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A systematic literature review of machine learning techniques for software maintainability prediction
Context Software maintainability is one of the fundamental quality attributes of software
engineering. The accurate prediction of software maintainability is a significant challenge for …
engineering. The accurate prediction of software maintainability is a significant challenge for …
Deep learning approach for software maintainability metrics prediction
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 …
been deployed. Since it deals with the degree to which an application may be understood …
Software defect prediction using tree-based ensembles
Software defect prediction is an active research area in software engineering. Accurate
prediction of software defects assists software engineers in guiding software quality …
prediction of software defects assists software engineers in guiding software quality …
Code smell detection using feature selection and stacking ensemble: An empirical investigation
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 …
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 …
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 …
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 …
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
Background: Software product maintainability prediction (SPMP) is an important task to
control software maintenance activity, and many SPMP techniques for improving software …
control software maintenance activity, and many SPMP techniques for improving software …
Exploring maintainability index variants for software maintainability measurement in object-oriented systems
During maintenance, software systems undergo continuous correction and enhancement
activities due to emerging faults, changing environments, and evolving requirements …
activities due to emerging faults, changing environments, and evolving requirements …
Shear strength prediction of reinforced concrete beams by baseline, ensemble, and hybrid machine learning models
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 …
members. Develo** an effective mathematical method for accurately estimating shear …