{"id":211127,"date":"2025-10-02T16:46:29","date_gmt":"2025-10-02T13:46:29","guid":{"rendered":"http:\/\/testeryou.local\/?p=211127"},"modified":"2025-10-02T16:46:29","modified_gmt":"2025-10-02T13:46:29","slug":"llm-ile-yazilim-testinde-donusum","status":"publish","type":"post","link":"https:\/\/testeryou.com\/tr\/llm-ile-yazilim-testinde-donusum\/","title":{"rendered":"LLM ile Yaz\u0131l\u0131m Testinde D\u00f6n\u00fc\u015f\u00fcm: Gelece\u011fin Test S\u00fcre\u00e7lerine Yapay Zeka Dokunu\u015fu"},"content":{"rendered":"

Yaz\u0131l\u0131m test s\u00fcre\u00e7leri her ge\u00e7en y\u0131l daha da karma\u015f\u0131k hale geliyor. Mikroservis mimarileri, s\u00fcrekli entegrasyon ve da\u011f\u0131t\u0131m (CI\/CD) d\u00f6ng\u00fclerinin h\u0131zlanmas\u0131, test ekiplerinden daha esnek, daha h\u0131zl\u0131 ve daha do\u011fru \u00e7\u00f6z\u00fcmler beklenmesine neden oluyor. Geleneksel test otomasyonu ise bu dinamik ortamda her zaman yeterli olmuyor. \u0130\u015fte bu noktada B\u00fcy\u00fck Dil Modelleri (LLM \u2013 Large Language Models)<\/strong> sahneye \u00e7\u0131k\u0131yor.<\/p>\n

\n

???? Not: LLM Nedir?<\/h3>\n

LLM (Large Language Model \u2013 B\u00fcy\u00fck Dil Modeli)<\/strong>, geni\u015f \u00f6l\u00e7ekli metin verileri \u00fczerinde e\u011fitilmi\u015f yapay zek\u00e2 modelidir. Ama\u00e7, do\u011fal dili (yaz\u0131 ve konu\u015fma) anlayabilmek ve \u00fcretmektir.<\/p>\n

    \n
  • \u00d6rnekler:<\/strong> ChatGPT, Claude, Gemini, LLaMA<\/li>\n
  • Kullan\u0131m Alanlar\u0131:<\/strong> Metin yazma, \u00f6zetleme, \u00e7eviri, soru-cevap, kod \u00fcretimi<\/li>\n
  • Yaz\u0131l\u0131m Testinde Katk\u0131s\u0131:<\/strong> Test senaryosu \u00fcretimi, hata \u00f6ng\u00f6r\u00fcs\u00fc, test verisi olu\u015fturma, log \u00f6zetleme<\/li>\n<\/ul>\n<\/div>\n

    ChatGPT, Claude, Gemini gibi modellerin yaln\u0131zca yaz\u0131 yazmada de\u011fil, yaz\u0131l\u0131m testinde de ciddi bir d\u00f6n\u00fc\u015f\u00fcm yaratt\u0131\u011f\u0131n\u0131 art\u0131k net bir \u015fekilde g\u00f6r\u00fcyoruz. Peki bu d\u00f6n\u00fc\u015f\u00fcm tam olarak nas\u0131l ger\u00e7ekle\u015fiyor?<\/p>\n

    LLM\u2019lerin Yaz\u0131l\u0131m Testine Katk\u0131lar\u0131<\/h2>\n
      \n
    1. \n

      Test Senaryosu \u00dcretimi<\/strong><\/p>\n

        \n
      • \n

        Do\u011fal dilde yaz\u0131lm\u0131\u015f gereksinimleri analiz ederek otomatik test senaryolar\u0131 \u00fcretebilirler.<\/p>\n<\/li>\n

      • \n

        \u00d6rne\u011fin, \u201cKullan\u0131c\u0131 yanl\u0131\u015f \u015fifre girdi\u011finde sistem \u00fc\u00e7 kez denemeden sonra hesab\u0131 kilitlemeli\u201d ifadesi, LLM taraf\u0131ndan do\u011frudan bir test case\u2019e d\u00f6n\u00fc\u015ft\u00fcr\u00fclebilir.<\/p>\n<\/li>\n<\/ul>\n<\/li>\n

      • \n

        Kod \u0130nceleme ve Hata \u00d6ng\u00f6r\u00fcs\u00fc<\/strong><\/p>\n

          \n
        • \n

          LLM\u2019ler, kod par\u00e7alar\u0131n\u0131 analiz ederek olas\u0131 hatalara veya u\u00e7 senaryolara i\u015faret edebilir.<\/p>\n<\/li>\n

        • \n

          \u00d6zellikle g\u00fcvenlik testlerinde potansiyel a\u00e7\u0131klar\u0131n daha erken g\u00f6r\u00fclmesine destek sa\u011flar.<\/p>\n<\/li>\n<\/ul>\n<\/li>\n

        • \n

          Test Verisi \u00dcretimi<\/strong><\/p>\n

            \n
          • \n

            B\u00fcy\u00fck veri k\u00fcmeleri yerine LLM tabanl\u0131 modeller, \u00e7e\u015fitli ve ger\u00e7ek\u00e7i test verilerini an\u0131nda olu\u015fturabilir.<\/p>\n<\/li>\n

          • \n

            Ayr\u0131ca anonimle\u015ftirme sayesinde GDPR ve KVKK gibi reg\u00fclasyonlara uyumlu test verisi \u00fcretimi sa\u011flanabilir.<\/p>\n<\/li>\n<\/ul>\n<\/li>\n

          • \n

            Otomatik Raporlama<\/strong><\/p>\n

              \n
            • \n

              Hata loglar\u0131n\u0131 \u00f6zetleyip insan dilinde raporlayabilir.<\/p>\n<\/li>\n

            • \n

              Karma\u015f\u0131k log dosyalar\u0131 yerine y\u00f6netim ekipleri i\u00e7in okunabilir, net raporlar \u00fcretmek m\u00fcmk\u00fcn hale gelir.<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n

              Uygulama Senaryolar\u0131<\/h2>\n
                \n
              • \n

                Regresyon Testleri:<\/strong> \u00d6nceki test \u00e7\u0131kt\u0131lar\u0131ndan \u00f6\u011frenerek benzer senaryolar\u0131 h\u0131zla yeniden \u00e7al\u0131\u015ft\u0131r\u0131r.<\/p>\n<\/li>\n

              • \n

                Ke\u015fif Testleri (Exploratory Testing):<\/strong> Test uzmanlar\u0131na \u201cnerede sorun olabilir?\u201d sorusunun cevab\u0131n\u0131 tahmin ederek y\u00f6n g\u00f6sterir.<\/p>\n<\/li>\n

              • \n

                Karma\u015f\u0131k Sistemler:<\/strong> Farkl\u0131 mod\u00fcller aras\u0131ndaki ba\u011f\u0131 anlamland\u0131rarak daha tutarl\u0131 test \u00f6nerileri sunar.<\/p>\n<\/li>\n<\/ul>\n

                Zorluklar ve Riskler<\/h2>\n

                Elbette bu d\u00f6n\u00fc\u015f\u00fcm\u00fcn s\u0131n\u0131rs\u0131z olmad\u0131\u011f\u0131n\u0131 kabul etmek gerekir.<\/p>\n

                  \n
                • \n

                  Hal\u00fcsinasyon Riski (Yan\u0131lt\u0131c\u0131 \u00c7\u0131kt\u0131lar):<\/strong> LLM\u2019ler bazen ger\u00e7ek d\u0131\u015f\u0131 veya uydurma senaryolar \u00fcretebilir. Bu nedenle \u00e7\u0131kt\u0131lar mutlaka insan taraf\u0131ndan do\u011frulanmal\u0131d\u0131r.<\/p>\n<\/li>\n

                • \n

                  Veri Gizlili\u011fi:<\/strong> Modeli beslerken kullan\u0131lan ger\u00e7ek test verileri, KVKK ve GDPR gibi reg\u00fclasyonlar a\u00e7\u0131s\u0131ndan risk olu\u015fturabilir.<\/p>\n<\/li>\n

                • \n

                  Maliyet:<\/strong> API tabanl\u0131 modellerin s\u00fcrekli kullan\u0131m\u0131, \u00f6zellikle b\u00fcy\u00fck \u00f6l\u00e7ekli projelerde ciddi bir maliyet kalemi haline gelebilir.<\/p>\n<\/li>\n

                • \n

                  Do\u011frulama Gereksinimi:<\/strong> \u0130nsan g\u00f6zetimi olmadan LLM\u2019in tek ba\u015f\u0131na g\u00fcvenilir test sonu\u00e7lar\u0131 \u00fcretmesi m\u00fcmk\u00fcn de\u011fildir.<\/p>\n<\/li>\n<\/ul>\n

                  Gelecek Perspektifi: Otonom Test Ajanlar\u0131<\/h2>\n

                  LLM\u2019lerin bir sonraki a\u015famas\u0131, agentic AI<\/strong> ile birle\u015ferek otonom test ajanlar\u0131na d\u00f6n\u00fc\u015fmesi olacak.<\/p>\n

                    \n
                  • \n

                    Bu ajanlar testleri yaln\u0131zca \u00e7al\u0131\u015ft\u0131rmakla kalmayacak, ba\u015far\u0131s\u0131zl\u0131klar\u0131 analiz edecek ve kendi kendini onarabilen (self-healing) test otomasyon sistemlerine entegre olacak.<\/p>\n<\/li>\n

                  • \n

                    B\u00f6ylece test m\u00fchendislerinin rol\u00fc \u201ctest case yazar\u0131\u201d olmaktan \u00e7\u0131k\u0131p, \u201cyapay zek\u00e2y\u0131 y\u00f6neten ve do\u011frulayan\u201d bir profile d\u00f6n\u00fc\u015fecek.<\/p>\n<\/li>\n<\/ul>\n

                    Sonu\u00e7<\/h2>\n

                    LLM\u2019ler yaz\u0131l\u0131m testinde devrim de\u011fil ama g\u00fc\u00e7l\u00fc bir evrim<\/strong> yarat\u0131yor. Test m\u00fchendislerinin yerini almayacaklar; aksine onlar\u0131n yan\u0131nda bir ortak gibi \u00e7al\u0131\u015facaklar.<\/p>\n

                    Bug\u00fcn\u00fcn test m\u00fchendisleri i\u00e7in en kritik nokta, bu d\u00f6n\u00fc\u015f\u00fcme haz\u0131rl\u0131kl\u0131 olmak:<\/p>\n

                      \n
                    • \n

                      Prompt engineering<\/strong> becerisi kazanmak,<\/p>\n<\/li>\n

                    • \n

                      Yapay zek\u00e2 destekli test ara\u00e7lar\u0131n\u0131 denemek,<\/p>\n<\/li>\n

                    • \n

                      Veri g\u00fcvenli\u011fi ve etik fark\u0131ndal\u0131\u011f\u0131 geli\u015ftirmek.<\/p>\n<\/li>\n<\/ul>\n

                      Gelece\u011fin yaz\u0131l\u0131m test s\u00fcre\u00e7lerinde ba\u015far\u0131, yaln\u0131zca kod kalitesinde de\u011fil, yapay zek\u00e2 ile birlikte kaliteyi nas\u0131l y\u00f6netti\u011fimizde<\/strong> gizli olacak.<\/p>\n","protected":false},"excerpt":{"rendered":"

                      Yaz\u0131l\u0131m test s\u00fcre\u00e7leri her ge\u00e7en y\u0131l daha da karma\u015f\u0131k hale geliyor. Mikroservis mimarileri, s\u00fcrekli entegrasyon ve da\u011f\u0131t\u0131m (CI\/CD) d\u00f6ng\u00fclerinin h\u0131zlanmas\u0131, […]<\/p>\n","protected":false},"author":481,"featured_media":211140,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":""},"categories":[244],"tags":[392,445,446,447,483,526,527,528,529,530,531],"class_list":["post-211127","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog-tr","tag-yazilim-testi-tr","tag-yapay-zeka","tag-test-otomasyonu","tag-ci-cd-2","tag-yazilim-kalitesi","tag-llm","tag-regresyon-testi","tag-kesif-testleri","tag-agentic-ai","tag-self-healing-test","tag-quality-engineering-2"],"acf":[],"yoast_head":"\nLLM ile Yaz\u0131l\u0131m Testinde D\u00f6n\u00fc\u015f\u00fcm: Gelece\u011fin Test S\u00fcre\u00e7lerine Yapay Zeka Dokunu\u015fu<\/title>\n<meta name=\"description\" content=\"LLM\u2019ler yaz\u0131l\u0131m testinde test senaryosu \u00fcretiminden raporlamaya kadar b\u00fcy\u00fck bir d\u00f6n\u00fc\u015f\u00fcm yarat\u0131yor. Gelece\u011fin test s\u00fcre\u00e7lerinde yapay zek\u00e2n\u0131n rol\u00fcn\u00fc ke\u015ffedin.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/testeryou.com\/tr\/llm-ile-yazilim-testinde-donusum\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"LLM ile Yaz\u0131l\u0131m Testinde D\u00f6n\u00fc\u015f\u00fcm: Gelece\u011fin Test S\u00fcre\u00e7lerine Yapay Zeka Dokunu\u015fu\" \/>\n<meta property=\"og:description\" content=\"LLM\u2019ler yaz\u0131l\u0131m testinde test senaryosu \u00fcretiminden raporlamaya kadar b\u00fcy\u00fck bir d\u00f6n\u00fc\u015f\u00fcm yarat\u0131yor. 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