Dr. habil. Rudolf FERENC
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Tibor Gyimóthy
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An automatically created novel bug dataset and its validation in bug prediction
Deep learning in static, metric-based bug prediction
A public unified bug dataset for java and its assessment regarding metrics and bug prediction
Prediction Models For Performance, Power, And Energy Efficiency Of Software Executed On Heterogeneous Hardware
Challenging Machine Learning Algorithms in Predicting Vulnerable JavaScript Functions
Static JavaScript Call Graphs: A Comparative Study
Empirical Evaluation of Software Maintainability Based on a Manually Validated Refactoring Dataset
A public unified bug dataset for Java
Empirical Study on Refactoring Large-scale Industrial Systems and Its Effects on Maintainability
A Manually Validated Code Refactoring Dataset and Its Assessment Regarding Software Maintainability
Assessment of the Code Refactoring Dataset Regarding the Maintainability of Methods
A Code Refactoring Dataset and Its Assessment Regarding Software Maintainability
Designing and Developing Automated Refactoring Transformations: An Experience Report
Do Automatic Refactorings Improve Maintainability? An Industrial Case Study
FaultBuster: An Automatic Code Smell Refactoring Toolset
Bulk Fixing Coding Issues and Its Effects on Software Quality: Is It Worth Refactoring?
SourceMeter SonarQube plug-in
A Case Study of Refactoring Large-Scale Industrial Systems to Efficiently Improve Source Code Quality
Service Layer for IDE Integration of C/C++ Preprocessor Related Analysis
The Connection of the Bug Density and Maintainability of Classes
Software Product Quality Models
A Methodology and Framework for Automatic Layout Independent GUI Testing of Applications Developed in Magic xpa
Developer Support for Understanding Preprocessor Macro Expansions
Myth or Reality? Analyzing the Effect of Design Patterns on Software Maintainability
A Cost Model Based on Software Maintainability
Source Code Metrics and Maintainability: A Case Study
A Probabilistic Software Quality Model
Complexity Measures in 4GL Environment
Solutions for Reverse Engineering 4GL Applications, Recovering the Design of a Logistical Wholesale System
MAGISTER: Quality Assurance of Magic Applications for Software Developers and End Users
New Conceptual Coupling and Cohesion Metrics for Object-Oriented Systems
Visualization of Software Architecture Graphs of Java Systems
Modeling Class Cohesion as Mixtures of Latent Topics
Using Information Retrieval Based Coupling Measures for Impact Analysis
Towards a Benchmark for Evaluating Reverse Engineering Tools
Continuous Software Quality Supervision Using SourceInventory and Columbus
Towards a Benchmark for Evaluating Design Pattern Miner Tools
Method and a device for abstracting instruction sequences with tail merging
Clone Smells in Software Evolution
Constructing control flows graphs of binary executable programs at post-link time
Towards Portable Metrics-based Models for Software Maintenance Problems
Empirical Validation of Object-Oriented Metrics on Open Source Software for Fault Prediction
Columbus: A Reverse Engineering Approach
Extracting Facts with Columbus from C++ Code
Extracting Facts from Open Source Software
Fact Extraction and Code Auditing with Columbus and SourceAudit
CSiBE Benchmark: One Year Perspective and Plans
Extracting Facts with Columbus from C++ Code
Survey of Code-Size Reduction Methods
Columbus – Reverse Engineering Tool and Schema for C++
Towards a Standard Schema for C/C++
A short introduction to Columbus/CAN
Columbus 2.0 – Tool for Reverse Engineering Large Object Oriented Software Systems
An Evaluation of Reverse Engineering Capabilities of the TDE/Columbus system
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