2011 - ACM Senior Member
Andrian Marcus merges Programming language with Theoretical computer science in his research. Andrian Marcus performs integrative Theoretical computer science and Programming language research in his work. Andrian Marcus regularly ties together related areas like Object (grammar) in his Artificial intelligence studies. His Object (grammar) study frequently draws connections to adjacent fields such as Artificial intelligence. As part of his studies on Gene, Andrian Marcus often connects relevant areas like clone (Java method). In his works, Andrian Marcus performs multidisciplinary study on Data mining and Natural language processing. He combines Natural language processing and Data mining in his research. He regularly ties together related areas like Germ in his Cell biology studies. His studies link Cell biology with Germ.
His study on Biochemistry is mostly dedicated to connecting different topics, such as Wheat germ. In his work, Andrian Marcus performs multidisciplinary research in Gene and Molecular biology. Andrian Marcus undertakes multidisciplinary investigations into Molecular biology and Gene in his work. His work on RNA is being expanded to include thematically relevant topics such as Genetics. His study ties his expertise on Messenger RNA together with the subject of Genetics. Andrian Marcus merges Messenger RNA with Ribosome in his study. He conducted interdisciplinary study in his works that combined Ribosome and Enzyme. He undertakes multidisciplinary studies into Enzyme and RNA in his work. His research brings together the fields of Embryo and Cell biology.
His Artificial intelligence study frequently links to related topics such as Adversarial information retrieval. Adversarial information retrieval is frequently linked to Cognitive models of information retrieval in his study. Many of his studies on Cognitive models of information retrieval involve topics that are commonly interrelated, such as Machine learning. Many of his studies involve connections with topics such as Ranking (information retrieval) and Machine learning. Andrian Marcus performs multidisciplinary study on Ranking (information retrieval) and Information retrieval in his works. Andrian Marcus performs multidisciplinary study in the fields of Information retrieval and Human–computer information retrieval via his papers. His work on Artificial intelligence expands to the thematically related Human–computer information retrieval. Andrian Marcus integrates many fields in his works, including Data mining and Natural language processing. He integrates Natural language processing with Data mining in his research.
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Recovering documentation-to-source-code traceability links using latent semantic indexing
Andrian Marcus;Jonathan I. Maletic.
international conference on software engineering (2003)
An information retrieval approach to concept location in source code
A. Marcus;A. Sergeyev;V. Rajlich;J.I. Maletic.
working conference on reverse engineering (2004)
Feature Location Using Probabilistic Ranking of Methods Based on Execution Scenarios and Information Retrieval
D. Poshyvanyk;Y.-G. Gueheneuc;A. Marcus;G. Antoniol.
IEEE Transactions on Software Engineering (2007)
Identification of high-level concept clones in source code
A. Marcus;J.I. Maletic.
automated software engineering (2001)
Automated severity assessment of software defect reports
T. Menzies;A. Marcus.
international conference on software maintenance (2008)
Data Cleansing: Beyond Integrity Analysis 1
Jonathan I. Maletic;Andrian Marcus.
Using the Conceptual Cohesion of Classes for Fault Prediction in Object-Oriented Systems
A. Marcus;D. Poshyvanyk;R. Ferenc.
IEEE Transactions on Software Engineering (2008)
Combining Formal Concept Analysis with Information Retrieval for Concept Location in Source Code
D. Poshyvanyk;A. Marcus.
international conference on program comprehension (2007)
Supporting program comprehension using semantic and structural information
Jonathan I. Maletic;Andrian Marcus.
international conference on software engineering (2001)
On the Use of Automated Text Summarization Techniques for Summarizing Source Code
Sonia Haiduc;Jairo Aponte;Laura Moreno;Andrian Marcus.
working conference on reverse engineering (2010)
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