yusuke1997/dblp-id-title huggingface dataset:
Cryptographically Strong Undeniable Signatures, Unconditionally Secure for the Signer
Universal Constructions and Robust Combiners for Indistinguishability Obfuscation and Witness Encryption
Toward Practical Lattice-Based Proof of Knowledge from Hint-MLWE
Cryptanalysis of Full LowMC and LowMC-M with Algebraic Techniques
The Importance of "Good" Key Scheduling Schemes (How to Make a Secure DES Scheme with <= 48 Bit Keys)
Impossibility and Feasibility Results for Zero Knowledge with Public Keys
Committed Oblivious Transfer and Private Multi-Party Computation
Formal Verification of Saber's Public-Key Encryption Scheme in EasyCrypt
Improved Differential-Linear Attacks with Applications to ARX Ciphers
Accelerating HE Operations from Key Decomposition Technique
On the Implausibility of Differing-Inputs Obfuscation and Extractable Witness Encryption with Auxiliary Input
Two-Message, Oblivious Evaluation of Cryptographic Functionalities
Fixing and Mechanizing the Security Proof of Fiat-Shamir with Aborts and Dilithium
A Note on Secure Computation of the Moore-Penrose Pseudoinverse and Its Application to Secure Linear Algebra
Zero-Knowledge With Finite State Verifiers
A Randomized Protocol for Signing Contracts
Structured Encryption and Leakage Suppression
Indistinguishability Obfuscation and UCEs: The Case of Computationally Unpredictable Sources
Strengthening Digital Signatures Via Randomized Hashing
Quantum Position Verification in the Random Oracle Model
Near-Linear Unconditionally-Secure Multiparty Computation with a Dishonest Minority
Testability Transformation - Program Transformation to Improve Testability
Modelling the Effects of Combining Diverse Software Fault Detection Techniques
Testing Data Types Implementations from Algebraic Specifications
The Test Technology TTCN-3
Model Based Testing with Labelled Transition Systems
From MC/DC to RC/DC: Formalization and Analysis of Control-Flow Testing Criteria
Coverage Criteria for State Based Specifications
Comparing the Effectiveness of Testing Techniques
Model-Based Testing of Object-Oriented Reactive Systems with Spec Explorer
Testing in the Distributed Test Architecture
Formal Methods and Testing, An Outcome of the FORTEST Network, Revised Selected Papers
Testing Real-Time Systems Using UPPAAL
Testing from X-Machine Specifications
Hybrid Model Based on Rough Sets Theory and Fuzzy Cognitive Maps for Decision-Making
Attribute Subset Quality Functions over a Universe of Weighted Objects
Hierarchical Rough Classifiers
A Summary Structure of Data Cube Preserving Semantics
On Granular Rough Computing: Factoring Classifiers Through Granulated Decision Systems
Graph-Based Knowledge Representations for Decision Support Systems
Dominance-Based Rough Set Approach to Reasoning About Ordinal Data
Mining Numerical Data - A Rough Set Approach
Discovering Collocation Rules and Spatial Association Rules in Spatial Data with Extended Objects Using Delaunay Diagrams
Rough Set Theory from a Math-Assistant Perspective
Monotonic Uncertainty Measures in Probabilistic Rough Set Model
Applying Rough Set Theory to Medical Diagnosing
A Rough Set Based Map Granule
From Vagueness to Rough Sets in Partial Approximation Spaces
Rough Sets in the Interpretation of Statistical Tests Outcomes for Genes Under Hypothetical Balancing Selection
Parameter-Based Categorization for Musical Instrument Retrieval
The Diffie-Hellman Problem in Lie Algebras
Clustering of Leaf-Labelled Trees on Free Leafset
On Three Closely Related Rough Inclusion Functions
3D Dendrite Spine Detection - A Supervoxel Based Approach
Attribute Core Computation Based on Divide and Conquer Method
Optimization of Decision Rules Relative to Coverage - Comparative Study
Mining Association Rules with Respect to Support and Anti-support-Experimental Results
Developing Data Warehouse for Simulation Experiments
Dimensionality Reduction Using Rough Set Approach for Two Neural Networks-Based Applications
On Covering Attribute Sets by Reducts
A Rough Set Approach to Novel Compounds Activity Prediction Based on Surface Active Properties and Molecular Descriptors
Granulation of Knowledge in Decision Systems: The Approach Based on Rough Inclusions. The Method and Its Applications
Rough Set Approach to Spam Filter Learning
Optimization for MASK Scheme in Privacy Preserving Data Mining for Association Rules
Outlier Detection: An Approximate Reasoning Approach
Robust Ordinal Regression for Dominance-Based Rough Set Approach under Uncertainty
Fast Discovery of Minimal Sets of Attributes Functionally Determining a Decision Attribute
The Relational Construction of Conceptual Patterns - Tools, Implementation and Theory
Minimal Templates and Knowledge Discovery
Filtering and Sophisticated Data Processing for Web Information Gathering
Linguistic Summarization of Time Series Under Different Granulation of Describing Features
Rough Sets in Oligonucleotide Microarray Data Analysis
Review on Context Classification in Robotics
Managing Depth Information Uncertainty in Inland Mobile Navigation Systems
Software Defect Classification: A Comparative Study with Rough Hybrid Approaches
Memory Efficient Algorithm for Mining Recent Frequent Items in a Stream
Modeling of High Quality Granules
A Definition of Structured Rough Set Approximations
Type-2 Fuzzy Summarization of Data: An Improved News Generating
Consistency-Degree Between Knowledges
Rough Sets and Approximation Schemes
On Logic with Fuzzy and Rough Powerset Monads
Rough Sets in Ortholog Gene Detection - Selection of Feature Subsets and Case Reduction Considering Imbalance
Mobile Indicators in GIS and GPS Positioning Accuracy in Cities
Mining Mass Spectrometry Database Search Results - A Rough Set Approach
Discovering Compound and Proper Nouns
A Computationally Efficient Nonlinear Predictive Control Algorithm with RBF Neural Models and Its Application
Analysis of the Possibility of Using Radar Tracking Method Based on GRNN for Processing Sonar Spatial Data
Generating Core in Rough Set Theory: Design and Implementation on FPGA
MedVir: An Interactive Representation System of Multidimensional Medical Data Applied to Traumatic Brain Injury's Rehabilitation Prediction
An Improved SVM Classifier for Medical Image Classification
Discrete Duality and Its Applications to Reasoning with Incomplete Information
Supporting the Process of Monument Classification Based on Reducts, Decision Rules and Neural Networks
Design and Implementation of Rough Rules Generation from Logical Rules on FPGA Board
Category-Based Rough Induction
Decision Rule Classifiers for Multi-label Decision Tables
Attribute Reduction Based on Fuzzy Rough Sets
Granular Computing and Rough Set Theory
Searching for Metric Structure of Musical Files
Cost-Sensitive Sequential Three-Way Decision for Face Recognition
Indiscernibility Relation for Continuous Attributes: Application in Image Recognition
Semantic Service Discovery with QoS Measurement in Universal Network
Decision Rules-Based Probabilistic MCDM Evaluation Method - An Empirical Case from Semiconductor Industry
Decision Tables in Petri Net Models
Toward Approximate Adaptive Learning
Optimal Scale in a Hierarchical Segmentation Method for Satellite Images
An Investigation of Human Problem Solving System: Computation as an Example
A Learning-Based Model for Semantic Mapping from Natural Language Questions to OWL
A Note on Granular Sets and Their Relation to Rough Sets
Monotonic Behavior of Entropies and Co-entropies for Coverings with Respect to Different Quasi-orderings
MIRAI: Multi-hierarchical, FS-Tree Based Music Information Retrieval System
Applications of Boolean Kernels in Rough Sets
Dependencies in Structures of Decision Tables
Dynamics of Approximate Information Fusion
Covering Based Rough Sets and Relation Based Rough Sets
A Grey-Rough Set Approach for Interval Data Reduction of Attributes
Rough Sets and Intelligent Systems Paradigms - Second International Conference, RSEISP 2014, Held as Part of JRS 2014, Granada and Madrid, Spain, July 9-13, 2014. Proceedings
Random Probes in Computation and Assessment of Approximate Reducts
Considerations on Rule Induction Procedures by STRIM and Their Relationship to VPRS
Towards Agent-Based Evolutionary Planning in Transportation Systems
Rough Sets and Intelligent Systems Paradigms, International Conference, RSEISP 2007, Warsaw, Poland, June 28-30, 2007, Proceedings
Medical Reasoning and Rough Sets
A Simple Reduction Analysis and Algorithm Using Rough Sets
Transformation of Fuzzy Takagi-Sugeno Models into Piecewise Affine Models
Frequent Events and Epochs in Data Stream
Two Types of Generalized Variable Precision Formal Concepts
Certain, Generalized Decision, and Membership Distribution Reducts Versus Functional Dependencies in Incomplete Systems
Self-organizing Artificial Neural Networks into Hydrographic Big Data Reduction Process
Finding the Reduct Subject to Preference Order of Attributes
Automatic Singing Voice Recognition Employing Neural Networks and Rough Sets
On Granular Rough Computing with Missing Values
Meta-learning: Can It Be Suitable to Automatise the KDD Process for the Educational Domain?
Applying Rough Sets to Data Tables Containing Missing Values
Application of Parallel Decomposition for Creation of Reduced Feed-Forward Neural Networks
SnS: A Novel Word Sense Induction Method
Universal Attribute Reduction Problem
Exploiting Rough Argumentation in an Online Dispute Resolution Mediator
Attribute Ranking Driven Filtering of Decision Rules
The Art of Granular Computing
Web-Based Support Systems with Rough Set Analysis
Interpreting Low and High Order Rules: A Granular Computing Approach
Formulation and Simplification of Multi-Granulation Covering Rough Sets
Generalizing Data in Natural Language
SQL-Based KDD with Infobright's RDBMS: Attributes, Reducts, Trees
Combining Answers of Sub-classifiers in the Bagging-Feature Ensembles
Set Operations for L -Fuzzy Sets
Operations on Interval Matrices
Interactive Computations on Complex Granules
Rough Sets and Vague Sets
Interestingness Measures for Actionable Patterns
Image Enhancement Based on Quotient Space
Evaluation of Leave-One Out Method Based on Incremental Sampling Scheme
Inference and Reformation in Flow Graphs Using Granular Computing
Histogram of Bunched Intensity Values Based Thermal Face Recognition
The Impact of Local Data Characteristics on Learning from Imbalanced Data
Classification of Complex Structured Objects on the Base of Similarity Degrees
From an Information System to a Decision Support System
Coevolution of a Fuzzy Rule Base for Classification Problems
Discovering Synonyms Based on Frequent Termsets
Analysis of a Dobutamine Stress Echocardiography Dataset Using Rough Sets
Checking Brain Expertise Using Rough Set Theory
Potential Application of the Rough Set Theory in Indoor Navigation
Learning to change projects
Proceedings of the 6th International Conference on Predictive Models in Software Engineering, PROMISE 2010, Timisoara, Romania, September 12-13, 2010
Workload-aware reviewer recommendation using a multi-objective search-based approach
Leveraging LLMs for User Stories in AI Systems: UStAI Dataset
Practical considerations in deploying AI for defect prediction: a case study within the Turkish telecommunication industry
Practical use of defect detection and prediction in the development and maintenance of software
Software defect prediction using tree-based ensembles
Adapting a fault prediction model to allow inter languagereuse
Sensitivity of results to different data quality meta-data criteria in the sample selection of projects from the ISBSG dataset
From Reports to Bug-Fix Commits: A 10 Years Dataset of Bug-Fixing Activity from 55 Apache's Open Source Projects
Decision Support Analysis for Software Effort Estimation by Analogy
StatREC: a graphical user interface tool for visual hypothesis testing of cost prediction models
An Empirical Evaluation of Distribution-based Thresholds for Internal Software Measures
Longitudinal analysis of long-timescale open source repository data
Can we build software faster and better and cheaper?
Defect cost flow model: a Bayesian network for predicting defect correction effort
Confidence in software cost estimation results based on MMRE and PRED
Proceedings of the 20th International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2024, Porto de Galinhas, Brazil, 16 July 2024
A Combined Approach to Performance Regression Testing Resource Usage Reduction
Social metrics included in prediction models on software engineering: a mapping study
Programmer-based fault prediction
Handling missing data in software effort prediction with naive Bayes and EM algorithm
Proceedings of the 18th International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2022, Singapore, Singapore, 17 November 2022
PROMISE '21: 17th International Conference on Predictive Models and Data Analytics in Software Engineering, Athens Greece, August 19-20, 2021
Mining Communication Patterns in Software Development: A GitHub Analysis
Studying the fix-time for bugs in large open source projects
Do Developers Fix Continuous Integration Smells?
An Empirical Study of Crash-inducing Commits in Mozilla Firefox
Web effort estimation: the value of cross-company data set compared to single-company data set
Comparing negative binomial and recursive partitioning models for fault prediction
Are comprehensive quality models necessary for evaluating software quality?
Which Refactoring Reduces Bug Rate?
Code Authorship and Fault-proneness of Open-Source Android Applications: An Empirical Study
Comparing Word-Based and AST-Based Models for Design Pattern Recognition
On the Terms Within- and Cross-Company in Software Effort Estimation
An analysis of multi-objective evolutionary algorithms for training ensemble models based on different performance measures in software effort estimation
Using Bayesian Networks to estimate Strategic Indicators in the context of Rapid Software Development
The role of the measure of functional complexity in effort estimation
Model Review: A PROMISEing Opportunity
Usage of multiple prediction models based on defect categories
On the influence of maintenance activity types on the issue resolution time
Patterns of Effort Contribution and Demand and User Classification based on Participation Patterns in NPM Ecosystem
An Empirical Study of Metric-based Comparisons of Software Libraries
Global Sensitivity Analysis of Predictor Models in Software Engineering
Graph Neural Network vs. Large Language Model: A Comparative Analysis for Bug Report Priority and Severity Prediction
Nothing else matters: what predictive model should I use?
Evaluating hyper-parameter tuning using random search in support vector machines for software effort estimation
Are change metrics good predictors for an evolving software product line?
Comparing the performance of fault prediction models which report multiple performance measures: recomputing the confusion matrix
The Technical Debt Dataset
Identifying key developers using artifact traceability graphs
9th International Conference on Predictive Models in Software Engineering, PROMISE '13, Baltimore, MD, USA, October 9, 2013
Seven habits of highly impactful empirical software engineers
Column Pruning Beats Stratification in Effort Estimation
Prioritising GitHub Priority Labels
The FormAI Dataset: Generative AI in Software Security through the Lens of Formal Verification
Data sets and data quality in software engineering
Case-based reasoning vs parametric models for software quality optimization
Software analytics = sharing information
Large Scale Study of Orphan Vulnerabilities in the Software Supply Chain
Using evidential reasoning to make qualified predictions of software quality
Proceedings of the 21st International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2025, Trondheim, Norway, 26 June 2025
A Replication of Comparative Study of Moving Windows on Linear Regression and Estimation by Analogy
Cross-Version Defect Prediction using Cross-Project Defect Prediction Approaches: Does it work?
Does measuring code change improve fault prediction?
Convertibility of functional size measurements: new insights and methodological issues
Reviewer Recommendation using Software Artifact Traceability Graphs
Proceedings of the 19th International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2023, San Francisco, CA, USA, 8 December 2023
Measuring design compliance using neural language models: an automotive case study
Smarter Project Selection for Software Engineering Research
An investigation of the effect of module size on defect prediction using static measures
BuggIn: Automatic Intrinsic Bugs Classification Model using NLP and ML
Future challenges for software data collection and analysis
A Longitudinal Study of Anti Micro Patterns in 113 versions of Tomcat
Predicting Fairness of ML Software Configurations
Identifying security-related requirements in regulatory documents based on cross-project classification
An empirical evaluation of outlier deletion methods for analogy-based cost estimation
Feature subset selection can improve software cost estimation accuracy
A Curated Benchmark Collection of Python Systems for Empirical Studies on Software Engineering
Can cross-company data improve performance in software effort estimation?
On Usefulness of the Deep-Learning-Based Bug Localization Models to Practitioners
Modeling success in FLOSS project groups
Replication of defect prediction studies: problems, pitfalls and recommendations
A Large-Scale Study of Modern Code Review and Security in Open Source Projects
A proposed method to evaluate and compare fault predictions across studies
Training data selection for cross-project defect prediction
Fault-insertion and fault-fixing: analysing developer activity over time
Comparative study of random search hyper-parameter tuning for software effort estimation
An analysis of data sets used to train and validate cost prediction systems
Heterogeneous ensemble imputation for software development effort estimation
Revisiting the evaluation of defect prediction models
A classification of code changes and test types dependencies for improving machine learning based test selection
A systematic review of web resource estimation
Simple software cost analysis: safe or unsafe?
A baseline method for search-based software engineering
From software engineer to day trader in 3 easy steps: a comparison of software engineering (SE) data mining with financial data mining
Misclassification cost-sensitive fault prediction models
SEERA: a software cost estimation dataset for constrained environments
Nearest neighbor sampling for better defect prediction
Experiments on Design Pattern Discovery
A comparative evaluation of static analysis actionable alert identification techniques
Project Data Incorporating Qualitative Factors for Improved Software Defect Prediction
Clustering Dycom: An Online Cross-Company Software Effort Estimation Study
Beyond data mining; towards "idea engineering"
The Ever-Evolving Promises of Data in Software Ecosystems: Models, AI, and Analytics (Keynote)
A Bayesian network approach to assess and predict software quality using activity-based quality models
Scripted GUI Testing of Android Apps: A Study on Diffusion, Evolution and Fragility
Using correlation and accuracy for identifying good estimators
Using code change types in an analogy-based classifier for short-term defect prediction
LOGI: an empirical model of heat-induced disk drive data loss and its implications for data recovery
The impact of parameter tuning on software effort estimation using learning machines
PROMISE '20: 16th International Conference on Predictive Models and Data Analytics in Software Engineering, Virtual Event, USA, November 8-9, 2020
Improving analogy software effort estimation using fuzzy feature subset selection algorithm
Predicting build outcomes in continuous integration using textual analysis of source code commits
DRETOM: developer recommendation based on topic models for bug resolution
Proceedings of the The 12th International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2016, Ciudad Real, Spain, September 9, 2016
Studying Test Case Failure Prediction for Test Case Prioritization
Towards identifying software project clusters with regard to defect prediction
Proceedings of the 14th International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2018, Oulu, Finland, October 10, 2018
API + code = better code summary? insights from an exploratory study
Benchmarking effort estimation models using archetypal analysis
Selecting discriminating terms for bug assignment: a formal analysis
A tree-based approach to preserve the privacy of software engineering data and predictive models
An Evaluation of Parameter Pruning Approaches for Software Estimation
Are Software Dependency Supply Chain Metrics Useful in Predicting Change of Popularity of NPM Packages?
A principled evaluation of ensembles of learning machines for software effort estimation
Automated Fairness Testing with Representative Sampling
Local bias and its impacts on the performance of parametric estimation models
Proceedings of the 7th International Conference on Predictive Models in Software Engineering, PROMISE 2011, Banff, Alberta, Canada, September 20-21, 2011
An algorithmic approach to missing data problem in modeling human aspects in software development
Implications of ceiling effects in defect predictors
Proceedings of the 2005 workshop on Predictor models in software engineering, PROMISE '05, St. Louis, Missouri, USA, May 15, 2005
An empirical analysis of software effort estimation with outlier elimination
What is the Impact of Imbalance on Software Defect Prediction Performance?
Validation of network measures as indicators of defective modules in software systems
Release engineering in the AI world: how can analytics help? (keynote)
Improving the performance of code vulnerability prediction using abstract syntax tree information
An Improvement to Test Case Failure Prediction in the Context of Test Case Prioritization
Software effort estimation based on optimized model tree
Towards predictor models for large libre software projects
Different Classifiers Find Different Defects Although With Different Level of Consistency
Proceedings of the Fifteenth International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2019, Recife, Brazil, September 18, 2019
The scientific basis for prediction research
The 10th International Conference on Predictive Models in Software Engineering, PROMISE '14, Torino, Italy, September 17, 2014
Complementing approaches in ERP effort estimation practice: an industrial study
Defect, defect, defect: defect prediction 2.0
Size and cohesion metrics as indicators of the long method bad smell: An empirical study
CVEfixes: automated collection of vulnerabilities and their fixes from open-source software
Make the Most of Your Time: How Should the Analyst Work with Automated Traceability Tools?
Factors characterizing reopened issues: a case study
Proceedings of the Third International Workshop on Predictor Models in Software Engineering, PROMISE '07, Minneapolis, MN, USA, May 2007
Incremental development productivity decline
Applying Cross Project Defect Prediction Approaches to Cross-Company Effort Estimation
Security Bug Report Prediction Within and Across Projects: A Comparative Study of BERT and Random Forest
On the effectiveness of data balancing techniques in the context of ML-based test case prioritization
Size doesn't matter?: on the value of software size features for effort estimation
Leveraging LLM Enhanced Commit Messages to Improve Machine Learning Based Test Case Prioritization
Towards a software failure cost impact model for the customer: an analysis of an open source product
Detecting bug duplicate reports through local references
Fault detection and prediction in an open-source software project
Assessing the Reliability of a Human Estimator
An Extensive Analysis of Efficient Bug Prediction Configurations
Leveraging Change Intents for Characterizing and Identifying Large-Review-Effort Changes
LogLSHD: Fast Log Parsing with Locality-Sensitive Hashing and Dynamic Time Warping