[PDF][PDF] The Effectiveness of the Combination of Filter and Wrapper Feature Selection Methods to Improve Software Fault Prediction

F Alighardashi, MAZ Chahooki - TABRIZ JOURNAL OF …, 2017 - tjee.tabrizu.ac.ir
Improving the software product quality before releasing by periodic tests is one of the most
expensive activities in software projects. Due to limited resources to test modules in software …

The Effectiveness of the Fused Weighted Filter Feature Selection Method to Improve Software Fault Prediction

F Alighardashi, MAZ Chahooki - Journal of Communications …, 2016 - ojs.jctecs.com
Improving the software product quality before releasing by periodic tests is one of the most
expensive activities in software projects. Due to limited resources to modules test in software …

[PDF][PDF] A model for feature selection in software fault prediction based on memetic algorithm and fuzzy logic

M Eshraghi Nia, A Karimi, E Bastami - Electronic and Cyber Defense, 2021 - ecdj.ihu.ac.ir
Today, due to high costs, it is not possible to perform a comprehensive and complete test on
all parts of thesoftware. But if the fault-prone parts are identified before the test, the main …

Software Fault Prediction using Wrapper based Feature Selection Approach employing Genetic Algorithm

H Kumar, H Das - 2022 OPJU International Technology …, 2023 - ieeexplore.ieee.org
Software fault prediction helps in early identification of software faults and as a result it
improves the software quality. It uses previous software metrics and fault data as …

[PDF][PDF] Comparative analysis of selected heterogeneous classifiers for software defects prediction using filter-based feature selection methods

AG Akintola, AO Balogun… - FUOYE Journal of …, 2018 - researchgate.net
Classification techniques is a popular approach to predict software defects and it involves
categorizing modules, which is represented by a set of metrics or code attributes into fault …

[PDF][PDF] Feature selection using combination of genetic-whale-ant colony algorithms for software fault prediction by machine learning

A Karimi, M Irajimoghaddam, E Bastami - Electr Cyber Defense, 2022 - sid.ir
Software fault prediction methods are used to predict fault-prone modules in the early stages
of software development. Machine learning techniques are the most common techniques …

[HTML][HTML] Software Defect Prediction System Based on Well-Tuned Random Forest Technique

FH Khorsheed, NJ Ibrahim… - Интеллектуальные …, 2023 - cyberleninka.ru
Software quality is the main criterion for increasing user demand for software. Therefore,
software companies seek to ensure software quality by predicting software defects in the …

A Comparative Study of Wrapper Feature Selection Techniques in Software Fault Prediction

NT Long, HTM Phuong, NT Binh - Conference on Information Technology …, 2023 - Springer
Software fault prediction aims to classify whether the module is defective or not-defective. In
software systems, there are some software metrics may contain irrelevant or redundant …

Feature selection using firefly algorithm in software defect prediction

M Anbu, GS Anandha Mala - Cluster Computing, 2019 - Springer
Defects occurring in software product are a universal event. Prevention of these defects in
the early stage needs more attention because early stage prevention and fixing requires …

Feature selection and software defect prediction by different ensemble classifiers

N Shakhovska, V Yakovyna - … , DEXA 2021, Virtual Event, September 27 …, 2021 - Springer
Software defect prediction can improve its quality and is actively studied during the last
decade. This paper focuses on the improvement of software defect prediction accuracy by …