e7i ve g\u00fc\u00e7l\u00fc bir \u00e7\u00f6z\u00fcm sunmaktad\u0131r. Geleneksel manuel yakla\u015f\u0131mlar\u0131n s\u0131n\u0131rl\u0131l\u0131klar\u0131n\u0131 a\u015farak, test bak\u0131m y\u00fck\u00fcn\u00fc azalt\u0131r, test g\u00fcvenilirli\u011fini art\u0131r\u0131r ve geli\u015ftirme s\u00fcre\u00e7lerini h\u0131zland\u0131r\u0131r. Ba\u015flang\u0131\u00e7taki entegrasyon zorluklar\u0131na ra\u011fmen, uzun vadede sa\u011flad\u0131\u011f\u0131 faydalar, bu teknolojinin benimsenmesini cazip k\u0131lmaktad\u0131r. Gelecekte YZ'nin test otomasyonundaki rol\u00fc daha da b\u00fcy\u00fcyecek ve yaz\u0131l\u0131m kalitesini g\u00fcvence alt\u0131na almada vazge\u00e7ilmez bir ara\u00e7 haline gelecektir.<\/p>\n<h3>SSS (S\u0131k Sorulan Sorular)<\/h3>\n<dl>\n<dt>Se\u00e7ici kaymas\u0131 (selector drift) tam olarak nedir?<\/dt>\n<dd>Se\u00e7ici kaymas\u0131, web uygulamas\u0131n\u0131n kullan\u0131c\u0131 aray\u00fcz\u00fcnde yap\u0131lan de\u011fi\u015fiklikler (\u00f6rne\u011fin, bir elementin ID'sinin veya s\u0131n\u0131f\u0131n\u0131n de\u011fi\u015fmesi) nedeniyle, otomasyon testlerinde kullan\u0131lan DOM se\u00e7icilerinin art\u0131k hedeflenen elementi bulamamas\u0131 durumudur. Bu, testlerin ba\u015far\u0131s\u0131z olmas\u0131na neden olur.<\/dd>\n<dt>Yapay zeka, se\u00e7ici kaymas\u0131n\u0131 tespit etmede nas\u0131l yard\u0131mc\u0131 olur?<\/dt>\n<dd>Yapay zeka, elementlerin g\u00f6rsel \u00f6zelliklerini (konum, boyut, g\u00f6r\u00fcn\u00fcm), DOM yap\u0131lar\u0131n\u0131 (HTML hiyerar\u015fisi, \u00f6znitelikler) ve davran\u0131\u015fsal verilerini analiz ederek bir elementin \"parmak izini\" olu\u015fturur. Bir se\u00e7ici ba\u015far\u0131s\u0131z oldu\u011funda, YZ bu parmak izini kullanarak en benzer elementi bulmaya \u00e7al\u0131\u015f\u0131r ve UI'daki de\u011fi\u015fiklikleri tespit eder.<\/dd>\n<dt>YZ destekli bir sistem kurmak ne kadar zor?<\/dt>\n<dd>YZ destekli bir sistemin ilk kurulumu, makine \u00f6\u011frenimi modellerinin e\u011fitimi ve mevcut CI\/CD boru hatt\u0131na entegrasyonu nedeniyle belirli bir karma\u015f\u0131kl\u0131k i\u00e7erebilir. Ancak, a\u00e7\u0131k kaynak k\u00fct\u00fcphaneler ve mod\u00fcler mimarilerle bu s\u00fcre\u00e7 y\u00f6netilebilir hale getirilebilir. Uzmanl\u0131k ve zaman yat\u0131r\u0131m\u0131 gerektirebilir.<\/dd>\n<dt>Bu sistem insan test uzmanlar\u0131n\u0131n yerini alabilir mi?<\/dt>\n<dd>Hay\u0131r, YZ destekli sistemler insan test uzmanlar\u0131n\u0131n yerini almaktan ziyade, onlar\u0131n verimlili\u011fini art\u0131rmay\u0131 hedefler. YZ, tekrarlayan ve hataya a\u00e7\u0131k g\u00f6revleri (se\u00e7ici kaymalar\u0131n\u0131 d\u00fczeltme gibi) otomatize ederken, insan test uzmanlar\u0131 daha karma\u015f\u0131k senaryolar, ke\u015fifsel testler ve kullan\u0131c\u0131 deneyimi odakl\u0131 testler gibi daha de\u011ferli i\u015flere odaklanabilirler.<\/dd>\n<dt>Hangi t\u00fcr projeler i\u00e7in YZ destekli Cypress CI en uygunudur?<\/dt>\n<dd>S\u0131k UI de\u011fi\u015fiklikleri ya\u015fayan, b\u00fcy\u00fck \u00f6l\u00e7ekli ve h\u0131zl\u0131 iterasyonlarla \u00e7al\u0131\u015fan web uygulamalar\u0131 i\u00e7in en uygundur. \u00d6zellikle CI\/CD s\u00fcre\u00e7lerinin kritik oldu\u011fu ve test bak\u0131m maliyetlerinin y\u00fcksek oldu\u011fu projelerde b\u00fcy\u00fck fayda sa\u011flar.<\/dd>\n<\/dl>\n","protected":false},"excerpt":{"rendered":"Modern web uygulamalar\u0131 h\u0131zla geli\u015firken, kullan\u0131c\u0131 deneyimini do\u011frudan etkileyen u\u00e7tan uca testlerin \u00f6nemi de artmaktad\u0131r.","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"csco_page_header_type":"","csco_page_load_nextpost":"","csco_page_subscribe_form":"","csco_page_contact_form":"","footnotes":""},"categories":[1],"tags":[],"class_list":{"0":"post-41243","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-genel","7":"cs-entry","8":"cs-video-wrap"},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v20.5 (Yoast SEO v25.3.1) - 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