Results 1 to 10 of about 375 (214)
Applying Machine Learning to Software Fault Prediction [PDF]
e-Informatica Software Engineering Journal, 2018 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
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A systematic review of software fault prediction studies
Expert Systems With Applications, 2009 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 ...
Cagatay Caṫal, Banu Diri
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Iterative software fault prediction with a hybrid approach
Applied Soft Computing Journal, 2016 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
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Software fault prediction: A literature review and current trends
Expert Systems With Applications, 2011 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
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Software Defect Prediction Framework Using Hybrid Software Metric
JOIV: International Journal on Informatics Visualization, 2022 Software fault prediction is widely used in the software development industry. Moreover, software development has accelerated significantly during this epidemic.
Amirul Zaim +4 more
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Heterogeneous Fault Prediction Using Feature Selection and Supervised Learning Algorithms
Vietnam Journal of Computer Science, 2022 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
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Inteligencia Artificial, 2021 The ongoing development of computer systems requires massive software projects. Running the components of these huge projects for testing purposes might be a costly process; therefore, parameter estimation can be used instead.
Mohammad Alshayeb +1 more
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Analysis of Feature Selection Methods in Software Defect Prediction Models
IEEE Access, 2023 Improving software quality by proactively detecting potential defects during development is a major goal of software engineering. Software defect prediction plays a central role in achieving this goal.
Misbah Ali +6 more
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Error-Type—A Novel Set of Software Metrics for Software Fault Prediction
IEEE Access, 2023 In software development, identifying software faults is an important task. The presence of faults not only reduces the quality of the software, but also increases the cost of development life cycle.
Khoa Phung +2 more
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Examining the Predictive Capability of Advanced Software Fault Prediction Models – An Experimental Investigation Using Combination Metrics [PDF]
e-Informatica Software Engineering Journal, 2022 Background: Fault prediction is a key problem in software engineering domain. In recent years, an increasing interest in exploiting machine learning techniques to make informed decisions to improve software quality based on available data has been ...
Pooja Sharma, Amrit Lal Sangal
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