Results 11 to 20 of about 131,766 (331)
Software Fault Prediction at Design Phase
Journal of Electrical Engineering and Technology, 2014 Prediction of fault-prone modules continues to attract researcher’s interest due to its significant impact on software development cost. The most important goal of such techniques is to correctly identify the modules where faults are most likely to present in early phases of software development lifecycle.
Pradeep Singh, Shrish Verma, O.P. Vyas
openaire +3 more sources
A novel deep neural network structure for software fault prediction [PDF]
PeerJ Computer ScienceSoftware 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
Salp swarm optimizer for modeling the software fault prediction problem
Journal of King Saud University: Computer and Information Sciences, 2022 This paper proposes the salp swarm algorithm (SSA) combined with a backpropagation neural network (BPNN) to solve the software fault prediction (SFP) problem.
Sofian Kassaymeh +3 more
doaj +2 more sources
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
doaj +1 more source
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
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
doaj +1 more source
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
Software Fault Prediction Using Deep Learning Techniques
Software Quality Journal, 2022 Abstract Software fault prediction (SFP) techniques are used to identify faults at the early stages of the software development life cycle (SDLC). We find machine learning techniques as commonly used techniques for SFP as compared to deep learning methods which can produce more accurate results.
Iqra Batool, Tamim Ahmed Khan
openaire +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
openaire +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
doaj +1 more source