Software Fault Estimation Framework based on aiNet [PDF]
Software fault prediction techniques are helpful in developing dependable software. In this paper, we proposed a novel framework that integrates testing and prediction process for unit testing prediction.
Qian Yin, Ruiyi Luo, Ping Guo
doaj +1 more source
Software Reliability Prediction through Encoder-Decoder Recurrent Neural Networks [PDF]
With the growing demand for high reliability and safety software, software reliability prediction has attracted more and more attention to identifying potential faults in software.
Chen Li +3 more
doaj +1 more source
Prediction intervals for reliability growth models with small sample sizes [PDF]
Engineers and practitioners contribute to society through their ability to apply basic scientific principles to real problems in an effective and efficient manner.
Quigley, J.L., Walls, L.A.
core +1 more source
The Empirical Study of Semi-Supervised Deep Fuzzy C-Mean Clustering for Software Fault Prediction
Software fault prediction is a very consequent research topic for software quality assurance. The performance of fault prediction model depends on the features that are used to train it.
Ali Arshad +3 more
doaj +1 more source
Software Fault-Proneness Analysis based on Composite Developer-Module Networks
Existing software fault-proneness analysis and prediction models can be categorized into software metrics and visualized approaches. However, the studies of the software metrics solely rely on the quantified data, while the latter fails to reflect the ...
Shou-Yu Lee +3 more
doaj +1 more source
Reliability modeling of a 1-out-of-2 system: Research with diverse Off-the-shelf SQL database servers [PDF]
Fault tolerance via design diversity is often the only viable way of achieving sufficient dependability levels when using off-the-shelf components. We have reported previously on studies with bug reports of four open-source and commercial off-the-shelf ...
Bishop, P. G. +3 more
core +1 more source
Software defect prediction studies aim to predict defect-prone components before the testing stage of the software development process. The main benefit of these prediction models is that more testing resources can be allocated to fault-prone modules ...
Manzura Jorayeva +3 more
doaj +1 more source
Assessing Asymmetric Fault-Tolerant Software [PDF]
The most popular forms of fault tolerance against design faults use "asymmetric" architectures in which a "primary" part performs the computation and a "secondary" part is in charge of detecting errors and performing some kind of error processing and ...
Popov, P. T., Strigini, L.
core +1 more source
JWalk: a tool for lazy, systematic testing of java classes by design introspection and user interaction [PDF]
Popular software testing tools, such as JUnit, allow frequent retesting of modified code; yet the manually created test scripts are often seriously incomplete.
A. Petrenko +32 more
core +1 more source
A comparative study of deep learning techniques in software fault prediction
Software fault prediction (SFP) is an important approach in software engineering that ensures software quality and reliability. Prediction of software faults helps developers identify faulty components in software systems.
Ha Thi Minh Phuong +2 more
doaj +1 more source

