[PDF][PDF] Optimizing Software Defect Prediction: A Genetic Algorithm Based Comparative Analysis

M Ali - ijcis.com
Software quality assurance is a crucial activity during the initial stages of the
softwaredevelopment life cycle. Over the past two decades, various frameworks have been …

[PDF][PDF] Performance analysis of machine learning techniques on software defect prediction using NASA datasets

A Iqbal, S Aftab, U Ali, Z Nawaz, L Sana… - … Journal of Advanced …, 2019 - researchgate.net
Defect prediction at early stages of software development life cycle is a crucial activity of
quality assurance process and has been broadly studied in the last two decades. The early …

A review on machine learning techniques for software defect prediction

F Hassan, S Farhan, MA Fahiem, H Tauseef - Technical Journal, 2018 - tj.uettaxila.edu.pk
Software defect prediction has been an interest of research era because predicting defects
on early stages improves software quality with reduced cost and effective software …

Software Defect Prediction: A Comparative Analysis of Machine Learning Techniques

R Shrimankar, M Kuanr, J Piri… - … Conference on Machine …, 2022 - ieeexplore.ieee.org
The early prediction of defective modules in developing software can help the development
team to utilize the available resources efficiently to deliver high quality software product in …

Software Defect Prediction Based on Selected Features Using Neural Network and Decision Tree

P Mehta, A Tandon, Neha - Strategic System Assurance and Business …, 2020 - Springer
Software defect prediction is a vital part in software reliability field. Here, the software
modules are identified as defective or non-defective based on selection of the right set of …

Prediction Of Software Defects Using Ensemble Machine Learning Techniques

S Jindam, ST Challa, SJ Chada, S Malgireddy - 2022 - papers.ssrn.com
During software development and maintenance, predicting software bugs becomes critical.
Defect prediction early in the software development life cycle is an important aspect of the …

Comparing feature selection techniques for software quality estimation using data-sampling-based boosting algorithms

TM Khoshgoftaar, K Gao, Y Chen… - International Journal of …, 2015 - World Scientific
Software defect prediction is a classification technique that utilizes software metrics and fault
data collected during the software development process to identify fault-prone modules …

Choosing software metrics for defect prediction: an investigation on feature selection techniques

K Gao, TM Khoshgoftaar, H Wang… - Software: Practice and …, 2011 - Wiley Online Library
The selection of software metrics for building software quality prediction models is a search‐
based software engineering problem. An exhaustive search for such metrics is usually not …

[PDF][PDF] Egyptian Informatics Journal

Y Al-Smadi, M Eshtay, A Al-Qerem, S Nashwan… - researchgate.net
Predicting defect-prone software components can play a significant role in allocating
relevant testing resources to fault-prone modules and hence increasing the business value …

[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 …