Vovel metrics—novel coupling metrics for improved software fault prediction [PDF]
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
doaj +3 more sources
Exclusive use and evaluation of inheritance metrics viability in software fault prediction—an experimental study [PDF]
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 +3 more sources
Applying Machine Learning to Software Fault Prediction [PDF]
Introduction: Software engineering continuously suffers from inadequate software testing. The automated prediction of possibly faulty fragments of source code allows developers to focus development efforts on fault-prone fragments first. Fault prediction
Bartłomiej Wójcicki, Robert Dąbrowski
doaj +2 more sources
A systematic review of software fault prediction studies
This paper provides a systematic review of previous software fault prediction studies with a specific focus on metrics, methods, and datasets. The review uses 74 software fault prediction papers in 11 journals and several conference proceedings. According to the review results, the usage percentage of public datasets increased significantly and the ...
Banu Diri, Cagatay Caṫal
exaly +4 more sources
A novel deep neural network structure for software fault prediction [PDF]
Software fault prediction is crucial to compute the potential occurrence of faults within the software components, before code testing or execution.
Mehrasa Modanlou Jouybari +3 more
doaj +3 more sources
Iterative software fault prediction with a hybrid approach
Display Omitted To make software fault prediction (SFP) more beneficial, it should be into service at the beginning of the project.A novel prediction methodology based on existing methods (i.e. FIS, ANN) are proposed here.Version based development of software projects are considered to design an iterative prediction approach.Proposed methodology is ...
Ebru Akçapınar Sezer
exaly +3 more sources
Feature Selection Using Golden Jackal Optimization for Software Fault Prediction
A program’s bug, fault, or mistake that results in unintended results is known as a software defect or fault. Software flaws are programming errors due to mistakes in the requirements, architecture, or source code. Finding and fixing bugs as soon as they
Himansu Das +5 more
doaj +3 more sources
Software fault prediction: A literature review and current trends
Software engineering discipline contains several prediction approaches such as test effort prediction, correction cost prediction, fault prediction, reusability prediction, security prediction, effort prediction, and quality prediction. However, most of these prediction approaches are still in preliminary phase and more research should be conducted to ...
Cagatay Caṫal
exaly +3 more sources
Software Defect Prediction Framework Using Hybrid Software Metric
Software fault prediction is widely used in the software development industry. Moreover, software development has accelerated significantly during this epidemic.
Amirul Zaim +4 more
doaj +1 more source
Heterogeneous Fault Prediction Using Feature Selection and Supervised Learning Algorithms
Software Fault Prediction (SFP) is the most persuasive research area of software engineering. Software Fault Prediction which is carried out within the same software project is known as With-In Fault Prediction.
Rashmi Arora, Arvinder Kaur
doaj +1 more source

