شماره ركورد كنفرانس :
5402
عنوان مقاله :
Software Requirement Methods using Machine Learning
عنوان به زبان ديگر :
Software Requirement Methods using Machine Learning
پديدآورندگان :
Davoodzadeh Forooz foroozd@gmail.com Karaj Branch, Islamic Azad University , Amini Amineh aamini@kiau.ac.ir Karaj Branch, Islamic Azad University , Saboohi Hadi hsaboohi@kiau.ac.ir Karaj Branch, Islamic Azad University
تعداد صفحه :
5
كليدواژه :
Software Requirement , Machine learning , Artificial Intelligence
سال انتشار :
1402
عنوان كنفرانس :
اولين كنفرانس ملي پژوهش و نوآوري در هوش مصنوعي
زبان مدرك :
انگليسي
چكيده فارسي :
Software requirements are one of the most important parts of the software life cycle. In the simplest definition, when we talk about starting to build a software, we must go to the software requirements. Otherwise, the project will face many problems and the stakeholders will not achieve their demands. Basically, the requirements of the software have emerged to fulfill the demands of the stakeholders as accurately as possible, although other conditions are also examined. In this review article, we discuss articles that have tried to provide the accurate software requirements using artificial intelligence and machine learning.
كشور :
ايران
لينک به اين مدرک :
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