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Computer Science

D-Index
38
Citations
6762
World Ranking
10172
National Ranking
308

Research.com Recognitions

  • 2020 - ACM Senior Member

Overview

Burak Turhan is a researcher affiliated with Monash University in Australia, specializing in the field of Computer Science. Their work concentrates primarily on software engineering and related subfields, with a particular focus on software engineering research, techniques, and practices.

The subfields of study that Burak Turhan engages with include:

  • Information Systems
  • Software
  • Artificial Intelligence
  • Safety Research
  • Health Informatics

Key topics that their research covers are:

  • Software Engineering Research
  • Software Engineering Techniques and Practices
  • Software Testing and Debugging Techniques
  • Software Reliability and Analysis Research
  • Ethics and Social Impacts of AI
  • Artificial Intelligence in Healthcare and Education
  • Explainable Artificial Intelligence (XAI)

Burak Turhan has collaborated frequently with several researchers, including:

  • Chakkrit Tantithamthavorn
  • Rashina Hoda
  • Natália Juristo
  • Vladimir Mandić
  • Paul Ralph

Their recent papers demonstrate contributions to both software engineering practices and ethical considerations related to artificial intelligence. Among the publications are:

  • "Pandemic Programming," 2020, Empirical Software Engineering
  • "Empirical Standards for Software Engineering Research," 2020, arXiv (Cornell University)
  • "Ethics in the Age of AI: An Analysis of AI Practitioners' Awareness and Challenges," 2023, ACM Transactions on Software Engineering and Methodology
  • "On the need of preserving order of data when validating within-project defect classifiers," 2020, arXiv (Cornell University)
  • "Pandemic Programming: How COVID-19 affects software developers and how their organizations can help," 2020, PubMed

The venues where Burak Turhan has published regularly include:

  • arXiv (Cornell University)
  • Empirical Software Engineering
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Transactions on Software Engineering
  • ACM Transactions on Software Engineering and Methodology

In recognition of their contributions to the field, Burak Turhan was awarded the ACM Senior Member status in 2020.

Best Publications

  • On the relative value of cross-company and within-company data for defect prediction

    Burak Turhan;Tim Menzies;Ayşe B. Bener;Justin Di Stefano

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

    Tim Menzies;Zach Milton;Burak Turhan;Bojan Cukic

  • A Systematic Literature Review and Meta-Analysis on Cross Project Defect Prediction

    Seyedrebvar Hosseini;Burak Turhan;Dimuthu Gunarathna

  • Local versus Global Lessons for Defect Prediction and Effort Estimation

    T. Menzies;A. Butcher;D. Cok;A. Marcus

  • Pandemic programming: How COVID-19 affects software developers and how their organizations can help.

    Paul Ralph;Sebastian Baltes;Gianisa Adisaputri;Richard Torkar;Richard Torkar

  • Empirical software engineering experts on the use of students and professionals in experiments

    Davide Falessi;Natalia Juristo;Claes Wohlin;Burak Turhan

  • Implications of ceiling effects in defect predictors

    Tim Menzies;Burak Turhan;Ayse Bener

  • Analysis of Naive Bayes' assumptions on software fault data: An empirical study

    Burak Turhan;Ayse Bener

  • On the dataset shift problem in software engineering prediction models

    Burak Turhan

  • Empirical evaluation of the effects of mixed project data on learning defect predictors

    Burak Turhan;Ayşe Tosun Mısırlı;Ayşe Bener

  • Cognitive Biases in Software Engineering: A Systematic Mapping Study

    Rahul Mohanani;Iflaah Salman;Burak Turhan;Pilar Rodriguez

  • A benchmark study on the effectiveness of search-based data selection and feature selection for cross project defect prediction

    Seyedrebvar Hosseini;Burak Turhan;Mika Mäntylä

  • A Dissection of the Test-Driven Development Process: Does It Really Matter to Test-First or to Test-Last?

    Davide Fucci;Hakan Erdogmus;Burak Turhan;Markku Oivo

  • Software effort estimation using machine learning methods

    B. Baskeles;B. Turhan;A. Bener

  • Validation of network measures as indicators of defective modules in software systems

    Ayşe Tosun;Burak Turhan;Ayşe Bener

  • What Do We Know about Test-Driven Development?

    F Shull;G Melnik;B Turhan;L Layman

  • Empirical Standards for Software Engineering Research

    Paul Ralph;Nauman bin Ali;Sebastian Baltes;Domenico Bianculli

  • Practical considerations in deploying statistical methods for defect prediction: A case study within the Turkish telecommunications industry

    Ayşe Tosun;Ayşe Bener;Burak Turhan;Tim Menzies

  • An industrial case study of classifier ensembles for locating software defects

    Ayşe Tosun Mısırlı;Ayşe Başar Bener;Burak Turhan

  • Data mining source code for locating software bugs

    Burak Turhan;Gozde Kocak;Ayse Bener

  • Ensemble of neural networks with associative memory (ENNA) for estimating software development costs

    Yigit Kultur;Burak Turhan;Ayse Bener

Frequent Co-Authors

Ayse Bener
Ayse Bener Toronto Metropolitan University
Natalia Juristo
Natalia Juristo Technical University of Madrid
Tim Menzies
Tim Menzies North Carolina State University
Leandro L. Minku
Leandro L. Minku University of Birmingham
Markku Oivo
Markku Oivo University of Oulu
Emilia Mendes
Emilia Mendes Aarhus University
Massimiliano Di Penta
Massimiliano Di Penta University of Sannio
Forrest Shull
Forrest Shull Carnegie Mellon University
Robert Feldt
Robert Feldt Chalmers University of Technology
Jon Whittle
Jon Whittle Commonwealth Scientific and Industrial Research Organisation

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