2006 - ACM Senior Member
Source code, Software system, Programming language, Artificial intelligence and Information retrieval are his primary areas of study. His research in Source code intersects with topics in Code generation, Code, Software maintenance and Documentation. His work deals with themes such as Natural language, Latent semantic indexing and Traceability, which intersect with Documentation.
His work carried out in the field of Software system brings together such families of science as Software development and Configuration management. His Programming language study incorporates themes from XML validation, XML Encryption, XML, XPath and XML schema. His studies deal with areas such as Computer vision and Natural language processing as well as Artificial intelligence.
Source code, Programming language, Software engineering, Artificial intelligence and Software system are his primary areas of study. Jonathan I. Maletic has included themes like Program comprehension, XML, Software maintenance and Traceability in his Source code study. Jonathan I. Maletic works mostly in the field of Traceability, limiting it down to topics relating to Documentation and, in certain cases, Information retrieval, Software documentation and Latent semantic indexing.
His Software engineering study integrates concerns from other disciplines, such as Object-oriented programming, Software and Database. Jonathan I. Maletic usually deals with Artificial intelligence and limits it to topics linked to Natural language processing and Stereotype and Identifier. His study in Software system is interdisciplinary in nature, drawing from both Software development and Human–computer interaction.
His primary areas of investigation include Source code, Program comprehension, Eye tracking, Context and Artificial intelligence. His Source code research includes elements of Software maintenance, Software engineering, Natural language and Scrolling. His Software maintenance research is multidisciplinary, incorporating perspectives in Class, Measure and Taxonomy.
The Program comprehension study combines topics in areas such as Mathematics education, Duration and Task. His work in Eye tracking addresses subjects such as Gaze, which are connected to disciplines such as Code comprehension, BitTorrent tracker, Data loss and Column. His Artificial intelligence research focuses on Natural language processing and how it relates to Documentation and Thesaurus.
His main research concerns Source code, Program comprehension, Eye tracking, Context and Software engineering. His Source code study frequently links to other fields, such as Human–computer interaction. His research investigates the connection between Program comprehension and topics such as Java that intersect with issues in Focus, Control flow and Information retrieval.
His study focuses on the intersection of Eye tracking and fields such as Scrolling with connections in the field of Software and Microsoft Visual Studio. Context combines with fields such as Perception and Software maintenance in his work. His Software engineering research integrates issues from Software evolution, Program transformation and Code refactoring.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
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)
A survey and taxonomy of approaches for mining software repositories in the context of software evolution
Huzefa Kagdi;Michael L. Collard;Jonathan I. Maletic.
Journal of Software Maintenance and Evolution: Research and Practice (2007)
Identification of high-level concept clones in source code
A. Marcus;J.I. Maletic.
automated software engineering (2001)
Data Cleansing: Beyond Integrity Analysis 1
Jonathan I. Maletic;Andrian Marcus.
Supporting program comprehension using semantic and structural information
Jonathan I. Maletic;Andrian Marcus.
international conference on software engineering (2001)
3D representations for software visualization
Andrian Marcus;Louis Feng;Jonathan I. Maletic.
software visualization (2003)
A task oriented view of software visualization
J.I. Maletic;A. Marcus;M.L. Collard.
visualizing software for understanding and analysis (2002)
Source code files as structured documents
J.I. Maletic;M.L. Collard;A. Marcus.
workshop on program comprehension (2002)
An XML-based lightweight C++ fact extractor
M.L. Collard;H.H. Kagdi;J.I. Maletic.
workshop on program comprehension (2003)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: