What is she best known for?
The fields of study she is best known for:
- Software
- Programming language
- Artificial intelligence
Andrea De Lucia mainly focuses on Software, Source code, Code smell, Software system and Empirical research.
The concepts of her Software study are interwoven with issues in Data mining, Identification, World Wide Web, Heuristics and Information retrieval.
The study incorporates disciplines such as Java and Software maintenance in addition to Source code.
Andrea De Lucia has researched Code smell in several fields, including Computer security, Code, Quality and Unit testing.
Her Software system research is multidisciplinary, incorporating elements of Class, Unified Modeling Language, Code refactoring and Maintainability, Software engineering.
While the research belongs to areas of Empirical research, Andrea De Lucia spends her time largely on the problem of Artificial intelligence, intersecting her research to questions surrounding Machine learning, Natural language processing and Structural pattern.
Her most cited work include:
- Recovering traceability links in software artifact management systems using information retrieval methods (337 citations)
- Development and evaluation of a virtual campus on Second Life: The case of SecondDMI (320 citations)
- How to effectively use topic models for software engineering tasks? an approach based on genetic algorithms (203 citations)
What are the main themes of her work throughout her whole career to date?
Andrea De Lucia mostly deals with Software, Software engineering, Source code, Software system and Data mining.
Her work deals with themes such as World Wide Web, Empirical research, Information retrieval and Traceability, which intersect with Software.
Her Software engineering research integrates issues from Software quality, Software maintenance, Software development, Software evolution and Software modernization.
Her studies deal with areas such as Machine learning, Artificial intelligence, Code smell and Code refactoring as well as Source code.
Her research in Software system intersects with topics in Quality, Design pattern and Test case.
Her study looks at the intersection of Data mining and topics like Cluster analysis with Heuristics.
She most often published in these fields:
- Software (30.80%)
- Software engineering (28.69%)
- Source code (23.21%)
What were the highlights of her more recent work (between 2015-2021)?
- Code smell (13.92%)
- Source code (23.21%)
- Artificial intelligence (15.19%)
In recent papers she was focusing on the following fields of study:
Her main research concerns Code smell, Source code, Artificial intelligence, Software and Software system.
Her Source code research includes elements of Software maintenance, Software design, Identification, Static analysis and Code refactoring.
Andrea De Lucia has included themes like Software bug, Machine learning, Data mining and Pattern recognition in her Artificial intelligence study.
Her Data mining research incorporates elements of Traceability and Natural language processing.
Her Software study integrates concerns from other disciplines, such as Class and Empirical research.
Andrea De Lucia interconnects Design pattern, Software engineering, Schedule, Software design pattern and Adapter in the investigation of issues within Software system.
Between 2015 and 2021, her most popular works were:
- On the diffuseness and the impact on maintainability of code smells: a large scale empirical investigation (117 citations)
- When and Why Your Code Starts to Smell Bad (and Whether the Smells Go Away) (93 citations)
- Recommending and localizing change requests for mobile apps based on user reviews (87 citations)
In her most recent research, the most cited papers focused on:
- Software
- Artificial intelligence
- Programming language
Andrea De Lucia mainly investigates Code smell, Software, Source code, Software system and Software quality.
Her Code smell study incorporates themes from Maintainability, Code refactoring, Code and Artificial intelligence.
Her biological study spans a wide range of topics, including Data mining, World Wide Web, Heuristics, Information retrieval and Empirical research.
Her work carried out in the field of Source code brings together such families of science as Semantics and Android.
Her studies examine the connections between Software system and genetics, as well as such issues in Software engineering, with regards to Reliability engineering.
Andrea De Lucia combines subjects such as Machine learning, Software maintenance, Technical debt and Software repository with her study of Software quality.
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