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Analysing Feature Model Changes using FMDiff
Analysing Feature Model Changes using FMDiff
Evaluating Feature Change Impact on Multi-Product Line Configurations Using Partial Information
Refactoring Fat Interfaces Using a Genetic Algorithm
A Genetic Algorithm to Find the Adequate Granularity for Service Interfaces
Extracting Feature Model Changes from the Linux Kernel Using FMDiff
Towards a weighted voting system for Q&A sites
Predicting the fix time of bugs
Detecting and refactoring code smells in spreadsheet formula
Analyzing the Evolution of Web Services using Fine-Grained Changes
Analyzing the Impact of Antipatterns on Change-Proneness Using Fine-Grained Source Code Changes
Measuring Spreadsheet Formula Understandability
Can We Predict Types of Code Changes? An Empirical Analysis
Detecting Code Smells in Spreadsheet Formulas
Extracting Dynamic Dependencies between Web Services Using Vector Clocks
Using Source Code Metrics to Predict Change-Prone Java Interfaces
Using the Gini Coefficient for Bug Prediction in Eclipse
Collective Code Bookmarks for Program Comprehension
Comparing Fine-Grained Source Code Changes And Code Churn For Bug Prediction
Adinda: A knowledgeable, browser-based IDE
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