Penanganan Data Tidak Seimbang Menggunakan Hybrid Method Resampling Pada Algoritma Naive Bayes Untuk Software Defect Prediction

M Lutfi, AT Arsanto, MF Amrulloh… - INFORMAL: Informatics …, 2023 - jurnal.unej.ac.id
Software defect prediction is software data that is used to identify a software module and can
also be used to predict software defects. Before carrying out further trials, it is necessary to …

Software Defects Prediction Using Machine Learning Algorithms

J Kethireddy, E Aravind, MV Kamal - International Conference on …, 2022 - Springer
The most significant feature of a software is its quality. Software defect prediction has grown
significantly in popularity over the past several years and may directly impact quality …

[PDF][PDF] predictive approach to estimate software defects density using Probabilistic Neural Networks for the given Software Metrics, T

TR Kumar, TS Rao, CVMK Hari - Ravi Kumar Journal of Engineering … - academia.edu
Software plays a very important role in our everyday life. There are many instances which
show that even a small defect in the software can cause huge loss to many lives. By …

[PDF][PDF] Prediction of fault-prone software modules using statistical and machine learning methods

Y Singh, A Kaur, R Malhotra - International Journal of Computer …, 2010 - Citeseer
Demand for producing quality software has rapidly increased during the last few years. This
is leading to increase in development of machine learning methods for exploring data sets …

Software defect prediction using feature space transformation

MH Rahman, S Sharmin, SM Sarwar… - Proceedings of the …, 2016 - dl.acm.org
In software quality estimation research, software defect prediction is a key topic. A defect
prediction model is generally constructed using a variety of software attributes and each …

[PDF][PDF] A NOVEL APPROACH FOR SOFTWARE DEFECT PREDICTION BASED ON DIMENSIONALITY REDUCTION

B Salve, P Pokharkar, S Pillai, R Kapse - 2020 - researchgate.net
Software Defect Prediction is an essential aspect to ensure software quality. Deep Learning
techniques can also be used for the same. In this paper, we propose to extract a set of …

Software defect prediction: an ML approach-based comprehensive study

K Anand, AK Jena - … , Software and Networks: Proceedings of INDIA 2022, 2022 - Springer
Software testing is a vital phase in the software development life cycle. Testing validates a
developed software against the input test cases by identifying the defects present in the …

Software defect prediction: A comparison between artificial neural network and support vector machine

I Arora, A Saha - … and Communication Technologies: Proceedings of the …, 2018 - Springer
Software industry has stipulated the need for good quality software projects to be delivered
on time and within budget. Software defect prediction (SDP) has led to the application of …

Prediction of defects in software using machine learning classifiers

A Arya, S Kumar, V Singh - … and Data Engineering: Proceedings of ICMDE …, 2020 - Springer
Abstract The Software Defect Prediction (SDP) model engages in predicting defects and
bugs in the software. This model will detect and predict bugs during early stages of the …

Penerapan seleksi fitur untuk prediksi cacat perangkat lunak menggunakan algoritma optimasi multi tujuan nsga ii

R Rizqia - repository.uinjkt.ac.id
Dalam sub domain Prediksi Cacat Perangkat lunak, terdapat permasalahan terkait feature
yang irrelevant dan redundant sehingga memerlukan tindakan penyelesaian untuk …