World's Best Scientists 2026 revealed!
Ladan Tahvildari

Ladan Tahvildari

D-Index & Metrics

Computer Science

D-Index
31
Citations
7170
World Ranking
13382
National Ranking
518

Overview

Ladan Tahvildari is affiliated with the University of Waterloo in Canada and their research primarily focuses on the field of computer science. Their work covers several subfields including software, computer networks and communications, and information systems.

The scientist's research explores topics such as software reliability and analysis, software system performance and reliability, and information and cyber security. These themes are reflected across their recent publications.

Recent papers authored or co-authored by Ladan Tahvildari include:

  • Erratum to "Improving design quality using meta-pattern transformations: a metric-based approach" (2023) in the Journal of Software Evolution and Process

Although not all publications list Tahvildari as the primary author, coauthorship with frequent collaborators is noted. Regular coauthors include:

  • Ryan Zheng He Liu (2 publications)
  • Kostas Kontogiannis (1 publication)
  • Ryan Liu (1 publication)
  • Shizhe Lin (1 publication)
  • Mingyang Xu (1 publication)

The scientist has published notably in venues such as:

  • arXiv (Cornell University) with 3 papers
  • Journal of Software Evolution and Process with 1 paper

The research topics covered by their work span:

  • Software Reliability and Analysis Research
  • Software System Performance and Reliability
  • Information and Cyber Security

Ladan Tahvildari's scholarly contributions focus on advancing understanding within software and information security domains, with work regularly appearing in preprint repositories and established software engineering journals.

Best Publications

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

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

  • Self-adaptive software: Landscape and research challenges

    Mazeiar Salehie;Ladan Tahvildari

  • The Effects of Time Constraints on Test Case Prioritization: A Series of Controlled Experiments

    Hyunsook Do;S Mirarab;L Tahvildari;G Rothermel

  • Autonomic computing: emerging trends and open problems

    Mazeiar Salehie;Ladan Tahvildari

  • Cloud Computing Uncovered: A Research Landscape

    Mohammad Hamdaqa;Ladan Tahvildari

  • A metric-based approach to enhance design quality through meta-pattern transformations

    L. Tahvildari;K. Kontogiannis

  • A REFERENCE MODEL FOR DEVELOPING CLOUD APPLICATIONS

    Mohammad Hamdaqa;Tassos Livogiannis;Ladan Tahvildari

  • Towards Practical Runtime Verification and Validation of Self-Adaptive Software Systems

    Gabriel Tamura;Gabriel Tamura;Norha M. Villegas;Norha M. Villegas;Hausi A. Müller;João Pedro Sousa

  • An empirical study of the effect of time constraints on the cost-benefits of regression testing

    Hyunsook Do;Siavash Mirarab;Ladan Tahvildari;Gregg Rothermel

  • A prioritization approach for software test cases based on Bayesian networks

    Siavash Mirarab;Ladan Tahvildari

  • Size-Constrained Regression Test Case Selection Using Multicriteria Optimization

    S. Mirarab;S. Akhlaghi;L. Tahvildari

  • Improving design quality using meta-pattern transformations: a metric-based approach

    Ladan Tahvildari;Kostas Kontogiannis

  • Quality-driven software re-engineering

    Ladan Tahvildari;Kostas Kontogiannis;John Mylopoulos

  • A Metric-Based Heuristic Framework to Detect Object-Oriented Design Flaws

    M. Salehie;S. Li;L. Tahvildari

  • Towards a goal-driven approach to action selection in self-adaptive software

    Mazeiar Salehie;Ladan Tahvildari

  • Adaptive Action Selection in Autonomic Software Using Reinforcement Learning

    M. Amoui;M. Salehie;S. Mirarab;L. Tahvildari

  • StarMX: A framework for developing self-managing Java-based systems

    Reza Asadollahi;Mazeiar Salehie;Ladan Tahvildari

  • Using Bayesian Belief Networks to Predict Change Propagation in Software Systems

    S. Mirarab;A. Hassouna;L. Tahvildari

  • An Empirical Study on Bayesian Network-based Approach for Test Case Prioritization

    S. Mirarab;L. Tahvildari

  • Test Case Prioritization Using Lexicographical Ordering

    Sepehr Eghbali;Ladan Tahvildari

Frequent Co-Authors

Kostas Kontogiannis
Kostas Kontogiannis York University
John Mylopoulos
John Mylopoulos University of Ottawa
Mauro Pezzè
Mauro Pezzè Universita della Svizzera Italiana
Hausi A. Müller
Hausi A. Müller University of Victoria
Gabor Karsai
Gabor Karsai Vanderbilt University
Gregg Rothermel
Gregg Rothermel North Carolina State University
Marin Litoiu
Marin Litoiu York University
Jeff Kramer
Jeff Kramer Imperial College London
Luciano Baresi
Luciano Baresi Polytechnic University of Milan

If you think any of the details on this page are incorrect, let us know.

Report an issue

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:

Related Online Degrees & Career Pathways

Exploring online degrees in related fields can open up a variety of career pathways alongside computer science. Whether you're looking for an accelerated program or considering specialized STEM fields, there’s a range of flexible online options to consider.

For those aiming to fast-track their learning, a 1 year computer science degree online offers a structured, intensive route to a recognized qualification. This can be an ideal choice for those seeking to enter the workforce quickly or switch careers efficiently.

If you're passionate about sustainable technology, an environmental engineering degree or an online mechanical engineering degree can equip you with practical skills in addressing real-world challenges. Both fields overlap significantly with computer science, particularly in automation, modeling, and smart systems.

For students interested in the foundations of computing and scientific research, an online theoretical physics degree provides a rigorous analytical background. This knowledge is valuable for roles in software development, data science, and emerging technologies such as quantum computing.

Best Scientists Citing Ladan Tahvildari

Trending Scientists

Recently Published Articles