KATTA TIL MODELLARI YORDAMIDA DASTURIY TEST SSENARIYLARINI GENERATSIYALASHDA GALLYUTSINATSIYALAR MUAMMOSI VA ULARNI KAMAYTIRISH YONDASHUVLARI
DOI:
https://doi.org/10.5281/zenodo.22701632Abstract
Maqolada katta til modellari yordamida dasturiy test ssenariylarini generatsiyalashda yuzaga keladigan
gallyutsinatsiyalar muammosi va ularni kamaytirishga qaratilgan yondashuvlar tahlil qilingan. Tadqiqotda tizimli tahlil, qiyosiy
tahlil, tasniflash va umumlashtirish usullaridan foydalanilgan. Ilmiy manbalarni o‘rganish asosida generatsiyalangan
testlarning sifati faqat dastur kodi qamrovi yoki bajariluvchanlik bilan emas, balki dastlabki dasturiy talabga mazmuniy
sodiqligi bilan ham baholanishi zarurligi asoslangan. Test ssenariylarida yuzaga keladigan gallyutsinatsiyalar funksional,
shartga oid, parametrga oid, harakatga oid va kutilayotgan natijaga oid turlarga ajratilgan. Shuningdek, gallyutsinatsiyalarni
kamaytirish yondashuvlari generatsiyadan oldingi nazorat, generatsiya jarayonidagi cheklash va generatsiyadan
keyingi tekshirish bosqichlari bo‘yicha tizimlashtirilgan. Olingan tahliliy natijalar katta til modellari asosida yaratilgan test
ssenariylarining ishonchliligini ta’minlashda dastlabki talabga sodiqlik va generatsiya natijasini nazorat qilish muhimligini
ko‘rsatadi.
Keywords
katta til modeli, dasturiy ta’minotni testlash, test ssenariysi, gallyutsinatsiya, testlarni avtomatik generatsiyalash, dasturiy talab, mazmuniy muvofiqlik, generativ sun’iy intellektReferences
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