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Toplam kayıt 8, listelenen: 1-8
GraphQL Sorgu Oluşturma Sürecinde Kullanılan Araç ve Yöntemlerin Analizi ve İyileştirilmesi
(Marmara University Journal of Science, 2021)
Günümüzde yaşanan teknolojik gelişmeler, İnternete bağlanan toplam cihaz tür ve sayısında büyük bir artışa yol açmıştır. Sunucu makineler daha fazla istek almaya başlamış hem ağ trafiği hem de sunucu yanıt süresi olumsuz ...
Software Project Failure Process Definition
(Institute of Electrical and Electronics Engineers Inc., 2022)
Many researchers have attempted to identify the factors behind software project failures and
their solutions from various perspectives. However, systematic and integrated process definitions of failure
as process models ...
Evrişimsel Sinir Ağları ile Cilt Hastalıklarının Tanısında Transfer Öğrenme Yönteminin Uygulanması
(IEEE, 2022)
Dünya genelinde her yıl milyonlarca kişiye cilt kanseri tanısı konulmakta ve çok sayıda insan bu hastalıktan dolayı hayatını kaybetmektedir.Cilt hastalıklarında erken tanı önemlidir.Bu nedenle, Cilt hastalıklarının bilgisayar ...
A Testing Method for Detecting Data Inconsistencies in Model View Controller Architecture
(IEEE, 2022)
Testing user acceptance is a complex and laborintensive task in software applications. Many methods and tools
have been proposed to detect user interface layer errors and
ensure user satisfaction. In addition, the layered ...
Performance Improvement of Genetic Algorithm Based Exam Seating Solution by Parameter Optimization
(Bursa Teknik Üniversitesi, 2022)
Exam seat allocation has become a complex problem, with an increasing number
of students, subjects, exams, departments, and rooms in higher education
institutions. The requirements and constraints of this problem ...
A Unified Framework for Multi-Language Sentiment Analysis
(IEEE, 2023)
The unified framework for multi-language
sentiment analysis is a vital aspect of understanding customer
opinions, emotions, and feedback. This paper presents a unified
framework to increase the performance of the ...
Deep Learning With Class-Level Abstract Syntax Tree and Code Histories for Detecting Code Modification Requirements
(Elsevier, 2023)
Improving code quality is one of the most significant issues in the software industry. Deep learning
is an emerging area of research for detecting code smells and addressing refactoring requirements.
The aim of this study ...
Detecting Code Smell with a Deep Learning System
(IEEE, 2023)
Code smell detection is one of the most significant
issues in the software industry. Metric-based static code analysis
tools are used to detect undesirable coding practices known as
code smells and guide refactoring ...