Software engineering

AI-based clustering of similar issues in GitHub’s repositories
Automatic Identiﬁcation of Similar Pull-Requests in GitHub’s Repositories Using Machine Learning
Automatic Labeling of the Object-oriented Source Code: The Lotus Approach
Constructing a software requirements specification and design for electronic IT news magazine system
Detecting and Visualizing Implementation Feature Interactions in Extracted Core Assets of Software Product Line
DETECTING COMMONALITY AND VARIABILITY IN USE-CASE DIAGRAM VARIANTS
Feature-based insight for forks in social coding platforms
Leveraging a combination of machine learning and formal concept analysis to locate the implementation of features in software variants
ML-Augmented Automation for Recovering Links Between Pull-Requests and Issues on GitHub
Naming the Identified Feature Implementation Blocks from Software Source Code
Naming the Identified Feature Implementation Blocks from Software Source Code
Object-oriented Software Documentation
PI-Link: A Ground-Truth Dataset of Links Between Pull-Requests and Issues in GitHub
Predicting Quality Medical Drug Data Towards Meaningful Data using Machine Learning
Requirements Traceability: Recovering and Visualizing Traceability Links Between Requirements and Source Code of Object-oriented Software Systems
SoftCloud: A Tool for Visualizing Software Artifacts as Tag Clouds
Software evolution understanding: Automatic extraction of software identifiers map for object-oriented software systems
Tag Clouds for Object-Oriented Source Code Visualization
Tag clouds for software documents visualization
The Impact of the Object-Oriented Software Evolution on Software Metrics: The Iris Approach

Page 1 of 2

AI-based clustering of similar issues in GitHub’s repositories

Automatic Identiﬁcation of Similar Pull-Requests in GitHub’s Repositories Using Machine Learning

Automatic Labeling of the Object-oriented Source Code: The Lotus Approach

Constructing a software requirements specification and design for electronic IT news magazine system

Detecting and Visualizing Implementation Feature Interactions in Extracted Core Assets of Software Product Line

DETECTING COMMONALITY AND VARIABILITY IN USE-CASE DIAGRAM VARIANTS

Feature-based insight for forks in social coding platforms

Leveraging a combination of machine learning and formal concept analysis to locate the implementation of features in software variants

ML-Augmented Automation for Recovering Links Between Pull-Requests and Issues on GitHub

Naming the Identified Feature Implementation Blocks from Software Source Code

Naming the Identified Feature Implementation Blocks from Software Source Code

Object-oriented Software Documentation

PI-Link: A Ground-Truth Dataset of Links Between Pull-Requests and Issues in GitHub

Predicting Quality Medical Drug Data Towards Meaningful Data using Machine Learning

Requirements Traceability: Recovering and Visualizing Traceability Links Between Requirements and Source Code of Object-oriented Software Systems

SoftCloud: A Tool for Visualizing Software Artifacts as Tag Clouds

Software evolution understanding: Automatic extraction of software identifiers map for object-oriented software systems

Tag Clouds for Object-Oriented Source Code Visualization

Tag clouds for software documents visualization

The Impact of the Object-Oriented Software Evolution on Software Metrics: The Iris Approach

E-Publications

Login Form