Zobrazeno 1 - 10
of 1 986
pro vyhledávání: '"Software defect"'
Publikováno v:
International Journal of Web Information Systems, 2024, Vol. 20, Issue 6, pp. 621-638.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJWIS-07-2024-0200
Publikováno v:
Journal of Applied Informatics and Computing, Vol 8, Iss 2, Pp 472-477 (2024)
Software Defect Prediction Dataset as a component of the Software Defect Prediction model has a very vital role. However, NASA Software Defect Prediction has a problem with imbalance in minority data. This study compares the performance of oversampli
Externí odkaz:
https://doaj.org/article/3a8346352c804110a84bd982ff71f9d1
Autor:
Zhizheng Dang, Hui Wang
Publikováno v:
Journal of Engineering and Applied Science, Vol 71, Iss 1, Pp 1-34 (2024)
Abstract In large-scale software development, the increasing complexity of software products poses a daunting challenge to maintaining software quality. Given this challenge, software fault prediction (SFP) is a critical endeavor for effective budget
Externí odkaz:
https://doaj.org/article/311d53ce61c44e4e82241a1fb02d792f
Publikováno v:
Frontiers in Artificial Intelligence, Vol 7 (2024)
The COVID-19 pandemic marked a before and after in the business world, causing a growing demand for applications that streamline operations, reduce delivery times and costs, and improve the quality of products. In this context, artificial intelligenc
Externí odkaz:
https://doaj.org/article/823fb8e9a8d34991bac8c6a7957e87f5
Publikováno v:
International Journal of Intelligent Computing and Cybernetics, 2024, Vol. 17, Issue 2, pp. 436-464.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJICC-11-2023-0385
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-16 (2024)
Abstract Software Defect Detection (SDD) has always been critical to the development life cycle. A stable defect detection system can not only alleviate the workload of software testers but also enhance the overall efficiency of software development.
Externí odkaz:
https://doaj.org/article/587da49a4ff544668dbcb94f78fb0fd9
Autor:
A. J. Anju, J. E. Judith
Publikováno v:
Journal of Engineering and Applied Science, Vol 71, Iss 1, Pp 1-21 (2024)
Abstract To address the challenges associated with the abundance of features in software datasets, this study proposes a novel hybrid feature selection method that combines quantum particle swarm optimization (QPSO) and principal component analysis (
Externí odkaz:
https://doaj.org/article/06da58a4dd7c4441a50b488d82a468fb
Autor:
Muhammad Yoga Adha Pratama, Rudy Herteno, Mohammad Reza Faisal, Radityo Adi Nugroho, Friska Abadi
Publikováno v:
JOIN: Jurnal Online Informatika, Vol 9, Iss 1, Pp 52-60 (2024)
Software defect prediction (SDP) is used to identify defects in software modules that can be a challenge in software development. This research focuses on the problems that occur in Particle Swarm Optimization (PSO), such as the problem of noisy attr
Externí odkaz:
https://doaj.org/article/ffe3f3dbe1d147e88f2c9903ba03645c
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 24, Iss 2, Pp 222-229 (2024)
The goal of this study is to predict a software error using Long Short-Term Memory (LSTM). The suggested system is an LSTM taught using the Whale Optimization Algorithm to save training time while improving deep learning model efficacy and detectio
Externí odkaz:
https://doaj.org/article/edbd8cdea9f04a1783d722c83e2fb157
Autor:
Malhotra, Ruchika, Singh, Priya ⁎
Publikováno v:
In Information and Software Technology March 2025 179