Cross Project Software Defect Prediction Using Machine Learning: A Review

MS Saeed, M Saleem - … Journal of Computational and Innovative Sciences, 2023 - ijcis.com
Software defect prediction is a crucial area of study focused on enhancing software quality
and cutting down on software upkeep expenses. Cross Project Defect Prediction (CPDP) is …

Comprehensive Survey of different Machine Learning Algorithms used for Software Defect Prediction

V Gururaj, KR Umadi, M Kumar… - … on Decision Aid …, 2022 - ieeexplore.ieee.org
The software development life cycle is a long and complicated process. It consists of
analysis, design, development, testing and deployment. Defect prediction is the technique of …

Correlation-based modified long short-term memory network approach for software defect prediction

SK Pemmada, HS Behera, J Nayak, B Naik - Evolving Systems, 2022 - Springer
Developing software applications has become more perplexing nowadays due to the huge
usage of software applications. Under such circumstances, developing software without …

[HTML][HTML] Enhancing software defect prediction: a framework with improved feature selection and ensemble machine learning

M Ali, T Mazhar, A Al-Rasheed, T Shahzad… - PeerJ Computer …, 2024 - peerj.com
Effective software defect prediction is a crucial aspect of software quality assurance,
enabling the identification of defective modules before the testing phase. This study aims to …

Software Defect Prediction Using an Intelligent Ensemble-Based Model

M Ali, T Mazhar, Y Arif, S Al-Otaibi, YY Ghadi… - IEEE …, 2024 - ieeexplore.ieee.org
Software defect prediction plays a crucial role in enhancing software quality while achieving
cost savings in testing. Its primary objective is to identify and send only defective modules to …

A comprehensible analysis of the efficacy of Ensemble Models for Bug Prediction

I Marçal, RE Garcia - arXiv preprint arXiv:2310.12133, 2023 - arxiv.org
The correctness of software systems is vital for their effective operation. It makes discovering
and fixing software bugs an important development task. The increasing use of Artificial …

Bug Prediction Models: seeking the most efficient

I Marçal, RE Garcia - 2024 - researchsquare.com
Choosing the most appropriate machine learning model for bug prediction tasks is critical.
This paper primarily compares the predictive power of individual models versus ensemble …

Teste de software com IA: um mapeamento sistemático da literatura

JC DIAS - 2023 - repositorio.ufpe.br
As técnicas de teste de software são essenciais para detectar falhas e mitigar os riscos
associados ao desenvolvimento de software. Esse processo fica ainda mais eficiente com o …

[PDF][PDF] Teste de Software com IA: Um Mapeamento Sistemático da Literatura

J da Costa Dias - 2023 - cin.ufpe.br
As técnicas de teste de software são essenciais para detectar falhas e mitigar os riscos
associados ao desenvolvimento de software. Esse processo fica ainda mais eficiente com o …

Yazılım Hata Tahmininde Farklı Alt Örnekleme ve Üst Örnekleme Yöntemlerinin Kıyaslanması

Ö Şen, SB Keser - Türkiye Bilişim Vakfı Bilgisayar Bilimleri ve … - dergipark.org.tr
Bilgisayarları ve makineleri çalıştırmak üzere belirli fonksiyonların işletilebilmesi için
kullanılan komutlar bütünü yazılım olarak adlandırılmaktadır. Günümüzde birçok alanda …