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Andrea De Lucia
Researcher at University of Salerno
Publications - 231
Citations - 11185
Andrea De Lucia is an academic researcher from University of Salerno. The author has contributed to research in topics: Source code & Code smell. The author has an hindex of 54, co-authored 229 publications receiving 9467 citations. Previous affiliations of Andrea De Lucia include University of Sannio & University of Naples Federico II.
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Recovering traceability links in software artifact management systems using information retrieval methods
TL;DR: An artifact management system with a traceability recovery tool based on Latent Semantic Indexing (LSI), an information retrieval technique, is improved and it is shown that such tools can help to identify quality problems in the textual description of traced artifacts.
Journal ArticleDOI
Development and evaluation of a virtual campus on Second Life: The case of SecondDMI
TL;DR: A virtual campus created using Second Life which provides four distinct types of virtual space: common student campus, collaborative zones, lecture rooms and recreational areas, and an experiment involving university students aiming at evaluating Second Life synchronous distance lectures in the proposed learning environment.
Journal ArticleDOI
When and Why Your Code Starts to Smell Bad (and Whether the Smells Go Away)
Michele Tufano,Fabio Palomba,Gabriele Bavota,Rocco Oliveto,Massimiliano Di Penta,Andrea De Lucia,Denys Poshyvanyk +6 more
TL;DR: The findings mostly contradict common wisdom stating that smells are being introduced during evolutionary tasks, and call for the need to develop a new generation of recommendation systems aimed at properly planning smell refactoring activities.
Proceedings ArticleDOI
How to effectively use topic models for software engineering tasks? an approach based on genetic algorithms
Annibale Panichella,Bogdan Dit,Rocco Oliveto,Massimilano Di Penta,Denys Poshynanyk,Andrea De Lucia +5 more
TL;DR: A novel solution to adapt, configure and effectively use a topic modeling technique, namely Latent Dirichlet Allocation (LDA), to achieve better (acceptable) performance across various SE tasks is proposed.
Proceedings ArticleDOI
When and why your code starts to smell bad
Michele Tufano,Fabio Palomba,Gabriele Bavota,Rocco Oliveto,Massimiliano Di Penta,Andrea De Lucia,Denys Poshyvanyk +6 more
TL;DR: The findings mostly contradict common wisdom, showing that most of the smell instances are introduced when an artifact is created and not as a result of its evolution, and at the same time, 80 percent of smells survive in the system.