Results 31 to 40 of about 4,766,212 (242)

A comparative study of deep learning techniques in software fault prediction

Tạp chí Khoa học và Công nghệ
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, Dang Thi Kim Ngan, Nguyen Thanh Binh   +2 more
doaj   +1 more source

RMTool, Rekayasa Persyaratan, Perangkat Lunak, UML, Pemula

Jurnal Nasional Teknik Elektro dan Teknologi Informasi, 2017
High balance value of software fault prediction can help in conducting test effort, saving test costs, saving test resources, and improving software quality.
Fachrul Pralienka Bani Muhamad, Daniel Oranova Siahaan, Chastine Fatichah   +2 more
doaj   +1 more source

Software Fault Localization through Aggregation-Based Neural Ranking for Static and Dynamic Features Selection

Sensors, 2021
The automatic localization of software faults plays a critical role in assisting software professionals in fixing problems quickly. Despite various existing models for fault tolerance based on static features, localization is still challenging.
Abdulaziz Alhumam
doaj   +1 more source

Piecewise Congruence Regressed Indexive Extreme Learning Classifier for Software Fault Prediction

IEEE Access
Software fault prediction is a significant task in software development to discover faults early. It is the process of developing models that can be used by the software practitioners in the early phases of software development life cycle for detecting ...
Sureka Sivavelu, Venkatesh Palanisamy
doaj   +1 more source

Using Tri-Relation Networks for Effective Software Fault-Proneness Prediction

IEEE Access, 2019
Software modules and developers are two core elements during the process of software development. Previous studies have shown that analyzing relations between 1) software modules; (2) developers; and (3) modules and developers, is critical to understand ...
Yihao Li, W. Eric Wong, Shou-Yu Lee, Franz Wotawa   +3 more
doaj   +1 more source

A Novel Software Reliability Growth Model Based on Generalized Imperfect Debugging NHPP Framework

IEEE Access, 2023
Non-Homogeneous Poisson Process (NHPP) is a standard framework in the field of software reliability analysis. The core of NHPP consists in determining the Mean Value Function (MVF) of cumulative error number at a specific time slot.
Hang Luo, Lijia Xu, Liang He, Landu Jiang, Ting Long   +4 more
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 Fault Prediction Using Cross-Project Analysis: A Study on Class Imbalance and Model Generalization

IEEE Access
Software fault prediction is a critical aspect of software engineering aimed at improving software quality and reliability. However, it faces significant challenges, including the class imbalance issue in fault data and the need for robust predictive ...
S. Kaliraj, A. M. Kishoore, V. Sivakumar
doaj   +1 more source

A Semi-Parametric Self-Exciting Software Reliability Model with Time-Varying Base Intensity and Shallow Neural Kernel [PDF]

International Journal of Mathematical, Engineering and Management Sciences
Software reliability modeling is essential for assessing fault-detection behavior and predicting future software failures during the testing phase.
Nanxiang Qiu, Tadashi Dohi, Jingchi Wu, Junjun Zheng, Hiroyuki Okamura   +4 more
doaj   +1 more source

Enteropathogenic E. coli shows delayed attachment and host response in human jejunum organoid‐derived monolayers compared to HeLa cells

FEBS Letters, EarlyView.
Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi, Pilar Samperio Ventayol, Natalie Burkard, Nicolas Schlegel, Carmen Aguilar, Sina Bartfeld   +5 more
wiley   +1 more source