Inheritance metrics feats in unsupervised learning to classify unlabeled datasets and clusters in fault prediction [PDF]
PeerJ Computer Science, 2021 Fault prediction is a necessity to deliver high-quality software. The absence of training data and mechanism to labeling a cluster faulty or fault-free is a topic of concern in software fault prediction (SFP).
Syed Rashid Aziz +2 more
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Efficacy of Inheritance Aspect in Software Fault Prediction—A Survey Paper
IEEE Access, 2020 Software fault prediction (SFP) is a research area that helps development and testing process deliver software of good quality. Software metrics are of various types and are used in SFP for measurements. Inheritance is a prominent feature, which measures
Syed Rashid Aziz +2 more
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A Comprehensive MCDM-Based Approach for Object-Oriented Metrics Selection Problems
Applied Sciences, 2023 Object-oriented programming (OOP) is prone to defects that negatively impact software quality. Detecting defects early in the development process is crucial for ensuring high-quality software, reducing maintenance costs, and increasing customer ...
Mohamed Maddeh +4 more
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AISoftware bug prediction is a software maintenance technique used to predict the occurrences of bugs in the early stages of the software development process.
Waleed Albattah, Musaad Alzahrani
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Do Internal Software Metrics Have Relationship with Fault-proneness and Change-proneness? [PDF]
Programming and computer software, 2023 Fault-proneness is a measure that indicates the possibility of programming errors occurring within a software system. On the other hand, change-proneness refers to the potential for modifications to be made to the software.
Md.Masudur Rahman +2 more
semanticscholar +1 more source
Internal Quality Evolution of Open-Source Software Systems
Applied Sciences, 2021 The evolution of software is necessary for the success of software systems. Studying the evolution of software and understanding it is a vocal topic of study in software engineering.
Mamdouh Alenezi
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Software Reusability Estimation based on Dynamic Metrics using Soft Computing Techniques
Int. J. Comput., 2022 Dynamic metrics capture the run time features of object-oriented languages, i.e., runtime polymorphism, dynamic binding, etc., that are not covered by static metrics.
Manju Duhan, P. Bhatia
semanticscholar +1 more source
Class-Level Refactoring Prediction by Ensemble Learning with Various Feature Selection Techniques
Applied Sciences, 2022 Background: Refactoring is changing a software system without affecting the software functionality. The current researchers aim i to identify the appropriate method(s) or class(s) that needs to be refactored in object-oriented software. Ensemble learning
Rasmita Panigrahi +3 more
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Early size estimation of web apps created using codeigniter framework by nonlinear regression models
Радіоелектронні і комп'ютерні системи, 2022 Subject matter: Early software size estimation is one of the project managers' significant problems in evaluating app development efforts because software size is the major determinant of software project effort.
Sergiy Prykhodko +2 more
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#318 : Embryomap: A Flexible Tool for Preimplantation Biopsy Samples
Fertility & Reproduction, 2023 EmbryoMap is a streamlined workflow for chromosome copy number variation analysis and has been optimised and analytically validated to maximise the accuracy of results and reproducibility in the users’ hands.
Kathryn Gebhardt
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