yusuke1997/dblp-id-title huggingface dataset:
Testing adaptation policies for software components
Comparative study of machine learning test case prioritization for continuous integration testing
Clone detection in MATLAB Stateflow models
Considerations about quality in model-driven engineering - Current state and challenges
Lessons learned from replicating a study on information-retrieval-based test case prioritization
Compiler Hacking for Source Code Analysis
ASTERIX Introduction of a Process Improvement Using Tools to Support System Testing
Evaluating perceived and estimated data quality for Web 2.0 applications: a gap analysis
Who tested my software? Testing as an organizationally cross-cutting activity
Investigating relationships between functional coupling and the energy efficiency of embedded software
Factors affecting the quality of software project management: an empirical study based on the Capability Maturity Model
Slicing, Chopping, and Path Conditions with Barriers
Toward prioritization of self-admitted technical debt: an approach to support decision to payment
A dynamic random testing strategy in the context of cloud computing
Examining the Effect of the Transformational Leader on Software Quality
Coupling Trends in Industrial Prototyping Roles: An Empirical Investigation
Multi-view refactoring of class and activity diagrams using a multi-objective evolutionary algorithm
On the applicability of capability models for small software organizations: does the use of standard processes lead to a better achievement of business goals?
KAD: a knowledge formalization-based anomaly detection approach for distributed systems
Integrated multi-view modeling for reliable machine learning-intensive software engineering
Cost estimation for cross-organizational ERP projects: research perspectives
Learning and statistical model checking of system response times
RETORCH: an approach for resource-aware orchestration of end-to-end test cases
Evaluating pattern conformance of UML models: a divide-and-conquer approach and case studies
Does maintainability relate to the energy consumption of software? A case study
Testing of model-driven development applications
Performance assessment of intelligent distributed systems through software performance ontology engineering (SPOE)
Measuring the quality of the development lifecycle process
A proposal for a set of attributes relevant for Web portal data quality
A method to evaluate quality of modelling languages based on the Zachman reference taxonomy
A public unified bug dataset for java and its assessment regarding metrics and bug prediction
Invalid bug reports complicate the software aging situation
Enhancing software development education through gamification and experiential learning with genially
Enhancing input value selection in parametric software cost estimation models through second level cost drivers
From omelet to UML: assessing the role of process thinking on process model quality among novice analyst
Model-based test execution from high-level natural language instructions using GPT-4
Verification supported refactoring of embedded sql
Six Sigma for Software Application of Hypothesis Tests to Software Data
The effectiveness of test-driven development: an industrial case study
A survey on software aging and rejuvenation in the cloud
Identification and analysis of attributes and base measures within ISO 9126
Using communication coverage criteria and partial model generation to assist software integration testing
Ontology-based automated support for goal-use case model analysis
A quantitative approach for setting technical targets based on impact analysis in software quality function deployment (SQFD)
Fail-safe testing of safety-critical systems: a case study and efficiency analysis
Using case-control study to explain software fault-proneness
FLAME-JIT: Fine-grained localization of application mobile defects at just-in-time
APOGEN: automatic page object generator for web testing
Guest editor's introduction to the special section on source code analysis and manipulation
Pairwise testing for software product lines: comparison of two approaches
Analysis of service diagnosis improvement through increased monitoring granularity
Test case prioritization: a systematic mapping study
API trustworthiness: an ontological approach for software library adoption
A comparative study for estimating software development effort intervals
SPL Conqueror: Toward optimization of non-functional properties in software product lines
TestDCat 3.0: catalog of test debt subtypes and management activities
Project managers in global software development teams: a study of the effects on productivity and performance
Model-driven estimation approach for system reliability using integrated tasks and resources
Comparison of a textual versus a graphical notation for the maintainability of MDE domain models: an empirical pilot study
What you like in design use to correct bad-smells
Risk analysis of software process measurements
ConData: A Tool for Automating Specification-Based Test Case Generation for Communication Systems
Introduction of static quality analysis in small- and medium-sized software enterprises: experiences from technology transfer
Assessing the maintainability of software product line feature models using structural metrics
What are the characteristics of popular APIs? A large-scale study on Java, Android, and 165 libraries
Usability Meanings and Interpretations in ISO Standards
Timing consistency checking for UML/MARTE behavioral models
Model-based test case generation from UML sequence diagrams using extended finite state machines
Automatic software code repair using deep learning techniques
Composing multiple variability artifacts to assemble coherent workflows
Automatically generating taxonomy for grouping app reviews - a study of three apps
A conceptual modeling quality framework
A Case Study in Software Reuse
An empirical study of factors affecting cross-project aging-related bug prediction with TLAP
Risk factors in software development projects: a systematic literature review
Thanks to Jim Bieman, the Former Editor-in-Chief of the Software Quality Journal
Software fault prediction using deep learning techniques
Standardized code quality benchmarking for improving software maintainability
Supporting the identification of prevalent quality issues in code changes by analyzing reviewers' feedback
Predictive framework of software reliability analysis under multiple change points and imperfect debugging
Automating unit and integration testing with partial oracles
Using aspects for testing of embedded software: experiences from two industrial case studies
Integrating fuzzy theory and hierarchy concepts to evaluate software quality
Quality-centric security pattern mutations
Guest editorial: special section on regression testing
Targets, drivers and metrics in software process improvement: Results of a survey in a multinational organization
The bug report duplication problem: an exploratory study
A Design Phase Directed Formal Verification Process
Data Mining of Software Development Databases
Graphical versus textual software measurement modelling: an empirical study
Election software exposed
Special section on software clones
Hybrid genetic algorithm and simulated annealing for two-dimensional non-guillotine rectangular packing problems
Fuzzy theory applied in quality management of distributed manufacturing system: A literature review and classification
A novel helicopter flight action recognition method based on flight parameter data processing
Solving quay wall allocation problems based on deep reinforcement learning
A novel lightweight model combined with convolutional neural network and transformer for gearbox fault diagnosis using infrared thermal images
Fast multiplicative fuzzy partition C-means clustering with a new membership scaling scheme
Multi-agent reinforcement learning for vibration control of regenerative active suspension
A novel Koopman-based Assistant Features Network for long and short-term carbon emission prediction
An adaptive optimization technique for dynamic environments
SReResNet: A stage recursive residual network for suppressing semantic redundancy during feature extraction
A multi-agent architecture for supporting distributed normality-based intelligent surveillance
Deep learning based simulators for the phosphorus removal process control in wastewater treatment via deep reinforcement learning algorithms
Power prediction for electric vehicles using online machine learning
Computational procedure for optimum shape design based on chained Bezier surfaces parameterization
SUNET: Speaker-utterance interaction Graph Neural Network for Emotion Recognition in Conversations
A self-iterative learning with dual attention mechanism fusion method for pumpkin seed quality equipment
An efficient and scalable family of algorithms for combining clusterings
Gaussian process regression for forward and inverse kinematics of a soft robotic arm
Toward transforming space exploration with artificial intelligence neuromorphic computing
Model reconstruction and update method for dynamic prediction of loader loading resistance using deep incremental learning
Dynamic region-aware transformer backbone network for visual tracking
CCNet: Collaborative Camouflaged Object Detection via decoder-induced information interaction and supervision refinement network
Quality evaluation of the forecasting system for the Polish Timescale by means of the Group Method of Data Handling type neural network
A Feedback-Enhanced Two-Stage Framework for judicial machine reading comprehension
A parallel ensemble optimization and transfer learning based intelligent fault diagnosis framework for bearings
Graph Neural Networks (GNNs) based accelerated numerical simulation
Predicting web user behavior using learning-based ant colony optimization
Adaptive attention graph convolution network with normalized embedded Gaussian for rapid serial visualization presentation decoding
Coal allocation optimization based on a hybrid residual prediction model with an improved genetic algorithm
Tree Growth Algorithm (TGA): A novel approach for solving optimization problems
Automatic weighted ensemble learning for ballast resistance estimation driven by vehicle-ground information fusion
Optimal cloud service provider selection: An MADM framework on correlation-based TOPSIS with interval-valued q-rung orthopair fuzzy soft set
Assessing the morphological quality of Zizania latifolia shoot based on instance segmentation
Fault detection with Conditional Gaussian Network
A heterogeneous transfer learning method for fault prediction of railway track circuit
Stable genetic adaptive controllers for multivariable systems using a two-degree-of-freedom topology
Multi-view clustering using a flexible and optimal multi-graph fusion method
Multi-path residual attention network for cancer diagnosis robust to a small number of training data of microscopic hyperspectral pathological images
Promoting sustainable urban mobility: An integrated fuzzy decision-making model for assessing autonomous bus alternatives
Long-term deep reinforcement learning for real-time economic generation control of cloud energy storage systems with varying structures
A critical systematic review of machine learning based models for water leak detection using vibroacoustic technology
A single Bayesian network classifier for monitoring with unknown classes
Flight regimes recognition in actual operating conditions: A functional data analysis approach
Mamba Adaptive Anomaly Transformer with association discrepancy for time series
TGM-Nets: A deep learning framework for enhanced forecasting of tumor growth by integrating imaging and modeling
Exploring fuzzy set consensus analysis in IoT resource ranking
Hybrid fuzzy support vector machine approach for Coconut tree classification using image measurement
A computational model of the car driver interfaced with a simulation platform for future Virtual Human Centred Design applications: COSMO-SIVIC
ClusFuDE: Forecasting low dimensional numerical data using an improved method based on automatic clustering, fuzzy relationships and differential evolution
Strength prediction of recycled concrete using hybrid artificial intelligence models with Gaussian noise addition
Adversarial domain adaptation network with pseudo-siamese feature extractors for cross-bearing fault transfer diagnosis
A survey on machine learning methods for food safety risk assessment: Approaches, challenges, and future outlook
Bi-spectral concealed object detection with attention-based fusion of passive thermal infrared and terahertz imaging
TERRA: A path planning algorithm for cooperative UGV-UAV exploration
Enhancing the absolute positioning accuracy of welding robots based on joint error compensation
PV-TONS: A photovoltaic technology ontology system for the design of PV-systems
Hybrid traffic flow prediction model for emergency scenarios with scarce historical data
Evaluation of environmental emergency treatment technologies using the interval Pythagorean neutrosophic set
Improved you only look once for weed detection in soybean field under complex background
Defect recognition in sonic infrared imaging by deep learning of spatiotemporal signals
An interpretable data-driven approach for customer purchase prediction using cost-sensitive learning
BoA-SQL: Executable Blueprint-of-Action for Text-to-SQL with reinforcement learning
A reinforcement learning approach to dynamic resource allocation
Enhanced targeted attacks on Graph Neural Networks via Average Gradient and Perturbation Optimization
Dual-graph regularized non-negative matrix factorization with sparse and orthogonal constraints
An improvement in data interpretation to estimate residual stresses and mechanical properties using instrumented indentation: A comparison between machine learning and Kriging model
Designing fuzzy controllers with variable universes of discourse using input-output data
New imbalanced fault diagnosis framework based on Cluster-MWMOTE and MFO-optimized LS-SVM using limited and complex bearing data
Not all samples are equal: Boosting action segmentation via selective incremental learning
Multi-scale spatial pyramid attention mechanism for image recognition: An effective approach
On confidence computation and calibration of deep support vector data description
RISE : Privacy preserved data analytics using Regularized Inference Specific autoEncoder
Differential Evolution with fitness-difference based parameter control and hypervolume diversity indicator for numerical optimization
Optimization of reward shaping function based on genetic algorithm applied to a cross validated deep deterministic policy gradient in a powered landing guidance problem
Machine learning based state observer for discrete time systems evolving on Lie groups
Efficient mining of high utility itemsets with multiple minimum utility thresholds
Shortening the gap between pre- and post-layout analog IC performance by reducing the LDE-induced variations with multi-objective simulated quantum annealing
Dynamic model-driven intelligent fault diagnosis method for rotary vector reducers
Enhancing generalization in Sickle Cell Disease diagnosis through ensemble methods and feature importance analysis
Machine learning-driven feature importance appraisal of seismic parameters on tunnel damage and seismic fragility prediction
ResNet and Yolov5-enabled non-invasive meat identification for high-accuracy box label verification
Fault diagnosis of multi-unit nonlinear industrial processes based on a global-local attention convolutional neural network
Connection admission control of MPEG streams in ATM network using hierarchical fuzzy logic controller
The promise of convolutional neural networks for the early diagnosis of the Alzheimer's disease
Feature selection based on the center of gravity of BSWFMs using NEWFM
3D facial expression recognition using kernel methods on Riemannian manifold
Autonomous Unmanned Aerial Vehicle navigation using Reinforcement Learning: A systematic review
Association of white matter volume with brain age classification using deep learning network and region wise analysis
Advancements in collision avoidance techniques for internet-connected vehicles: A comprehensive review of methods and challenges
A hybrid model of an artificial neural network with thermodynamic model for system diagnosis of electrical power plant gas turbine
Adaptive manifold partial domain adaptation for fault transfer diagnosis of rotating machinery
A global-local relational graph attention networks for aspect-level sentiment analysis
An integrated p,q-quasirung orthopair fuzzy decision-making approach for strategic selection of competitive intelligence platforms
A novel intelligent monitoring method for the closing time of the taphole of blast furnace based on two-stage classification
Deep learning framework-based 3D shape reconstruction of tanks from a single RGB image
Multiscale Gaussian process regression-based generalized likelihood ratio test for fault detection in water distribution networks
A modified particle swarm optimization for multimodal multi-objective optimization
Exploring pharmacological therapies through complex q-rung picture fuzzy Aczel-Alsina prioritized ordered operators in adverse drug reaction analysis
A novel multistart hyper-heuristic algorithm on the grid for the quadratic assignment problem
Spatial-temporal modeling for multi-scale wind speed predictions in rail transit networks: A graph neural network-based methodology
A lightweight and robust detection network for diverse glass surface defects via scale- and shape-aware feature extraction
Deep subdomain generalisation network for health monitoring of high-speed train brake pads
Semi-heterarchical control of FMS: From theory to application
Identifying the module structure of swarms using a new framework of network-based time series clustering
A learning-based thresholding method customizable to computer vision applications
Corrigendum to "Chattering existence and attenuation in fuzzy-based sliding mode control" [Eng. Appl. Artif. Intell. 61 (2017) 152-160]
A GMDH neural network-based approach to passive robust fault detection using a constraint satisfaction backward test
A survey on reinforcement learning in aviation applications
Cascade fusion of multi-modal and multi-source feature fusion by the attention for three-dimensional object detection
Novel informative feature samples extraction model using cell nuclear pore optimization
Machine learning for disease-specific prediction of high-cost patients
Evolutionary neural networks and DNA computing algorithms for dual-axis motion control
MVIFSA: Enhancing relation detection in knowledge base question answering through multi-view information fusion and self-attention
Knowledge addition for improving the transfer learning from the laboratory to identify defects of hydraulic machinery
A novel local enhanced channel self-attention based on Transformer for industrial remaining useful life prediction
Robust semi-supervised learning with reciprocal weighted mixing distribution alignment
Spatio-temporal graph interaction networks for teacher behavior description in classroom scene
Assessing fractal dimension methods as feature extractors for EMG signal classification
A novel hybrid gravitational search particle swarm optimization algorithm
Do they like your game? Early-stage churn prediction using a two-phase neural network system
A feature selection method driven by fuzzy implication granularity
Combustion state identification of MSWI processes using ViT-IDFC
Modeling of nonlinear supply chain management with lead-times based on Takagi-Sugeno fuzzy control model
Metamodel assisted optimization of glued laminated timber beams by using metaheuristic algorithms
Advanced strategies on update mechanism of Sine Cosine Optimization Algorithm for feature selection in classification problems
Few-shot remaining useful life prediction based on Bayesian meta-learning with predictive uncertainty calibration
A review on video summarization techniques
A study on the network traffic of Connexion by Boeing: Modeling with artificial neural networks
Unified Bayesian representation for high-dimensional multi-modal biomedical data for small-sample classification
Fire detection in video surveillances using convolutional neural networks and wavelet transform
FAST-AlertNet: Early warning fire-induced collapse of large-span steel truss structures
Hierarchical federated learning with local model embedding
Comprehensive evaluation of rural regional integrated clean energy systems considering multi-subject interest coordination with pythagorean fuzzy information
Domain adaptation via Transferable Swin Transformer for tire defect detection
A novel method for predicting plant leaf disease based on machine learning and deep learning techniques
Electric bus energy prediction and factors interactions using explainable machine learning models
A Single-residual Partial Mutual Information (SPMI) approach to learning discrete-time inputs of stable nonlinear dynamic systems
Assessing project portfolio risk via an enhanced GA-BPNN combined with PCA
Analysis of electricity consumption profiles in public buildings with dimensionality reduction techniques
An intelligent system for wafer bin map defect diagnosis: An empirical study for semiconductor manufacturing
Generative adversarial network-based inverse design of self-deploying soft kirigami composites for targeted shape transformation
Improving semi-empirical equations of ultimate bearing capacity of shallow foundations using soft computing polynomials
Improved continuous Ant Colony Optimization algorithms for real-world engineering optimization problems
Artificial neural network model based on Kolmogorov-Arnold representation theorem and retention mechanism for real-time aircraft flight phases classification
Hierarchical delay-memory echo state network: A model designed for multi-step chaotic time series prediction
Recent text-based research and applications in railways: A critical review and future trends
Trustworthy requirements for foundation models - A comprehensive survey and roadmap
Incorporating prior knowledge of collision risk into deep learning networks for ship trajectory prediction in the maritime Internet of Things industry
Transformer Autoencoder for K-means Efficient clustering
Automatic bearing fault diagnosis using particle swarm clustering and Hidden Markov Model
Multi-perspective conformance checking of uncertain process traces: An SMT-based approach
Design and evaluation of adaptive deep learning models for weather forecasting
Metaheuristic algorithms with solution encoding mixing for effective optimization of SDM optical networks
Combined weighted multi-objective optimizer for instance reduction in two-class imbalanced data problem
Reading comprehension powered semantic fusion network for identification of N-ary drug combinations
Robust memory-based graph neural networks for noisy and sparse graphs
Intelligent traffic accident detection system in complex dynamic scenarios based on the dual-stream spatiotemporal-fusion model
Deep supervision feature refinement attention network for medical image segmentation
Annual production budget in the beverage industry
Online nonparametric identification modeling of ship maneuvering motion based on PSO-optimized incremental Gaussian mixture model
Coherent virtual machine provisioning based on balanced optimization using entropy-based conjectured scheduling in cloud environment
A clustering based feature selection method in spectro-temporal domain for speech recognition
Gaze-aware hand gesture recognition for intelligent construction
Federated continual representation learning for evolutionary distributed intrusion detection in Industrial Internet of Things
A transfer learning-based plate shape prediction model with limited samples for roller quenching process
An efficient approach for mining sequential patterns using multiple threads on very large databases
Deep Gaussian mixture adaptive network for robust soft sensor modeling with a closed-loop calibration mechanism
Cross-city and predictive resilience assessment for urban traffic networks via transfer learning