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Software Fault Prediction Using Random Forests
2020In this paper, we present a software fault prediction model using random forests. Software fault prediction identifies the faulty regions in a software product early in its lifecycle and hence improves the quality attributes such as reliability of the software. Random forest is an ensemble learning method for classification. Random forests contain many
Kulamala Vinod Kumar +3 more
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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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K-means Clusteringfor Software faults prediction
Computing Trendz - The Journal of Emerging Trends in Information Technology, 2016The occurrence of defects in the software system has become prominent problem in development process of software. A software fault refers to wrong transition within software that causes the product to act in an unintended manner. Faults are the root causes of software failures.
Meenu Singla, Bhavtosh Mishra
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Transfer Learning for Predicting Software Faults
2019 11th International Conference on Knowledge and Systems Engineering (KSE), 2019This paper investigates a transfer learning application for predicting software faults. Detecting faulty modules in software projects is challenging due to two main issues 1) the low quality of existing handcrafted features leads to the bad performance of traditional learning models and 2) the shortage of annotated data hinders applying deep neural ...
Anh Phan Viet +2 more
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Predicting Faults in High Assurance Software
2010 IEEE 12th International Symposium on High Assurance Systems Engineering, 2010Reducing the number of latent software defects is a development goal that is particularly applicable to high assurance software systems. For such systems, the software measurement and defect data is highly skewed toward the not-fault-prone program modules, i.e., the number of fault-prone modules is relatively very small.
Naeem Seliya +2 more
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Software Fault Prediction Based on Fault Probability and Impact
2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA), 2019Nowadays, software tests prioritization is a crucial task. Indeed, testing exhaustively the whole software system can be very difficult, heavily time and resources consuming. Using machine learning algorithms to predict which parts of a software system are fault-prone can help testers to focus on high-risk parts of the code and improve resources ...
Salim Moudache, Mourad Badri
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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 ...
Vandecruys, Olivier +5 more
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Software faults prediction using multiple classifiers
2011 3rd International Conference on Computer Research and Development, 2011In recent years, the use of machine learning algorithms (classifiers) has proven to be of great value in solving a variety of problems in software engineering including software faults prediction. This paper extends the idea of predicting software faults by using an ensemble of classifiers which has been shown to improve classification performance in ...
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Important Issues in Software Fault Prediction
2014Quality assurance tasks such as testing, verification and validation, fault tolerance, and fault prediction play a major role in software engineering activities. Fault prediction approaches are used when a software company needs to deliver a finished product while it has limited time and budget for testing it.
Golnoush Abaei, Ali Selamat
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Variance Analysis in Software Fault Prediction Models
2009 20th International Symposium on Software Reliability Engineering, 2009Software fault prediction models play an important role in softwarequality assurance. They identify software subsystems (modules,components, classes, or files) which are likely to contain faults.These subsystems, in turn, receive additional resources forverification and validation activities.
Yue Jiang +3 more
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