What is he best known for?
The fields of study he is best known for:
- Software
- Programming language
- Software engineering
His main research concerns Source code, Information retrieval, Software system, Data mining and Software.
His Source code study integrates concerns from other disciplines, such as Software maintenance and Documentation.
The study incorporates disciplines such as Object-oriented programming, Maintainability and Software metric in addition to Software maintenance.
Andrian Marcus has included themes like Software development, Natural language and Code in his Software system study.
He interconnects Error detection and correction and Pattern matching in the investigation of issues within Data mining.
His Software study combines topics from a wide range of disciplines, such as Machine learning and Artificial intelligence.
His most cited work include:
- Recovering documentation-to-source-code traceability links using latent semantic indexing (553 citations)
- An information retrieval approach to concept location in source code (419 citations)
- Feature Location Using Probabilistic Ranking of Methods Based on Execution Scenarios and Information Retrieval (378 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Source code, Software, Information retrieval, Software system and Software engineering.
His biological study spans a wide range of topics, including Program comprehension, Software maintenance, Data mining and Documentation.
The Software study combines topics in areas such as Traceability and Database.
His Information retrieval research is multidisciplinary, incorporating elements of Natural language and Code.
His research integrates issues of World Wide Web and Software development in his study of Software system.
Andrian Marcus works mostly in the field of Software engineering, limiting it down to topics relating to Software construction and, in certain cases, Software design.
He most often published in these fields:
- Source code (37.23%)
- Software (33.58%)
- Information retrieval (29.93%)
What were the highlights of his more recent work (between 2016-2021)?
- Software (33.58%)
- Information retrieval (29.93%)
- Software engineering (28.47%)
In recent papers he was focusing on the following fields of study:
Andrian Marcus mainly focuses on Software, Information retrieval, Software engineering, Code and Software system.
Andrian Marcus has researched Software in several fields, including Android, Scenario testing and Human–computer interaction.
His studies in Information retrieval integrate themes in fields like Natural language and Source code.
The concepts of his Source code study are interwoven with issues in Program comprehension, Readability, Identifier, Code refactoring and Rename.
His Traceability study in the realm of Software engineering interacts with subjects such as Empirical research and Business process reengineering.
His Software system research incorporates themes from Software bug, Query expansion, Data mining and Software development.
Between 2016 and 2021, his most popular works were:
- On-demand Developer Documentation (57 citations)
- Detecting missing information in bug descriptions (52 citations)
- ARENA: An Approach for the Automated Generation of Release Notes (36 citations)
In his most recent research, the most cited papers focused on:
- Software
- Programming language
- Artificial intelligence
Andrian Marcus spends much of his time researching Software, Information retrieval, Data mining, Software system and Code.
His research investigates the connection with Software and areas like Documentation which intersect with concerns in Information needs and Knowledge management.
His research ties Average recall and Information retrieval together.
His work carried out in the field of Data mining brings together such families of science as Query expansion and Traceability.
The various areas that Andrian Marcus examines in his Software system study include Software bug and Software engineering.
His Software documentation research is multidisciplinary, relying on both Internal documentation, World Wide Web and Source code.
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