A systematic literature review of machine learning techniques for software maintainability prediction

H Alsolai, M Roper - Information and Software Technology, 2020 - Elsevier
Context Software maintainability is one of the fundamental quality attributes of software
engineering. The accurate prediction of software maintainability is a significant challenge for …

Deep learning approach for software maintainability metrics prediction

S Jha, R Kumar, M Abdel-Basset, I Priyadarshini… - Ieee …, 2019 - ieeexplore.ieee.org
Software maintainability predicts changes or failures that may occur in software after it has
been deployed. Since it deals with the degree to which an application may be understood …

Software defect prediction using tree-based ensembles

H Aljamaan, A Alazba - Proceedings of the 16th ACM international …, 2020 - dl.acm.org
Software defect prediction is an active research area in software engineering. Accurate
prediction of software defects assists software engineers in guiding software quality …

Code smell detection using feature selection and stacking ensemble: An empirical investigation

A Alazba, H Aljamaan - Information and Software Technology, 2021 - Elsevier
Context: Code smell detection is the process of identifying code pieces that are poorly
designed and implemented. Recently more research has been directed towards machine …

An empirical study of some software fault prediction techniques for the number of faults prediction

SS Rathore, S Kumar - Soft Computing, 2017 - Springer
During the software development process, prediction of the number of faults in software
modules can be more helpful instead of predicting the modules being faulty or non-faulty …

Towards an ensemble based system for predicting the number of software faults

SS Rathore, S Kumar - Expert Systems with Applications, 2017 - Elsevier
Software fault prediction using different techniques has been done by various researchers
previously. It is observed that the performance of these techniques varied from dataset to …

Linear and non-linear heterogeneous ensemble methods to predict the number of faults in software systems

SS Rathore, S Kumar - Knowledge-Based Systems, 2017 - Elsevier
Several classification techniques have been investigated and evaluated earlier for the
software fault prediction. These techniques have produced different prediction accuracy for …

[PDF][PDF] Empirical studies on software product maintainability prediction: a systematic map** and review

S Elmidaoui, L Cheikhi, A Idri… - E-Informatica Software …, 2019 - bibliotekanauki.pl
Background: Software product maintainability prediction (SPMP) is an important task to
control software maintenance activity, and many SPMP techniques for improving software …

Shear strength prediction of reinforced concrete beams by baseline, ensemble, and hybrid machine learning models

JS Chou, TPT Pham, TK Nguyen, AD Pham, NT Ngo - Soft Computing, 2020 - Springer
The shear strength of reinforced concrete (RC) beams is critical in the design of structural
members. Develo** an effective mathematical method for accurately estimating shear …