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Jonathan I. Maletic

Jonathan I. Maletic

D-Index & Metrics

Computer Science

D-Index
44
Citations
9504
World Ranking
7498
National Ranking
3263

Research.com Recognitions

  • 2006 - ACM Senior Member

Overview

Jonathan I. Maletic is affiliated with Kent State University in the United States. Their research focuses predominantly within the field of Computer Science, contributing to subfields such as Information Systems, Human-Computer Interaction, and Artificial Intelligence, as well as addressing topics related to Computer Networks and Communications and Computer Science Applications.

The scientist's main topics of work include Gaze Tracking and Assistive Technology, Software Engineering Techniques and Practices, and Software Engineering Research. Additional areas covered in their publications are Usability and User Interface Design, Natural Language Processing Techniques, Software System Performance and Reliability, and Advanced Software Engineering Methodologies.

Jonathan I. Maletic has published extensively in several venues, with frequent contributions found in:

  • ACM Symposium on Eye Tracking Research and Applications
  • Proceedings of the ACM on Human-Computer Interaction
  • Empirical Software Engineering
  • IEEE Transactions on Software Engineering
  • Zenodo (CERN European Organization for Nuclear Research)

Their recent papers include:

  • "Determining Differences in Reading Behavior Between Experts and Novices by Investigating Eye Movement on Source Code Constructs During a Bug Fixing Task" (2021) presented at the ACM Symposium on Eye Tracking Research and Applications
  • "Studying Developer Eye Movements to Measure Cognitive Workload and Visual Effort for Expertise Assessment" (2023) published in the Proceedings of the ACM on Human-Computer Interaction
  • "Deja Vu: semantics-aware recording and replay of high-speed eye tracking and interaction data to support cognitive studies of software engineering tasks-methodology and analyses" (2022) published in Empirical Software Engineering
  • "EMIP Toolkit: A Python Library for Customized Post-processing of the Eye Movements in Programming Dataset" (2021) presented at the ACM Symposium on Eye Tracking Research and Applications
  • "A Fine-grained Assessment on Novice Programmers' Gaze Patterns on Pseudocode Problems" (2020) published at the ACM Symposium on Eye Tracking Research and Applications

Frequent co-authors collaborating with Jonathan I. Maletic include:

  • Bonita Sharif
  • Heather M. Guarnera
  • Joshua A.C. Behler
  • Cole S. Peterson
  • Salwa Aljehane

In 2006, Jonathan I. Maletic was recognized as an ACM Senior Member, acknowledging contributions within the computing community.

Best Publications

  • Recovering documentation-to-source-code traceability links using latent semantic indexing

    Andrian Marcus;Jonathan I. Maletic

  • An information retrieval approach to concept location in source code

    A. Marcus;A. Sergeyev;V. Rajlich;J.I. Maletic

  • A survey and taxonomy of approaches for mining software repositories in the context of software evolution

    Huzefa Kagdi;Michael L. Collard;Jonathan I. Maletic

  • Identification of high-level concept clones in source code

    A. Marcus;J.I. Maletic

  • Data Cleansing: Beyond Integrity Analysis 1

    Jonathan I. Maletic;Andrian Marcus

  • Supporting program comprehension using semantic and structural information

    Jonathan I. Maletic;Andrian Marcus

  • 3D representations for software visualization

    Andrian Marcus;Louis Feng;Jonathan I. Maletic

  • A task oriented view of software visualization

    J.I. Maletic;A. Marcus;M.L. Collard

  • What's a Typical Commit? A Characterization of Open Source Software Repositories

    A. Alali;H. Kagdi;J.I. Maletic

  • Assessing the Comprehension of UML Class Diagrams via Eye Tracking

    S. Yusuf;H. Kagdi;J.I. Maletic

  • An XML-based lightweight C++ fact extractor

    M.L. Collard;H.H. Kagdi;J.I. Maletic

  • Source code files as structured documents

    J.I. Maletic;M.L. Collard;A. Marcus

  • Recovery of traceability links between software documentation and source code

    Andrian Marcus;Jonathan I. Maletic;Andrey Sergeyev

  • An eye-tracking study on the role of scan time in finding source code defects

    Bonita Sharif;Michael Falcone;Jonathan I. Maletic

  • An Eye Tracking Study on camelCase and under_score Identifier Styles

    Bonita Sharif;Jonathan I. Maletic

  • The impact of identifier style on effort and comprehension

    Dave Binkley;Marcia Davis;Dawn Lawrie;Jonathan I. Maletic

  • srcML: An Infrastructure for the Exploration, Analysis, and Manipulation of Source Code: A Tool Demonstration

    Michael L. Collard;Michael John Decker;Jonathan I. Maletic

  • Using latent semantic analysis to identify similarities in source code to support program understanding

    J.I. Maletic;A. Marcus

  • Lightweight Transformation and Fact Extraction with the srcML Toolkit

    Michael L. Collard;Michael J. Decker;Jonathan I. Maletic

  • Supporting source code difference analysis

    J.I. Maletic;M.L. Collard

  • Mining software repositories for traceability links

    H. Kagdi;J.I. Maletic;B. Sharif

Frequent Co-Authors

Andrian Marcus
Andrian Marcus The University of Texas at Dallas
Robert G. Reynolds
Robert G. Reynolds Wayne State University
Jane Huffman Hayes
Jane Huffman Hayes University of Kentucky
Jane Cleland-Huang
Jane Cleland-Huang University of Notre Dame
Giuliano Antoniol
Giuliano Antoniol Polytechnique Montréal
Massimiliano Di Penta
Massimiliano Di Penta University of Sannio
Michele Lanza
Michele Lanza Universita della Svizzera Italiana
Stéphane Ducasse
Stéphane Ducasse University of Lille
Tien N. Nguyen
Tien N. Nguyen The University of Texas at Dallas
Denys Poshyvanyk
Denys Poshyvanyk William & Mary

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