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Computer Science

D-Index
42
Citations
12192
World Ranking
8183
National Ranking
3508

Research.com Recognitions

  • 2015 - ACM Senior Member

Overview

Bradley Schmerl is affiliated with Carnegie Mellon University in the United States. Their research falls primarily within the field of Computer Science, with a focus on several subfields including Artificial Intelligence, Computer Networks and Communications, Information Systems, Industrial and Manufacturing Engineering, and Management Information Systems.

The main areas of research covered by Schmerl include Advanced Software Engineering Methodologies, Software System Performance and Reliability, Software Engineering Research, AI-based Problem Solving and Planning, Flexible and Reconfigurable Manufacturing Systems, Business Process Modeling and Analysis, and Network Security and Intrusion Detection.

Frequent venues where Schmerl publishes include:

  • arXiv (Cornell University)
  • Journal of Systems and Software
  • ACM Transactions on Autonomous and Adaptive Systems
  • Zenodo (CERN European Organization for Nuclear Research)
  • Software & Systems Modeling

Recent publications by Schmerl feature topics related to self-adaptive systems, robotics software architecture, and architectural design tradeoffs. Selected recent papers include:

  • The uncertainty interaction problem in self-adaptive systems, 2022, Software & Systems Modeling
  • Mining guidelines for architecting robotics software, 2021, Journal of Systems and Software
  • Explaining quality attribute tradeoffs in automated planning for self-adaptive systems, 2022, Journal of Systems and Software
  • CaRE: Finding Root Causes of Configuration Issues in Highly-Configurable Robots, 2023, IEEE Robotics and Automation Letters
  • ExTrA: Explaining architectural design tradeoff spaces via dimensionality reduction, 2022, Journal of Systems and Software

Collaborations have been an element of Schmerl's work, with frequent coauthors including:

  • David Garlan
  • Javier Cámara
  • Pooyan Jamshidi
  • Rebekka Wohlrab
  • Md Abir Hossen

In 2015, Schmerl was recognized as an ACM Senior Member. This designation reflects a level of professional achievement and standing within the field.

Best Publications

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

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

  • Rainbow: architecture-based self-adaptation with reusable infrastructure

    D. Garlan;S.-W. Cheng;A.-C. Huang;B. Schmerl

  • Rainbow: architecture-based self-adaptation with reusable infrastructure

    Shang-Wen Cheng;An-Cheng Huang;D. Garlan;B. Schmerl

  • Model-based adaptation for self-healing systems

    David Garlan;Bradley Schmerl

  • On Patterns for Decentralized Control in Self-Adaptive Systems

    Danny Weyns;Bradley R. Schmerl;Vincenzo Grassi;Sam Malek

  • Architecture-based self-adaptation in the presence of multiple objectives

    Shang-Wen Cheng;David Garlan;Bradley Schmerl

  • Increasing system dependability through architecture-based self-repair

    David Garlan;Shang-Wen Cheng;Bradley Schmerl

  • Task-based adaptation for ubiquitous computing

    J.P. Sousa;V. Poladian;D. Garlan;B. Schmerl

  • Proactive self-adaptation under uncertainty: a probabilistic model checking approach

    Gabriel A. Moreno;Javier Cámara;David Garlan;Bradley Schmerl

  • Evaluating the effectiveness of the Rainbow self-adaptive system

    Shang-Wen Cheng;David Garlan;Bradley Schmerl

  • Using Gauges for Architecture-Based Monitoring and Adaptation

    David Garlan;Bradley Schmerl;Jichuan Chang

  • Software Architecture-Based Adaptation for Pervasive Systems

    Shang-Wen Cheng;David Garlan;Bradley R. Schmerl;João Pedro Sousa

  • Software Architecture-Based Self-Adaptation

    David Garlan;Bradley R. Schmerl;Shang-Wen Cheng

  • DiscoTect: a system for discovering architectures from running systems

    Hong Yan;David Garlan;Bradley Schmerl;Jonathan Aldrich

  • Exploiting architectural design knowledge to support self-repairing systems

    Bradley Schmerl;David Garlan

  • Documenting Component and Connector Views with UML 2.0

    James Ivers;Paul Clements;David Garlan;Robert Nord

  • Discovering Architectures from Running Systems

    B. Schmerl;J. Aldrich;D. Garlan;R. Kazman

  • AcmeStudio: supporting style-centered architecture development

    Bradley Schmerl;David Garlan

  • Using Architectural Style as a Basis for System Self-repair

    Shang-Wen Cheng;David Garlan;Bradley R. Schmerl;João Pedro Sousa

  • Software engineering for self-adaptive systems: research challenges in the provision of assurances

    Rogério de Lemos;David Garlan;Carlo Ghezzi;Holger Giese

Frequent Co-Authors

David Garlan
David Garlan Carnegie Mellon University
Danny Weyns
Danny Weyns KU Leuven
Jonathan Aldrich
Jonathan Aldrich Carnegie Mellon University
Sam Malek
Sam Malek University of California, Irvine
Bruce H. Krogh
Bruce H. Krogh Carnegie Mellon University
Rick Kazman
Rick Kazman University of Hawaii at Manoa
Luciano Baresi
Luciano Baresi Polytechnic University of Milan
Peter Steenkiste
Peter Steenkiste Carnegie Mellon University
Yuriy Brun
Yuriy Brun University of Massachusetts Amherst
Kathleen M. Carley
Kathleen M. Carley Carnegie Mellon University

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