[PDF][PDF] Metaheuristic optimization based feature selection for software defect prediction.

RS Wahono, N Suryana, S Ahmad - J. Softw., 2014 - researchgate.net
Software defect prediction has been an important research topic in the software engineering
field, especially to solve the inefficiency and ineffectiveness of existing industrial approach of …

A PROMETHEE based evaluation of software defect predictors

RG Jimoh, AO Balogun, AO Bajeh, S Ajayi - Journal of Computer Science …, 2018 - ajol.info
A software defect is an error, flaw, mistake, or fault in a computer program or system that
produces incorrect or unexpected results and the process of locating defective modules in …

[PDF][PDF] A feature selection based ensemble classification framework for software defect prediction

A Iqbal, S Aftab, I Ullah, MS Bashir… - International Journal of …, 2019 - mecs-press.org
Software defect prediction is one of the emerging research areas of software engineering.
The prediction of defects at early stage of development process can produce high quality …

A hybrid feature selection method for software fault prediction

Y Jian, X Yu, Z Xu, Z Ma - IEICE TRANSACTIONS on Information …, 2019 - search.ieice.org
Fault prediction aims to identify whether a software module is defect-prone or not according
to metrics that are mined from software projects. These metric values, also known as …

Software fault prediction using lion optimization algorithm

S Goyal, PK Bhatia - International Journal of Information Technology, 2021 - Springer
Software fault prediction (SFP) refers to the early prediction of fault-prone modules in
software development which are susceptible to faults and incur high development cost. It is …

Rank aggregation based multi-filter feature selection method for software defect prediction

AO Balogun, S Basri, SJ Abdulkadir… - Advances in Cyber …, 2021 - Springer
With the variety of different filter methods, selecting the most appropriate filter method which
gives the best performance is a difficult task. Filter rank selection and stability problems …

Hybrid model with optimization tactics for software defect prediction

SG Gollagi, S Balasubramaniam - International Journal of Modeling …, 2023 - World Scientific
Defects are frequent in software systems, and they can cause a lot of issues for users.
Despite the fact that many studies have been conducted on employing software product …

Pre-processing of datasets with best feature selection and outlier removal techniques for a fair and robust model of software defect prediction

S Singh, MTU Haider - 2022 - researchsquare.com
In software engineering, the most demanding task is to predict soft-ware defects. Usually, for
predicting defects machine learning techniques are required. As we know in machine …

Software defect prediction using ensemble learning on selected features

IH Laradji, M Alshayeb, L Ghouti - Information and Software Technology, 2015 - Elsevier
Context Several issues hinder software defect data including redundancy, correlation,
feature irrelevance and missing samples. It is also hard to ensure balanced distribution …

[HTML][HTML] Depth linear discrimination-oriented feature selection method based on adaptive sine cosine algorithm for software defect prediction

AB Nasser, WAHM Ghanem, AMHY Saad… - Expert Systems with …, 2024 - Elsevier
Abstract Software Defect Prediction (SDP) plays a vital role in the software development life
cycle as it helps identify and fix software defects. However, predicting software defects with …