Results 31 to 40 of about 11,335 (296)

Software Fault Estimation Framework based on aiNet [PDF]

International Journal of Computational Intelligence Systems, 2014
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

A hybrid approach based on k-nearest neighbors and decision tree for software fault prediction

Kuwait Journal of Science, 2023
Software testing is a very important part of the software development life cycle to develop reliable and bug-free software but it consumes a lot of resources like development time, cost, and effort.
Manpreet Singh, Jitender Kumar Chhabra
doaj   +1 more source

High-reliability fault tolerant digital systems in nanometric technologies: Characterization and design methodologies [PDF]

, 2012
This paper reports the main contribution of a project devoted to the definition of techniques to design and evaluate fault tolerant systems implemented using the SoPC paradigm, suitable for missionand safety-critical application environments.
Gerardin S., C. Metra, Rossi D, PACCAGNELLA, ALESSANDRO, Miele, A, Sterpone, Luca, Bagattin, M., S. Gerardin, Gerardin, S, Sandionigi C., Sterpone L., Sterpone L, Omana M., Salsano, A, ROSSI, DANIELE, Gerardin, S., Metra, C., GERARDIN, SIMONE, Bolchini, C, A. Miele, Ottavi M, Sonza Reorda, M., Bagatin M, Sandionigi, C, M. Bagatin, A. Paccagnella, MIELE, ANTONIO ROSARIO, Pontarelli, S., Miele A., C. Sandionigi, M. Violante, L. Sterpone, Gerardin S, Miele A, Paccagnella, A, Salsano A., Violante M, Ottavi M., Violante M., Bagatin, M., Sandionigi, C., Reorda M, SALSANO, ADELIO, Pontarelli S, OMANA, MARTIN EUGENIO, Bolchini, C., BAGATIN, MARTA, Bagatin M., C. Bolchini, Violante, M., Salsano A, Omana, M, Bagatin, M, Sonza Reorda M, Rossi D., Reorda, M, Paccagnella A., Omana, M., A. Salsano, PONTARELLI, SALVATORE, Violante, Massimo, S. Pontarelli, BOLCHINI, CRISTIANA, Metra C., Bolchini C, Omana M, Miele, A., Paccagnella, A., D. Rossi, Pontarelli S., Pontarelli, S, M. Ottavi, Reorda M. S., Reorda, M. Sonza, Sterpone, L., Sterpone, L, M. Sonza Reorda, Violante, M, Salsano, A., Sandionigi C, METRA, CECILIA, Metra, C, Ottavi, M., Rossi, D, OTTAVI, MARCO, M. Omana, Sonza Reorda, Matteo, Paccagnella A, Ottavi, M, Rossi, D., Bolchini C., Metra C   +91 more
core   +1 more source

Software Reliability Prediction through Encoder-Decoder Recurrent Neural Networks [PDF]

International Journal of Mathematical, Engineering and Management Sciences, 2022
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, Junjun Zheng, Hiroyuki Okamura , Tadashi Dohi   +3 more
doaj   +1 more source

The Empirical Study of Semi-Supervised Deep Fuzzy C-Mean Clustering for Software Fault Prediction

IEEE Access, 2018
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, Saman Riaz, Licheng Jiao, Aparna Murthy   +3 more
doaj   +1 more source

Software Fault-Proneness Analysis based on Composite Developer-Module Networks

IEEE Access, 2021
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, W. Eric Wong, Yihao Li, William Cheng-Chung Chu   +3 more
doaj   +1 more source

Machine Learning-Based Software Defect Prediction for Mobile Applications: A Systematic Literature Review

Sensors, 2022
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, Akhan Akbulut, Cagatay Catal, Alok Mishra   +3 more
doaj   +1 more source

Microprocessor fault-tolerance via on-the-fly partial reconfiguration [PDF]

, 2010
This paper presents a novel approach to exploit FPGA dynamic partial reconfiguration to improve the fault tolerance of complex microprocessor-based systems, with no need to statically reserve area to host redundant components.
Stefano Di Carlo, Miele, Andrea, Trapanese, Antonio, Paolo Prinetto, Prinetto, Paolo Ernesto, Andrea Miele, Di Carlo, Stefano, Antonio Trapanese   +7 more
core   +1 more source

An Empirical Study on Software Fault Prediction Using Product and Process Metrics

, 2021
Product and process metrics are measured from the development and evolution of software. Metrics are indicators of software fault-proneness and advanced models using machine learning can be provided to the development team to select modules for further ...
Mishra,A., Shatnawi,R., Mıshra, Alok
core   +1 more source

Data quality: Some comments on the NASA software defect datasets [PDF]

, 2013
Background-Self-evidently empirical analyses rely upon the quality of their data. Likewise, replications rely upon accurate reporting and using the same rather than similar versions of datasets.
Mair, C, Mair, Carolyn, Song, Q, Shepperd, M, Shepperd, Martin, Sun, Zhongbin, Song, Qinbao, Sun, Z   +7 more
core   +1 more source