World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
12867
World Ranking
7783
National Ranking
3366

Overview

Bojan Cukic is affiliated with the University of North Carolina at Charlotte in the United States. Their research primarily falls within the field of Computer Science, with a particular focus on subfields such as Information Systems, Signal Processing, Artificial Intelligence, Computer Networks and Communications, and Software.

Their work covers a range of topics including Advanced Malware Detection Techniques, Software Engineering Research, Web Application Security Vulnerabilities, Adversarial Robustness in Machine Learning, Software Reliability and Analysis Research, Career Development and Diversity, and Higher Education Research Studies.

Among their recent publications are:

  • "Can we generate shellcodes via natural language? An empirical study" (2022), published in Automated Software Engineering
  • "Who evaluates the evaluators? On automatic metrics for assessing AI-based offensive code generators" (2023), published in Expert Systems with Applications
  • "Fostering Greater Persistence Among Underserved Computer Science Undergraduates: A Descriptive Study of the I-PASS Project" (2022), published in Journal of College Student Retention Research Theory & Practice
  • "AI Code Generators for Security: Friend or Foe?" (2024), published in IEEE Security & Privacy
  • "Performance Evaluation of Recent Windows Operating Systems" (2020), published in TUGraz OPEN Library (Graz University of Technology)

The frequent co-authors collaborating with Bojan Cukic include:

  • Pietro Liguori
  • Domenico Cotroneo
  • Roberto Natella
  • Cristina Improta
  • Erfan Al-Hossami

Publications featuring Bojan Cukic's work have appeared in venues such as arXiv (Cornell University), Automated Software Engineering, Expert Systems with Applications, Journal of College Student Retention Research Theory & Practice, and IEEE Security & Privacy.

Best Publications

  • Software Engineering for Self-Adaptive Systems : A Second Research Roadmap

    Rogério de Lemos;Holger Giese;Hausi A. Müller;Mary Shaw

  • Software Engineering for Self-Adaptive Systems: A Research Roadmap

    Betty H. Cheng;Rogério Lemos;Holger Giese;Paola Inverardi

  • A scenario-based reliability analysis approach for component-based software

    S. Yacoub;B. Cukic;H.H. Ammar

  • Defect prediction from static code features: current results, limitations, new approaches

    Tim Menzies;Zach Milton;Burak Turhan;Bojan Cukic

  • Robust prediction of fault-proneness by random forests

    L. Guo;Y. Ma;B. Cukic;Harshinder Singh

  • Techniques for evaluating fault prediction models

    Yue Jiang;Bojan Cukic;Yan Ma

  • Image quality assessment for iris biometric

    Nathan D. Kalka;Jinyu Zuo;Natalia A. Schmid;Bojan Cukic

  • Scenario-based reliability analysis of component-based software

    S.M. Yacoub;B. Cukic;H.H. Ammar

  • Implications of ceiling effects in defect predictors

    Tim Menzies;Burak Turhan;Ayse Bener

  • Early reliability assessment of UML based software models

    Vittorio Cortellessa;Harshinder Singh;Bojan Cukic

  • A Bayesian approach to reliability prediction and assessment of component based systems

    H. Singh;V. Cortellessa;B. Cukic;E. Gunel

  • Comparing design and code metrics for software quality prediction

    Yue Jiang;Bojan Cuki;Tim Menzies;Nick Bartlow

  • Estimating and Fusing Quality Factors for Iris Biometric Images

    Nathan D Kalka;Jinyu Zuo;Natalia A Schmid;Bojan Cukic

  • A Statistical Framework for the Prediction of Fault-Proneness

    Yan Ma;Lan Guo;Bojan Cukic

  • Fault Prediction using Early Lifecycle Data

    Yue Jiang;Bojan Cukic;Tim Menzies

  • Can data transformation help in the detection of fault-prone modules?

    Yue Jiang;Bojan Cukic;Tim Menzies

  • Error propagation in the reliability analysis of component based systems

    P. Popic;D. Desovski;W. Abdelmoez;B. Cukic

  • Fingerprint liveness detection based on histograms of invariant gradients

    Carsten Gottschlich;Emanuela Marasco;Allen Y. Yang;Bojan Cukic

  • Variance Analysis in Software Fault Prediction Models

    Yue Jiang;Jie Lin;Bojan Cukic;Tim Menzies

  • Predicting fault prone modules by the Dempster-Shafer belief networks

    Lan Guo;Bojan Cukic;Harshinder Singh

Frequent Co-Authors

Tim Menzies
Tim Menzies North Carolina State University
Arun Ross
Arun Ross Michigan State University
Mary Shaw
Mary Shaw Carnegie Mellon University
Mary Lou Maher
Mary Lou Maher University of North Carolina at Charlotte
Jeff Magee
Jeff Magee Imperial College London
Jeff Kramer
Jeff Kramer Imperial College London
Marin Litoiu
Marin Litoiu York University
Danny Weyns
Danny Weyns KU Leuven
Gabor Karsai
Gabor Karsai Vanderbilt University

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