Exclusive use and evaluation of inheritance metrics viability in software fault prediction—an experimental study [PDF]
PeerJ Computer Science, 2021 Software Fault Prediction (SFP) assists in the identification of faulty classes, and software metrics provide us with a mechanism for this purpose. Besides others, metrics addressing inheritance in Object-Oriented (OO) are important as these measure ...
Syed Rashid Aziz +2 more
doaj +2 more sources
Evaluation of Rust code verbosity, understandability and complexity [PDF]
PeerJ Computer Science, 2021 Rust is an innovative programming language initially implemented by Mozilla, developed to ensure high performance, reliability, and productivity. The final purpose of this study consists of applying a set of common static software metrics to programs ...
Luca Ardito +3 more
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Vovel metrics—novel coupling metrics for improved software fault prediction [PDF]
PeerJ Computer Science, 2021 Software is a complex entity, and its development needs careful planning and a high amount of time and cost. To assess quality of program, software measures are very helpful.
Rizwan Muhammad +2 more
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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
doaj +2 more sources
SQMetrics: An Educational Software Quality Assessment Tool for Java
Knowledge, 2023 Over the years, various software quality measurement models have been proposed and used in academia and the software industry to assess the quality of produced code and to obtain guidelines for its improvement. In this article, we describe the design and
Dimitrios Sofronas +4 more
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Software metrics fluctuation: a property for assisting the metric selection process [PDF]
Information and Software Technology, 2016 Arvanitou, Elvira Maria +3 more
openaire +2 more sources
Extract Class Refactoring Based on Cohesion and Coupling: A Greedy Approach
Computers, 2022 A large class with many responsibilities is a design flaw that commonly occurs in real-world object-oriented systems during their lifespan. Such a class tends to be more difficult to comprehend, test, and change.
Musaad Alzahrani
doaj +1 more source
Qualitative Clustering of Software Repositories Based on Software Metrics
IEEE Access, 2023 Software repositories contain a wealth of information about the aspects related to software development process. For this reason, many studies analyze software repositories using methods of data analytics with a focus on clustering.
Yegor Bugayenko +6 more
doaj +1 more source
Predicting Software Cohesion Metrics with Machine Learning Techniques
Applied Sciences, 2023 The cohesion value is one of the important factors used to evaluate software maintainability. However, measuring the cohesion value is a relatively difficult issue when tracing the source code manually. Although there are many static code analysis tools,
Elif Nur Haner Kırğıl +1 more
doaj +1 more source
IET Software, 2023 The ever‐growing open‐source software tools in different domains increase the difficulty of software selection from the end‐users perspective. The process of evaluating, comparing, and selecting open‐source solutions is far from trivial. Especially, when
Yuqi Li +4 more
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