Bradley R. Schmerl

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 63

Top Venues

SEAMS@ICSE

J. Syst. Softw.

CoRR

ACM SIGSOFT Softw. Eng. Notes

Publications

Bruno Sousa, Duarte Dias, Nuno Antunes, Javier Cámara, Ryan Wagner, Bradley R. Schmerl, David Garlan, Pedro Fidalgo
MONDEO-Tactics5G: Multistage botnet detection and tactics for 5G/6G networks. Comput. Secur. 140 (2024)
Md. Abir Hossen, Sonam Kharade, Jason M. O'Kane, Bradley R. Schmerl, David Garlan, Pooyan Jamshidi
CURE: Simulation-Augmented Auto-Tuning in Robotics. CoRR (2024)
Paulo Canelas, Bradley R. Schmerl, Alcides Fonseca, Christopher Steven Timperley
Understanding Misconfigurations in ROS: An Empirical Study and Current Approaches. CoRR (2024)
Javier Cámara, Rebekka Wohlrab, David Garlan, Bradley R. Schmerl
Focusing on What Matters: Explaining Quality Tradeoffs in Software-Intensive Systems Via Dimensionality Reduction. IEEE Softw. 41 (1) (2024)
Bradley R. Schmerl, Javier Cámara, Martina Maggio
Foreword: SEAMS 2022 Special Issue. ACM Trans. Auton. Adapt. Syst. 19 (1) (2024)
Md. Abir Hossen, Sonam Kharade, Bradley R. Schmerl, Javier Cámara, Jason M. O'Kane, Ellen C. Czaplinski, Katherine A. Dzurilla, David Garlan, Pooyan Jamshidi
CaRE: Finding Root Causes of Configuration Issues in Highly-Configurable Robots. IEEE Robotics Autom. Lett. 8 (7) (2023)
Rebekka Wohlrab, Javier Cámara, David Garlan, Bradley R. Schmerl
Explaining quality attribute tradeoffs in automated planning for self-adaptive systems. J. Syst. Softw. 198 (2023)
Javier Cámara, Rebekka Wohlrab, David Garlan, Bradley R. Schmerl
ExTrA: Explaining architectural design tradeoff spaces via dimensionality reduction. J. Syst. Softw. 198 (2023)
Md. Abir Hossen, Sonam Kharade, Bradley R. Schmerl, Javier Cámara, Jason M. O'Kane, Ellen C. Czaplinski, Katherine A. Dzurilla, David Garlan, Pooyan Jamshidi
CaRE: Finding Root Causes of Configuration Issues in Highly-Configurable Robots. CoRR (2023)
Mohammad Reza Saleh Sedghpour, David Garlan, Bradley R. Schmerl, Cristian Klein, Johan Tordsson
Breaking the Vicious Circle: Self-Adaptive Microservice Circuit Breaking and Retry. IC2E (2023)
Christopher Steven Timperley, Tobias Dürschmid, Bradley R. Schmerl, David Garlan, Claire Le Goues
ROSDiscover: Statically Detecting Run-Time Architecture Misconfigurations in Robotics Systems. ICSA (2022)
Javier Cámara, Javier Troya, Antonio Vallecillo, Nelly Bencomo, Radu Calinescu, Betty H. C. Cheng, David Garlan, Bradley R. Schmerl
The uncertainty interaction problem in self-adaptive systems. Softw. Syst. Model. 21 (4) (2022)
Christopher Steven Timperley, Tobias Dürschmid, Bradley R. Schmerl, David Garlan, Claire Le Goues
ROSDiscover: Statically Detecting Run-Time Architecture Misconfigurations in Robotics Systems : Artifact Paper. ICSA Companion (2022)
Javier Cámara, Radu Calinescu, Betty H. C. Cheng, David Garlan, Bradley R. Schmerl, Javier Troya, Antonio Vallecillo
Addressing the uncertainty interaction problem in software-intensive systems: challenges and desiderata. MoDELS (2022)
Danny Weyns, Ilias Gerostathopoulos, Barbora Buhnova, Nicolás Cardozo, Emilia Cioroaica, Ivana Dusparic, Lars Grunske, Pooyan Jamshidi, Christine Julien, Judith Michael, Gabriel A. Moreno, Shiva Nejati, Patrizio Pelliccione, Federico Quin, Genaína Nunes Rodrigues, Bradley R. Schmerl, Marco Vieira, Thomas Vogel, Rebekka Wohlrab
Guidelines for Artifacts to Support Industry-Relevant Research on Self-Adaptation. ACM SIGSOFT Softw. Eng. Notes 47 (4) (2022)
Danny Weyns, Ilias Gerostathopoulos, Barbora Buhnova, Nicolás Cardozo, Emilia Cioroaica, Ivana Dusparic, Lars Grunske, Pooyan Jamshidi, Christine Julien, Judith Michael, Gabriel A. Moreno, Shiva Nejati, Patrizio Pelliccione, Federico Quin, Genaína Nunes Rodrigues, Bradley R. Schmerl, Marco Vieira, Thomas Vogel, Rebekka Wohlrab
Guidelines for Artifacts to Support Industry-Relevant Research on Self-Adaptation. CoRR (2022)
Ivano Malavolta, Grace A. Lewis, Bradley R. Schmerl, Patricia Lago, David Garlan
Mining guidelines for architecting robotics software. J. Syst. Softw. 178 (2021)
Nianyu Li, Javier Cámara, David Garlan, Bradley R. Schmerl, Zhi Jin
Hey! Preparing Humans to do Tasks in Self-adaptive Systems. SEAMS@ICSE (2021)
Danny Weyns, Tomás Bures, Radu Calinescu, Barnaby Craggs, John S. Fitzgerald, David Garlan, Bashar Nuseibeh, Liliana Pasquale, Awais Rashid, Ivan Ruchkin, Bradley R. Schmerl
Six Software Engineering Principles for Smarter Cyber-Physical Systems. ACSOS-C (2021)
Danny Weyns, Bradley R. Schmerl, Masako Kishida, Alberto Leva, Marin Litoiu, Necmiye Ozay, Colin Paterson, Kenji Tei
Towards Better Adaptive Systems by Combining MAPE, Control Theory, and Machine Learning. SEAMS@ICSE (2021)
Javier Cámara, Mariana Silva, David Garlan, Bradley R. Schmerl
Explaining Architectural Design Tradeoff Spaces: A Machine Learning Approach. ECSA (2021)
Danny Weyns, Bradley R. Schmerl, Masako Kishida, Alberto Leva, Marin Litoiu, Necmiye Ozay, Colin Paterson, Kenji Tei
Towards Better Adaptive Systems by Combining MAPE, Control Theory, and Machine Learning. CoRR (2021)
Martin Pfannemüller, Martin Breitbach, Markus Weckesser, Christian Becker, Bradley R. Schmerl, Andy Schürr, Christian Krupitzer
REACT-ION: A Model-based Runtime Environment for Situation-aware Adaptations. ACM Trans. Auton. Adapt. Syst. 15 (4) (2020)
Martin Pfannemüller, Martin Breitbach, Christian Krupitzer, Markus Weckesser, Christian Becker, Bradley R. Schmerl, Andy Schürr
REACT: A Model-Based Runtime Environment for Adapting Communication Systems. ACSOS (2020)
Nianyu Li, Javier Cámara, David Garlan, Bradley R. Schmerl
Reasoning about When to Provide Explanation for Human-involved Self-Adaptive Systems. ACSOS (2020)
Thomas J. Glazier, David Garlan, Bradley R. Schmerl
Automated Management of Collections of Autonomic Systems. ACSOS (2020)
Ashutosh Pandey, Ivan Ruchkin, Bradley R. Schmerl, David Garlan
Hybrid Planning Using Learning and Model Checking for Autonomous Systems. ACSOS (2020)
Javier Cámara, Bradley R. Schmerl, David Garlan
Software architecture and task plan co-adaptation for mobile service robots. SEAMS@ICSE (2020)
Sheila Katherine Venero, Bradley R. Schmerl, Leonardo Montecchi, Júlio Cesar dos Reis, Cecília Mary Fischer Rubira
Automated Planning for Supporting Knowledge-Intensive Processes. BPMDS/EMMSAD@CAiSE (2020)
Ivano Malavolta, Grace A. Lewis, Bradley R. Schmerl, Patricia Lago, David Garlan
How do you architect your robots?: state of the practice and guidelines for ROS-based systems. ICSE (SEIP) (2020)
Jonathan Aldrich, David Garlan, Christian Kästner, Claire Le Goues, Anahita Mohseni-Kabir, Ivan Ruchkin, Selva Samuel, Bradley R. Schmerl, Christopher Steven Timperley, Manuela Veloso, Ian Voysey, Joydeep Biswas, Arjun Guha, Jarrett Holtz, Javier Cámara, Pooyan Jamshidi
Model-Based Adaptation for Robotics Software. IEEE Softw. 36 (2) (2019)
Pooyan Jamshidi, Javier Cámara, Bradley R. Schmerl, Christian Kästner, David Garlan
Machine learning meets quantitative planning: enabling self-adaptation in autonomous robots. SEAMS@ICSE (2019)
Carlos M. Aderaldo, Nabor C. Mendonça, Bradley R. Schmerl, David Garlan
Kubow: an architecture-based self-adaptation service for cloud native applications. ECSA (Companion) (2019)
Tomás Bures, Danny Weyns, Bradley R. Schmerl, John S. Fitzgerald, Adina Aniculaesei, Christian Berger, João Cambeiro, Jan Carlson, Shafiul Azam Chowdhury, Marian Daun, Nianyu Li, Matthias Markthaler, Claudio Menghi, Birgit Penzenstadler, Aedan D. Pettit, Robert G. Pettit IV, Luca Sabatucci, Christos Tranoris, Hans Vangheluwe, Sebastian Voss, Edith Zavala
Software Engineering for Smart Cyber-Physical Systems (SEsCPS 2018) - Workshop Report. ACM SIGSOFT Softw. Eng. Notes 44 (4) (2019)
Pooyan Jamshidi, Javier Cámara, Bradley R. Schmerl, Christian Kästner, David Garlan
Machine Learning Meets Quantitative Planning: Enabling Self-Adaptation in Autonomous Robots. CoRR (2019)
Javier Cámara, David Garlan, Bradley R. Schmerl
Synthesizing tradeoff spaces with quantitative guarantees for families of software systems. J. Syst. Softw. 152 (2019)
Gabriel A. Moreno, Bradley R. Schmerl, David Garlan
SWIM: an exemplar for evaluation and comparison of self-adaptation approaches for web applications. SEAMS@ICSE (2018)
Javier Cámara, Bradley R. Schmerl, Gabriel A. Moreno, David Garlan
MOSAICO: offline synthesis of adaptation strategy repertoires with flexible trade-offs. Autom. Softw. Eng. 25 (3) (2018)
Javier Cámara, Wenxin Peng, David Garlan, Bradley R. Schmerl
Reasoning about sensing uncertainty and its reduction in decision-making for self-adaptation. Sci. Comput. Program. 167 (2018)
Ivan Ruchkin, Joshua Sunshine, Grant Iraci, Bradley R. Schmerl, David Garlan
IPL: An Integration Property Language for Multi-model Cyber-physical Systems. FM (2018)
Gabriel A. Moreno, Javier Cámara, David Garlan, Bradley R. Schmerl
Flexible and Efficient Decision-Making for Proactive Latency-Aware Self-Adaptation. ACM Trans. Auton. Adapt. Syst. 13 (1) (2018)
Tomás Bures, Danny Weyns, Bradley R. Schmerl, John S. Fitzgerald
Software Engineering for Smart Cyber-Physical Systems: Models, System-Environment Boundary, and Social Aspects. ACM SIGSOFT Softw. Eng. Notes 43 (4) (2018)
Nabor C. Mendonça, David Garlan, Bradley R. Schmerl, Javier Cámara
Generality vs. reusability in architecture-based self-adaptation: the case for self-adaptive microservices. ECSA (Companion) (2018)
Tomás Bures, Danny Weyns, Bradley R. Schmerl, John S. Fitzgerald
Software Engineering for Smart Cyber-Physical Systems: Models, System-Environment Boundary, and Social Aspects. ACM SIGSOFT Softw. Eng. Notes 43 (4) (2018)
Javier Cámara, Wenxin Peng, David Garlan, Bradley R. Schmerl
Reasoning About Sensing Uncertainty in Decision-Making for Self-adaptation. SEFM Workshops (2017)
Javier Cámara, David Garlan, Bradley R. Schmerl
Synthesis and Quantitative Verification of Tradeoff Spaces for Families of Software Systems. ECSA (2017)
Hemank Lamba, Thomas J. Glazier, Javier Cámara, Bradley R. Schmerl, David Garlan, Jürgen Pfeffer
Model-based Cluster Analysis for Identifying Suspicious Activity Sequences in Software. IWSPA@CODASPY (2017)
Gabriel A. Moreno, Alessandro Vittorio Papadopoulos, Konstantinos Angelopoulos, Javier Cámara, Bradley R. Schmerl
Comparing Model-Based Predictive Approaches to Self-Adaptation: CobRA and PLA. SEAMS@ICSE (2017)
Tomás Bures, Danny Weyns, Bradley R. Schmerl, John S. Fitzgerald
SEsCPS 2017 Workshop Summary. SEsCPS@ICSE (2017)
Ashutosh Pandey, Ivan Ruchkin, Bradley R. Schmerl, Javier Cámara
Towards a Formal Framework for Hybrid Planning in Self-Adaptation. SEAMS@ICSE (2017)
Ashutosh Pandey, Bradley R. Schmerl, David Garlan
Instance-Based Learning for Hybrid Planning. FAS*W@SASO/ICCAC (2017)
Tomás Bures, Danny Weyns, Bradley R. Schmerl, Eduardo Tovar, Eric Boden, Thomas Gabor, Ilias Gerostathopoulos, Pragya Gupta, Eunsuk Kang, Alessia Knauss, Pankesh Patel, Awais Rashid, Ivan Ruchkin, Roykrong Sukkerd, Christos Tsigkanos
Software Engineering for Smart Cyber-Physical Systems: Challenges and Promising Solutions. ACM SIGSOFT Softw. Eng. Notes 42 (2) (2017)
Bradley R. Schmerl, Paola Inverardi
Introduction to the Special Section on Best Papers from SEAMS 2015. ACM Trans. Auton. Adapt. Syst. 11 (4) (2017)
Ivan Ruchkin, Selva Samuel, Bradley R. Schmerl, Amanda Rico, David Garlan
Challenges in physical modeling for adaptation of cyber-physical systems. WF-IoT (2016)
Javier Cámara, Pedro Correia, Rogério de Lemos, David Garlan, Pedro Gomes, Bradley R. Schmerl, Rafael Ventura
Incorporating architecture-based self-adaptation into an adaptive industrial software system. J. Syst. Softw. 122 (2016)
Gabriel A. Moreno, Javier Cámara, David Garlan, Bradley R. Schmerl
Efficient Decision-Making under Uncertainty for Proactive Self-Adaptation. ICAC (2016)
Javier Cámara, Gabriel A. Moreno, David Garlan, Bradley R. Schmerl
Analyzing Latency-Aware Self-Adaptation Using Stochastic Games and Simulations. ACM Trans. Auton. Adapt. Syst. 10 (4) (2016)
Pedro Caldeira Neves, Bradley R. Schmerl, Javier Cámara, Jorge Bernardino
Big Data in Cloud Computing: Features and Issues. IoTBD (2016)
Javier Cámara, Antónia Lopes, David Garlan, Bradley R. Schmerl
Adaptation impact and environment models for architecture-based self-adaptive systems. Sci. Comput. Program. 127 (2016)
João Miguel Franco, Francisco Correia, Raul Barbosa, Mário Zenha Rela, Bradley R. Schmerl, David Garlan
Improving self-adaptation planning through software architecture-based stochastic modeling. J. Syst. Softw. 115 (2016)
Bradley R. Schmerl, Jeff Gennari, Alireza Sadeghi, Hamid Bagheri, Sam Malek, Javier Cámara, David Garlan
Architecture Modeling and Analysis of Security in Android Systems. ECSA (2016)
Bradley R. Schmerl, Jeffrey Gennari, Javier Cámara, David Garlan
Raindroid: a system for run-time mitigation of Android intent vulnerabilities [poster]. HotSoS (2016)
Hemank Lamba, Thomas J. Glazier, Bradley R. Schmerl, Javier Cámara, David Garlan, Jürgen Pfeffer
A model-based approach to anomaly detection in software architectures. HotSoS (2016)
Javier Cámara, David Garlan, Bradley R. Schmerl, Ashutosh Pandey
Optimal planning for architecture-based self-adaptation via model checking of stochastic games. SAC (2015)
Thomas J. Glazier, Javier Cámara, Bradley R. Schmerl, David Garlan
Analyzing Resilience Properties of Different Topologies of Collective Adaptive Systems. SASO Workshops (2015)
Bradley R. Schmerl
RADIANCE 2015 Keynote: Challenges in Engineering Dependable Self-Adaptive System. DSN Workshops (2015)
Ivan Ruchkin, Bradley R. Schmerl, David Garlan
Architectural Abstractions for Hybrid Programs. CBSE (2015)
Bradley R. Schmerl, Jeffrey Gennari, David Garlan
An architecture style for Android security analysis: poster. HotSoS (2015)
Ivan Ruchkin, Bradley R. Schmerl, David Garlan
Analytic Dependency Loops in Architectural Models of Cyber-Physical Systems. ACES-MB&WUCOR@MoDELS (2015)
Hemank Lamba, Thomas J. Glazier, Bradley R. Schmerl, Jürgen Pfeffer, David Garlan
Detecting insider threats in software systems using graph models of behavioral paths. HotSoS (2015)
Gabriel A. Moreno, Javier Cámara, David Garlan, Bradley R. Schmerl
Proactive self-adaptation under uncertainty: a probabilistic model checking approach. ESEC/SIGSOFT FSE (2015)
Jeffrey M. Barnes, David Garlan, Bradley R. Schmerl
Evolution styles: foundations and models for software architecture evolution. Softw. Syst. Model. 13 (2) (2014)
Paulo Casanova, David Garlan, Bradley R. Schmerl, Rui Abreu
Diagnosing unobserved components in self-adaptive systems. SEAMS (2014)
Javier Cámara Moreno, Antónia Lopes, David Garlan, Bradley R. Schmerl
Impact Models for Architecture-Based Self-adaptive Systems. FACS (2014)
Vishal Dwivedi, David Garlan, Jürgen Pfeffer, Bradley R. Schmerl
Model-Based Assistance for Making Time/Fidelity Trade-Offs in Component Compositions. ITNG (2014)
Akshay Rajhans, Ajinkya Bhave, Ivan Ruchkin, Bruce H. Krogh, David Garlan, André Platzer, Bradley R. Schmerl
Supporting Heterogeneity in Cyber-Physical Systems Architectures. IEEE Trans. Autom. Control. 59 (12) (2014)
Bradley R. Schmerl, Javier Cámara, Jeffrey Gennari, David Garlan, Paulo Casanova, Gabriel A. Moreno, Thomas J. Glazier, Jeffrey M. Barnes
Architecture-based self-protection: composing and reasoning about denial-of-service mitigations. HotSoS (2014)
Perla Velasco Elizondo, Vishal Dwivedi, David Garlan, Bradley R. Schmerl, José Maria Fernandes
Resolving Data Mismatches in End-User Compositions. IS-EUD (2013)
Rogério de Lemos, David Garlan, Carlo Ghezzi, Holger Giese, Jesper Andersson, Marin Litoiu, Bradley R. Schmerl, Danny Weyns, Luciano Baresi, Nelly Bencomo, Yuriy Brun, Javier Cámara, Radu Calinescu, Myra B. Cohen, Alessandra Gorla, Vincenzo Grassi, Lars Grunske, Paola Inverardi, Jean-Marc Jézéquel, Sam Malek, Raffaela Mirandola, Marco Mori, Hausi A. Müller, Romain Rouvoy, Cecília M. F. Rubira, Éric Rutten, Mary Shaw, Giordano Tamburrelli, Gabriel Tamura, Norha M. Villegas, Thomas Vogel, Franco Zambonelli
Software Engineering for Self-Adaptive Systems: Research Challenges in the Provision of Assurances. Software Engineering for Self-Adaptive Systems (2013)
Paulo Casanova, David Garlan, Bradley R. Schmerl, Rui Abreu
Diagnosing architectural run-time failures. SEAMS (2013)
Javier Cámara, Pedro Correia, Rogério de Lemos, David Garlan, Pedro Gomes, Bradley R. Schmerl, Rafael Ventura
Evolving an adaptive industrial software system to use architecture-based self-adaptation. SEAMS (2013)
Bradley R. Schmerl, Jesper Andersson, Thomas Vogel, Myra B. Cohen, Cecília M. F. Rubira, Yuriy Brun, Alessandra Gorla, Franco Zambonelli, Luciano Baresi
Challenges in Composing and Decomposing Assurances for Self-Adaptive Systems. Software Engineering for Self-Adaptive Systems (2013)
Eric Yuan, Sam Malek, Bradley R. Schmerl, David Garlan, Jeff Gennari
Architecture-based self-protecting software systems. QoSA (2013)
Javier Cámara, David Garlan, Gabriel A. Moreno, Bradley R. Schmerl
Analyzing Self-Adaptation Via Model Checking of Stochastic Games. Software Engineering for Self-Adaptive Systems (2013)
David Garlan, Vishal Dwivedi, Ivan Ruchkin, Bradley R. Schmerl
Foundations and Tools for End-User Architecting. Monterey Workshop (2012)
David Garlan, Vishal Dwivedi, Ivan Ruchkin, Bradley R. Schmerl
Foundations and Tools for End-User Architecting CoRR (2012)
Danny Weyns, Sam Malek, Jesper Andersson, Bradley R. Schmerl
Introduction to the special issue on state of the art in engineering self-adaptive systems. J. Syst. Softw. 85 (12) (2012)
Vishal Dwivedi, Perla Velasco Elizondo, José Maria Fernandes, David Garlan, Bradley R. Schmerl
An Architectural Approach to End User Orchestrations. ECSA (2011)
Ajinkya Bhave, Bruce H. Krogh, David Garlan, Bradley R. Schmerl
View Consistency in Architectures for Cyber-Physical Systems. ICCPS (2011)
Bradley R. Schmerl, David Garlan, Vishal Dwivedi, Michael W. Bigrigg, Kathleen M. Carley
SORASCS: a case study in soa-based platform design for socio-cultural analysis. ICSE (2011)
Paulo Casanova, Bradley R. Schmerl, David Garlan, Rui Abreu
Architecture-Based Run-Time Fault Diagnosis. ECSA (2011)
Rogério de Lemos, Holger Giese, Hausi A. Müller, Mary Shaw, Jesper Andersson, Marin Litoiu, Bradley R. Schmerl, Gabriel Tamura, Norha M. Villegas, Thomas Vogel, Danny Weyns, Luciano Baresi, Basil Becker, Nelly Bencomo, Yuriy Brun, Bojan Cukic, Ronald J. Desmarais, Schahram Dustdar, Gregor Engels, Kurt Geihs, Karl M. Göschka, Alessandra Gorla, Vincenzo Grassi, Paola Inverardi, Gabor Karsai, Jeff Kramer, Antónia Lopes, Jeff Magee, Sam Malek, Serge Mankovski, Raffaela Mirandola, John Mylopoulos, Oscar Nierstrasz, Mauro Pezzè, Christian Prehofer, Wilhelm Schäfer, Richard D. Schlichting, Dennis B. Smith, João Pedro Sousa, Ladan Tahvildari, Kenny Wong, Jochen Wuttke
Software Engineering for Self-Adaptive Systems: A Second Research Roadmap. Software Engineering for Self-Adaptive Systems (2010)
Andrew Faulring, Brad A. Myers, Ken Mohnkern, Bradley R. Schmerl, Aaron Steinfeld, John Zimmerman, Asim Smailagic, Jeffery P. Hansen, Daniel P. Siewiorek
Agent-assisted task management that reduces email overload. IUI (2010)
Danny Weyns, Bradley R. Schmerl, Vincenzo Grassi, Sam Malek, Raffaela Mirandola, Christian Prehofer, Jochen Wuttke, Jesper Andersson, Holger Giese, Karl M. Göschka
On Patterns for Decentralized Control in Self-Adaptive Systems. Software Engineering for Self-Adaptive Systems (2010)
Rogério de Lemos, Holger Giese, Hausi A. Müller, Mary Shaw, Jesper Andersson, Luciano Baresi, Basil Becker, Nelly Bencomo, Yuriy Brun, Bojan Cukic, Ronald J. Desmarais, Schahram Dustdar, Gregor Engels, Kurt Geihs, Karl M. Göschka, Alessandra Gorla, Vincenzo Grassi, Paola Inverardi, Gabor Karsai, Jeff Kramer, Marin Litoiu, Antónia Lopes, Jeff Magee, Sam Malek, Serge Mankovskii, Raffaela Mirandola, John Mylopoulos, Oscar Nierstrasz, Mauro Pezzè, Christian Prehofer, Wilhelm Schäfer, Richard D. Schlichting, Bradley R. Schmerl, Dennis B. Smith, João Pedro Sousa, Gabriel Tamura, Ladan Tahvildari, Norha M. Villegas, Thomas Vogel, Danny Weyns, Kenny Wong, Jochen Wuttke
Software Engineering for Self-Adaptive Systems: A second Research Roadmap. Software Engineering for Self-Adaptive Systems (2010)
Shang-Wen Cheng, Vahe Poladian, David Garlan, Bradley R. Schmerl
Improving Architecture-Based Self-Adaptation through Resource Prediction. Software Engineering for Self-Adaptive Systems (2009)
Rahul Raheja, Shang-Wen Cheng, David Garlan, Bradley R. Schmerl
Improving Architecture-Based Self-adaptation Using Preemption. SOAR (2009)
David Garlan, Jeffrey M. Barnes, Bradley R. Schmerl, Orieta Celiku
Evolution styles: Foundations and tool support for software architecture evolution. WICSA/ECSA (2009)
Shang-Wen Cheng, David Garlan, Bradley R. Schmerl
RAIDE for engineering architecture-based self-adaptive systems. ICSE Companion (2009)
Shang-Wen Cheng, David Garlan, Bradley R. Schmerl
Evaluating the effectiveness of the Rainbow self-adaptive system. SEAMS (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Bradley R. Schmerl