Results 21 to 30 of about 281,995 (369)
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
doaj +1 more source
Software fault prediction using deep learning techniques
Software quality journal, 2023 Software fault prediction (SFP) techniques identify faults at the early stages of the software development life cycle (SDLC). We find machine learning techniques commonly used for SFP compared to deep learning methods, which can produce more accurate ...
Iqra Batool, T. Khan
semanticscholar +1 more source
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
doaj +1 more source
Explaining software fault predictions to spreadsheet users
Journal of Systems and Software, 2022 A variety of automated software fault prediction techniques was proposed in recent years, in particular for the important class of spreadsheet programs. Software fault prediction techniques commonly create ranked lists of "suspicious'' program statements for developers to inspect.
Mukhtar, Adil +3 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
doaj +1 more source
Evaluation of Classifiers in Software Fault-Proneness Prediction [PDF]
Journal of Artificial Intelligence and Data Mining, 2017 Reliability of software counts on its fault-prone modules. This means that the less software consists of fault-prone units the more we may trust it. Therefore, if we are able to predict the number of fault-prone modules of software, it will be possible ...
F. Karimian, S. M. Babamir
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Cross-Project Defect Prediction: A Literature Review
IEEE Access, 2022 Background: Software defect prediction models aim at identifying the potential faulty modules of a software project based on historical data collected from previous versions of the same project.
Sourabh Pal, Alberto Sillitti
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Bagged SVM Classifier for Software Fault Prediction [PDF]
International Journal of Computer Applications, 2013 A. Shanthini +2 more
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Engineering Science and Technology, an International Journal, 2020 Software development projects require a critical and costly testing phase to investigate efficiency of the resultant product. As the size and complexity of project increases, manual prediction of software defects becomes a time consuming and costly task.
Fatih Yucalar +3 more
doaj +1 more source