World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
5146
World Ranking
12148
National Ranking
4940

Overview

Jane Huffman Hayes is affiliated with the University of Kentucky in the United States. Their primary field of study is Computer Science, with significant contributions spanning several subfields including Information Systems, Software, Computer Networks and Communications, and Artificial Intelligence.

The research topics covered by Jane Huffman Hayes focus mainly on software engineering and related areas. Key topics include:

  • Software Engineering Research
  • Software Testing and Debugging Techniques
  • Software System Performance and Reliability
  • Software Engineering Techniques and Practices
  • Advanced Software Engineering Methodologies

Their recent academic publications reflect work at the intersection of software system reliability and requirements engineering. Notable papers include:

  • "Effective fault localization and context-aware debugging for concurrent programs," published in 2021 in Software Testing Verification and Reliability
  • "Philanthropic conference-based requirements engineering in time of pandemic and beyond," published in 2022 in Requirements Engineering

Jane Huffman Hayes collaborates with various researchers across disciplines. Frequent co-authors are:

  • Justin Chu
  • Tingting Yu
  • Xue Han
  • Yu Zhao
  • Meira Levy

The publication venues frequented by Hayes include:

  • Software Testing Verification and Reliability
  • Requirements Engineering

Best Publications

  • Advancing candidate link generation for requirements tracing: the study of methods

    J.H. Hayes;A. Dekhtyar;S.K. Sundaram

  • Improving requirements tracing via information retrieval

    J.H. Hayes;A. Dekhtyar;J. Osborne

  • Software traceability: trends and future directions

    Jane Cleland-Huang;Orlena C. Z. Gotel;Jane Huffman Hayes;Patrick Mäder

  • Software maintenance maturity model (SMmm): the software maintenance process model

    Alain April;Jane Huffman Hayes;Alain Abran;Reiner R. Dumke

  • A semantic model of program faults

    A. Jefferson Offutt;J. Huffman Hayes

  • Helping analysts trace requirements: an objective look

    J.H. Hayes;A. Dekhtyar;S.K. Sundaram;S. Howard

  • REquirements TRacing On target (RETRO): improving software maintenance through traceability recovery

    Jane Huffman Hayes;Alex Dekhtyar;Senthil Karthikeyan Sundaram;E. Ashlee Holbrook

  • Traceability Fundamentals

    Unknown

  • Automated Requirements Traceability: The Study of Human Analysts

    David Cuddeback;Alex Dekhtyar;Jane Hayes

  • Evaluating individual contribution toward group software engineering projects

    Jane Huffman Hayes;Timothy C. Lethbridge;Daniel Port

  • The quest for Ubiquity: A roadmap for software and systems traceability research

    O. Gotel;J. Cleland-Huang;J. Huffman Hayes;A. Zisman

  • Assessing traceability of software engineering artifacts

    Senthil Karthikeyan Sundaram;Jane Huffman Hayes;Alex Dekhtyar;E. Ashlee Holbrook

  • A metrics-based software maintenance effort model

    J.H. Hayes;S.C. Patel;L. Zhao

  • The Grand Challenge of Traceability (v1.0)

    Orlena Gotel;Jane Cleland-Huang;Jane Huffman Hayes;Andrea Zisman

  • Tracing requirements to defect reports: an application of information retrieval techniques

    Suresh Yadla;Jane Huffman Hayes;Alex Dekhtyar

  • TraceLab: an experimental workbench for equipping researchers to innovate, synthesize, and comparatively evaluate traceability solutions

    Ed Keenan;Adam Czauderna;Greg Leach;Jane Cleland-Huang

  • Humans in the traceability loop: can't live with 'em, can't live without 'em

    Jane Huffman Hayes;Alex Dekhtyar

  • Improving after-the-fact tracing and mapping: supporting software quality predictions

    J.H. Hayes;A. Dekhtyar;S.K. Sundaram

  • Building a requirement fault taxonomy: experiences from a NASA verification and validation research project

    J.H. Hayes

  • On human analyst performance in assisted requirements tracing: Statistical analysis

    Alex Dekhtyar;Olga Dekhtyar;Jeff Holden;Jane Huffman Hayes

  • Text mining for software engineering: how analyst feedback impacts final results

    Jane Huffman Hayes;Alex Dekhtyar;Senthil Sundaram

  • Energizing Software Engineering Education through Real-World Projects as Experimental Studies

    Unknown

Frequent Co-Authors

Jane Cleland-Huang
Jane Cleland-Huang University of Notre Dame
Giuliano Antoniol
Giuliano Antoniol Polytechnique Montréal
Yann-Gaël Guéhéneuc
Yann-Gaël Guéhéneuc Concordia University
Denys Poshyvanyk
Denys Poshyvanyk William & Mary
Jonathan I. Maletic
Jonathan I. Maletic Kent State University
Miroslaw Truszczynski
Miroslaw Truszczynski University of Kentucky
Jeff Offutt
Jeff Offutt George Mason University
Alain Abran
Alain Abran École de Technologie Supérieure
Bram Adams
Bram Adams Queen's University
Andrian Marcus
Andrian Marcus The University of Texas at Dallas

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