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Andrea De Lucia

Improving change prediction models with code smell-related information
On the impact of code smells on the energy consumption of mobile applications
A test case prioritization genetic algorithm guided by the hypervolume indicator
Automatic test smell detection using information retrieval techniques
Enhancing change prediction models using developer-related factors
On the diffuseness and the impact on maintainability of code smells: a large scale empirical investigation
An exploratory study on the relationship between changes and refactoring
Developer-related factors in change prediction: an empirical assessment
Lightweight detection of android-specific code smells: The adoctor project
Petra: a software-based tool for estimating the energy profile of android applications
Software-based energy profiling of android apps: Simple, efficient and reliable?
The scent of a smell: An extensive comparison between textual and structural smells
Toward a smell-aware bug prediction model
A textual-based technique for smell detection
Automatic test case generation: What if test code quality matters?
Parameterizing and assembling ir-based solutions for se tasks using genetic algorithms
Adaptive user feedback for ir-based traceability recovery
Defect prediction as a multiobjective optimization problem
Hypervolume-based search for test case prioritization

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