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Novel Algorithms for Web Software Fault Prediction
Quality and Reliability Engineering International, 2014Reliability is gaining importance with time for Web system because of the popularity of different Web‐based applications, namely, different Web sites and social community networks. In order to aggrandize the reliability of a Web system, some methods are required to measure its current reliability.
Subhashis Chatterjee, Arunava Roy
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Software Fault Prediction Process
2018Accurate detection and early removal of software faults during the software development can reduce the overall cost of software development and can result in the improved software quality product. These inherent advantages of software fault prediction have attracted many researchers to focus on the software fault prediction.
Sandeep Kumar, Santosh Singh Rathore
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Types of Software Fault Prediction
2018A large number of researchers have presented various fault prediction studies to predict the fault-proneness of the given software system. These fault prediction studies reported the results in term of different–different contexts. Depending upon the context of the results, a fault prediction model can classify a software module into faulty or non ...
Sandeep Kumar, Santosh Singh Rathore
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Reliability prediction for fault-tolerant software architectures
Proceedings of the joint ACM SIGSOFT conference -- QoSA and ACM SIGSOFT symposium -- ISARCS on Quality of software architectures -- QoSA and architecting critical systems -- ISARCS, 2011Software fault tolerance mechanisms aim at improving the reliability of software systems. Their effectiveness (i.e., reliability impact) is highly application-specific and depends on the overall system architecture and usage profile. When examining multiple architecture configurations, such as in software product lines, it is a complex and error-prone ...
Franz Brosch +3 more
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Mining software repositories for comprehensible software fault prediction models
Journal of Systems and Software, 2008Software managers are routinely confronted with software projects that contain errors or inconsistencies and exceed budget and time limits. By mining software repositories with comprehensible data mining techniques, predictive models can be induced that offer software managers the insights they need to tackle these quality and budgeting problems in an ...
Olivier Vandecruys +5 more
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Class level fault prediction using software clustering
2013 28th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2013Defect prediction approaches use software metrics and fault data to learn which software properties associate with faults in classes. Existing techniques predict fault-prone classes in the same release (intra) or in a subsequent releases (inter) of a subject software system.
Giuseppe Scanniello +4 more
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An iterative semi-supervised approach to software fault prediction
Proceedings of the 7th International Conference on Predictive Models in Software Engineering, 2011Background: Many statistical and machine learning techniques have been implemented to build predictive fault models. Traditional methods are based on supervised learning. Software metrics for a module and corresponding fault information, available from previous projects, are used to train a fault prediction model.
Huihua Lu, Bojan Cukic, Mark Vere Culp
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Prediction models for software fault correction effort
Proceedings Fifth European Conference on Software Maintenance and Reengineering, 2002We have developed a model to explain and predict the effort associated with changes made to software to correct faults while it is undergoing development. Since the effort data available for this study is ordinal in nature, ordinal response models are used to explain the effort in terms of measures of fault locality and the characteristics of the ...
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Issue-Driven Features for Software Fault Prediction
SSRN Electronic Journal, 2022Amir Elmishali, Meir Kalech
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Improving Software Fault Prediction With Threshold Values
2018 26th International Conference on Software, Telecommunications and Computer Networks (SoftCOM), 2018Software fault prediction has been studied by many researchers to assess the quality of software and to predict where faults may appear in future. However, the performance of fault prediction degrades because of many reasons including unlabeled instances or data imbalance, i.e., modules that contain faults are minority.
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