标题
Salp swarm optimizer for modeling the software fault prediction problem
作者
关键词
-
出版物
Journal of King Saud University-Computer and Information Sciences
Volume 34, Issue 6, Pages 3365-3378
出版商
Elsevier BV
发表日期
2021-02-12
DOI
10.1016/j.jksuci.2021.01.015
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- A competitive chain-based Harris Hawks Optimizer for global optimization and multi-level image thresholding problems
- (2020) Mohamed Abd Elaziz et al. APPLIED SOFT COMPUTING
- A dynamic locality multi-objective salp swarm algorithm for feature selection
- (2020) Ibrahim Aljarah et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Ensemble mutation-driven salp swarm algorithm with restart mechanism: Framework and fundamental analysis
- (2020) Hongliang Zhang et al. EXPERT SYSTEMS WITH APPLICATIONS
- Support or Risk? Software Project Risk Assessment Model Based on Rough Set Theory and Backpropagation Neural Network
- (2019) Xiaoqing Li et al. Sustainability
- Time-varying hierarchical chains of salps with random weight networks for feature selection
- (2019) Hossam Faris et al. EXPERT SYSTEMS WITH APPLICATIONS
- A carbon price prediction model based on secondary decomposition algorithm and optimized back propagation neural network
- (2019) Wei Sun et al. JOURNAL OF CLEANER PRODUCTION
- Software defect prediction techniques using metrics based on neural network classifier
- (2018) R. Jayanthi et al. Cluster Computing-The Journal of Networks Software Tools and Applications
- A Novel Hybrid Interval Prediction Approach Based on Modified Lower Upper Bound Estimation in Combination with Multi-Objective Salp Swarm Algorithm for Short-Term Load Forecasting
- (2018) Jiyang Wang et al. Energies
- A novel approach for software defect prediction through hybridizing gradual relational association rules with artificial neural networks
- (2018) Diana-Lucia Miholca et al. INFORMATION SCIENCES
- Extracting optimal parameters of PEM fuel cells using Salp Swarm Optimizer
- (2018) Attia A. El-Fergany RENEWABLE ENERGY
- Swarm intelligence-based approach for optimal design of CMOS differential amplifier and comparator circuit using a hybrid salp swarm algorithm
- (2018) Sasikumar Asaithambi et al. REVIEW OF SCIENTIFIC INSTRUMENTS
- Metaheuristic approach for an artificial neural network: Exergetic sustainability and environmental effect of a business aircraft
- (2018) Tolga Baklacioglu et al. TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
- Parameter Estimation for Soil Water Retention Curve Using the Salp Swarm Algorithm
- (2018) Jing Zhang et al. Water
- Asynchronous accelerating multi-leader salp chains for feature selection
- (2018) Ibrahim Aljarah et al. APPLIED SOFT COMPUTING
- A Constraint-based Genetic Algorithm for Optimizing Neural Network Architectures for Detection of Loss of Coolant Accidents of Nuclear Power Plants
- (2018) David Tian et al. NEUROCOMPUTING
- An efficient salp swarm-inspired algorithm for parameters identification of photovoltaic cell models
- (2018) Rabeh Abbassi et al. ENERGY CONVERSION AND MANAGEMENT
- Metaheuristic algorithms in optimizing neural network: a comparative study for forest fire susceptibility mapping in Dak Nong, Vietnam
- (2018) Quang-Thanh Bui Geomatics Natural Hazards & Risk
- Iterated feature selection algorithms with layered recurrent neural network for software fault prediction
- (2018) Hamza Turabieh et al. EXPERT SYSTEMS WITH APPLICATIONS
- Metaheuristic design of feedforward neural networks: A review of two decades of research
- (2017) Varun Kumar Ojha et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Towards an ensemble based system for predicting the number of software faults
- (2017) Santosh Singh Rathore et al. EXPERT SYSTEMS WITH APPLICATIONS
- Software defect prediction: do different classifiers find the same defects?
- (2017) David Bowes et al. SOFTWARE QUALITY JOURNAL
- Three-way decisions based software defect prediction
- (2016) Weiwei Li et al. KNOWLEDGE-BASED SYSTEMS
- Optimization of neural network model using modified bat-inspired algorithm
- (2015) Najmeh Sadat Jaddi et al. APPLIED SOFT COMPUTING
- A systematic review of machine learning techniques for software fault prediction
- (2015) Ruchika Malhotra APPLIED SOFT COMPUTING
- Towards building a universal defect prediction model with rank transformed predictors
- (2015) Feng Zhang et al. EMPIRICAL SOFTWARE ENGINEERING
- An empirical study based on semi-supervised hybrid self-organizing map for software fault prediction
- (2015) Golnoush Abaei et al. KNOWLEDGE-BASED SYSTEMS
- Training neural networks with ant colony optimization algorithms for pattern classification
- (2014) Michalis Mavrovouniotis et al. SOFT COMPUTING
- Optimal parameters selection for BP neural network based on particle swarm optimization: A case study of wind speed forecasting
- (2013) Chao Ren et al. KNOWLEDGE-BASED SYSTEMS
- Training feedforward neural networks with dynamic particle swarm optimisation
- (2012) A. S. Rakitianskaia et al. Swarm Intelligence
- Software fault prediction: A literature review and current trends
- (2010) Cagatay Catal EXPERT SYSTEMS WITH APPLICATIONS
- Theory of relative defect proneness
- (2008) A. Güneş Koru et al. EMPIRICAL SOFTWARE ENGINEERING
- Benchmarking Classification Models for Software Defect Prediction: A Proposed Framework and Novel Findings
- (2008) S. Lessmann et al. IEEE TRANSACTIONS ON SOFTWARE ENGINEERING
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started