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Software Fault Prediction Using Deep Learning Algorithms
International Journal of Open Source Software and Processes, 2019Software faults prediction (SFP) processes can be used for detecting faulty constructs at early stages of the development lifecycle, in addition to its being used in several phases of the development process. Machine learning (ML) is widely used in this area.
Osama Al Qasem, Mohammed Akour
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A study on software fault prediction techniques
Artificial Intelligence Review, 2017Software fault prediction aims to identify fault-prone software modules by using some underlying properties of the software project before the actual testing process begins.
Santosh S. Rathore, Sandeep Kumar
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A clustering algorithm for software fault prediction
2010 International Conference on Computer and Communication Technology (ICCCT), 2010Software metrics are used for predicting whether modules of software project are faulty or fault free. Timely prediction of faults especially accuracy or computation faults improve software quality and hence its reliability. As we can apply various distance measures on traditional K-means clustering algorithm to predict faulty or fault free modules ...
Deepinder Kaur +3 more
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An empirical approach for software fault prediction
2010 5th International Conference on Industrial and Information Systems, 2010Measuring software quality in terms of fault proneness of data can help the tomorrow's programmers to predict the fault prone areas in the projects before development. Knowing the faulty areas early from previous developed projects can be used to allocate experienced professionals for development of fault prone modules.
Arashdeep Kaur +2 more
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Software Fault Prediction Using Cross-Validation
2020Software faults are dangerous. Software systems are often essential to a business operation or organization, and failures in such systems cause disruption of some goal-directed activity (mission critical). Faults in safety-critical systems may result in death, loss of property, or environmental harm.
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Comprehensive model for software fault prediction
2017 International Conference on Inventive Computing and Informatics (ICICI), 2017Software Fault prediction (SFP) is an important task in the fields of software engineering to develop a cost effective software. Most of the software fault prediction is performed on same project date i.e., training and testing with same projects fault data.
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Software Fault Prediction Models for Web Applications
2010 IEEE 34th Annual Computer Software and Applications Conference Workshops, 2010Our daily life increasingly relies on Web applications. Web applications provide us with abundant services to support our everyday activities. As a result, quality assurance for Web applications is becoming important and has gained much attention from software engineering community.
Le Truong Giang +2 more
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Issue-Driven Features for Software Fault Prediction
SSRN Electronic Journal, 2022Amir Elmishali, Meir Kalech
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Software Fault Prediction Using Artificial Intelligence Techniques
2017 2nd International Conference on Computational Systems and Information Technology for Sustainable Solution (CSITSS), 2017Detecting faults in the initial stage of the development process has become an important prospect for the codes cost estimation; so a fault predictor model is very much necessary in order to bring down the cost of development and maintenance. Due to these reasons, developing models for fault prediction has become a crucial part of research, and various
Apeksha Haveri, Yeresime Suresh
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Software fault prediction for object oriented systems
ACM SIGSOFT Software Engineering Notes, 2011There always has been a demand to produce efficient and high quality software. There are various object oriented metrics that measure various properties of the software like coupling, cohesion, inheritance etc. which affect the software to a large extent.
Ruchika Malhotra, Ankita Jain
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