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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 …
A study on metaheuristics approaches for gene selection in microarray data: algorithms, applications and open challenges
In the recent decades, researchers have introduced an abundance of feature selection
methods many of which are studied and analyzed over the high dimensional datasets …
methods many of which are studied and analyzed over the high dimensional datasets …
A multiple criteria decision analysis based approach to remove uncertainty in SMP models
Software has to be updated frequently to match the customer needs. If software
maintainability is not given priority, it affects the software development life cycle and …
maintainability is not given priority, it affects the software development life cycle and …
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 …
Firefly-based maintainability prediction for enhancing quality of software
In a broad spectrum, software metrics play a vital role in attribute assessment, which
successively moves software projects. The metrics measure gives many crucial facets of the …
successively moves software projects. The metrics measure gives many crucial facets of the …
Machine learning techniques for software maintainability prediction: Accuracy analysis
Maintaining software once implemented on the end-user side is laborious and, over its
lifetime, is most often considerably more expensive than the initial software development …
lifetime, is most often considerably more expensive than the initial software development …
Impact of historical software metric changes in predicting future maintainability trends in open-source software development
Featured Application The paper shows that the additional layers of historical changes of
software metrics from previous software releases contributes to a better prediction of future …
software metrics from previous software releases contributes to a better prediction of future …
[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 …
A systematic review of feature selection techniques in software quality prediction
Background: Feature selection techniques are important factors for improving machine
learning models because they increase prediction accuracy and decrease the time to create …
learning models because they increase prediction accuracy and decrease the time to create …
Gamification in test-driven development practice
W Ren - Proceedings of the 2nd International Workshop on …, 2023 - dl.acm.org
The challenge of effectively develo** and sustaining high-performance professional
development practices in software engineering education is one that must be addressed …
development practices in software engineering education is one that must be addressed …