What is she best known for?
The fields of study she is best known for:
- Programming language
- Software
- Operating system
Her main research concerns Clone, Software system, Java, Cloning and Software.
Her studies deal with areas such as Precision and recall and Benchmark as well as Clone.
Her Software system research incorporates themes from Real-time computing, Linux kernel and Code refactoring.
Java is a subfield of Programming language that Chanchal K. Roy studies.
Chanchal K. Roy interconnects Software maintenance, Data mining, Similarity, Artificial intelligence and Machine learning in the investigation of issues within Cloning.
Her Software study combines topics in areas such as Recommender system, World Wide Web and Information retrieval.
Her most cited work include:
- Comparison and evaluation of code clone detection techniques and tools: A qualitative approach (755 citations)
- A Survey on Software Clone Detection Research (532 citations)
- NICAD: Accurate Detection of Near-Miss Intentional Clones Using Flexible Pretty-Printing and Code Normalization (361 citations)
What are the main themes of her work throughout her whole career to date?
Her primary areas of investigation include Software, Software system, Clone, Java and Information retrieval.
Her Software research includes elements of World Wide Web, Software engineering, Process and Source code.
Her Software system research focuses on Data mining and how it relates to Scalability.
Her work deals with themes such as Code refactoring, Software evolution, Precision and recall, Benchmark and Cloning, which intersect with Clone.
Her work deals with themes such as Machine learning and Artificial intelligence, which intersect with Cloning.
Her Java research is classified as research in Programming language.
She most often published in these fields:
- Software (26.12%)
- Software system (23.67%)
- Clone (23.27%)
What were the highlights of her more recent work (between 2019-2021)?
- Artificial intelligence (12.24%)
- Chemical engineering (4.08%)
- Software (26.12%)
In recent papers she was focusing on the following fields of study:
Chanchal K. Roy focuses on Artificial intelligence, Chemical engineering, Software, Clone and Software system.
Her Artificial intelligence research includes themes of Machine learning and Natural language processing.
Chanchal K. Roy incorporates Software and Detector in her studies.
Her biological study spans a wide range of topics, including Software evolution, Software analysis pattern and Code refactoring.
Her Software system study frequently draws connections between adjacent fields such as Source code.
Her biological study deals with issues like Java, which deal with fields such as Word embedding.
Between 2019 and 2021, her most popular works were:
- CAPS: a supervised technique for classifying Stack Overflow posts concerning API issues (10 citations)
- Mechanically tough and highly stretchable poly(acrylic acid) hydrogel cross-linked by 2D graphene oxide (7 citations)
- The Vision of Software Clone Management: Past, Present, and Future. (6 citations)
In her most recent research, the most cited papers focused on:
- Programming language
- Software
- Operating system
Her primary areas of investigation include Software, Chemical engineering, Information retrieval, Self-healing hydrogels and Polyacrylamide Hydrogel.
Her Software research is multidisciplinary, relying on both Artificial intelligence and Source code.
The Information retrieval study combines topics in areas such as Java and Word embedding.
The study incorporates disciplines such as Swelling, Acrylate and Acrylic acid in addition to Self-healing hydrogels.
Her Software system research integrates issues from Theoretical computer science, Tracing, Code refactoring, Data science and Code smell.
Her Software evolution study combines topics from a wide range of disciplines, such as Codebase, Software maintenance, Computational biology and Code clone.
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