default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDBradley R. Schmerl
Person information
- affiliation: Carnegie Mellon University, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j35]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: 103768 (2024)- [j34]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): 64-73 (2024) - [j33]Bradley R. Schmerl, Javier Cámara, Martina Maggio:
Foreword: SEAMS 2022 Special Issue. ACM Trans. Auton. Adapt. Syst. 19(1): 1:1-1:3 (2024) - [c101]David Garlan, Bradley R. Schmerl, Rebekka Wohlrab, Javier Cámara:
Challenges in Creating Effective Automated Design Environments: An experience report from the domain of generative manufacturing. Designing@ICSE 2024: 15-20 - [c100]Paulo Canelas, Bradley R. Schmerl, Alcides Fonseca, Christopher Steven Timperley:
Understanding Misconfigurations in ROS: An Empirical Study and Current Approaches. ISSTA 2024: 1161-1173 - [i9]Md. Abir Hossen, Sonam Kharade, Jason M. O'Kane, Bradley R. Schmerl, David Garlan, Pooyan Jamshidi:
CURE: Simulation-Augmented Auto-Tuning in Robotics. CoRR abs/2402.05399 (2024) - [i8]Paulo Canelas, Bradley R. Schmerl, Alcides Fonseca, Christopher Steven Timperley:
Understanding Misconfigurations in ROS: An Empirical Study and Current Approaches. CoRR abs/2407.19292 (2024) - [i7]Hongrui Chen, Aditya Joglekar, Zack Rubinstein, Bradley R. Schmerl, Gary Fedder, Jan de Nijs, David Garlan, Stephen Smith, Levent Burak Kara:
Generative Manufacturing: A requirements and resource-driven approach to part making. CoRR abs/2409.03089 (2024) - 2023
- [j32]Rebekka Wohlrab, Javier Cámara, David Garlan, Bradley R. Schmerl:
Explaining quality attribute tradeoffs in automated planning for self-adaptive systems. J. Syst. Softw. 198: 111538 (2023) - [j31]Javier Cámara, Rebekka Wohlrab, David Garlan, Bradley R. Schmerl:
ExTrA: Explaining architectural design tradeoff spaces via dimensionality reduction. J. Syst. Softw. 198: 111578 (2023) - [j30]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): 4115-4122 (2023) - [c99]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: 32-42 - [i6]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 abs/2301.07690 (2023) - 2022
- [j29]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): 18-24 (2022) - [j28]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): 1277-1294 (2022) - [c98]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: 56 - [c97]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: 112-123 - [c96]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: 24-30 - [e5]Bradley R. Schmerl, Martina Maggio, Javier Cámara:
International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2022, Pittsburgh, PA, USA, May 22-24, 2022. ACM/IEEE 2022, ISBN 978-1-4503-9305-8 [contents] - [i5]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 abs/2206.12492 (2022) - 2021
- [j27]Ivano Malavolta, Grace A. Lewis, Bradley R. Schmerl, Patricia Lago, David Garlan:
Mining guidelines for architecting robotics software. J. Syst. Softw. 178: 110969 (2021) - [c95]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: 198-203 - [c94]Javier Cámara, Mariana Silva, David Garlan, Bradley R. Schmerl:
Explaining Architectural Design Tradeoff Spaces: A Machine Learning Approach. ECSA 2021: 49-65 - [c93]Nianyu Li, Javier Cámara, David Garlan, Bradley R. Schmerl, Zhi Jin:
Hey! Preparing Humans to do Tasks in Self-adaptive Systems. SEAMS@ICSE 2021: 48-58 - [c92]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: 217-223 - [i4]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 abs/2103.10847 (2021) - 2020
- [j26]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): 12:1-12:29 (2020) - [c91]Ashutosh Pandey, Ivan Ruchkin, Bradley R. Schmerl, David Garlan:
Hybrid Planning Using Learning and Model Checking for Autonomous Systems. ACSOS 2020: 55-64 - [c90]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: 65-74 - [c89]Thomas J. Glazier, David Garlan, Bradley R. Schmerl:
Automated Management of Collections of Autonomic Systems. ACSOS 2020: 82-91 - [c88]Nianyu Li, Javier Cámara, David Garlan, Bradley R. Schmerl:
Reasoning about When to Provide Explanation for Human-involved Self-Adaptive Systems. ACSOS 2020: 195-204 - [c87]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: 101-116 - [c86]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: 31-40 - [c85]Javier Cámara, Bradley R. Schmerl, David Garlan:
Software architecture and task plan co-adaptation for mobile service robots. SEAMS@ICSE 2020: 125-136
2010 – 2019
- 2019
- [j25]Javier Cámara, David Garlan, Bradley R. Schmerl:
Synthesizing tradeoff spaces with quantitative guarantees for families of software systems. J. Syst. Softw. 152: 33-49 (2019) - [j24]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): 11-13 (2019) - [j23]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): 83-90 (2019) - [c84]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: 42-45 - [c83]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: 39-50 - [e4]Tomás Bures, Bradley R. Schmerl, John S. Fitzgerald, Danny Weyns:
Proceedings of the 5th International Workshop on Software Engineering for Smart Cyber-Physical Systems, SEsCPS@ICSE 2019, Montreal, QC, Canada, May 28, 2019. IEEE / ACM 2019, ISBN 978-1-7281-2282-3 [contents] - [i3]Pooyan Jamshidi, Javier Cámara, Bradley R. Schmerl, Christian Kästner, David Garlan:
Machine Learning Meets Quantitative Planning: Enabling Self-Adaptation in Autonomous Robots. CoRR abs/1903.03920 (2019) - 2018
- [j22]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): 595-626 (2018) - [j21]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: 51-69 (2018) - [j20]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): 42-44 (2018) - [j19]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): 54 (2018) - [j18]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): 3:1-3:36 (2018) - [c82]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: 18:1-18:6 - [c81]Ivan Ruchkin, Joshua Sunshine, Grant Iraci, Bradley R. Schmerl, David Garlan:
IPL: An Integration Property Language for Multi-model Cyber-physical Systems. FM 2018: 165-184 - [c80]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: 137-143 - [e3]Tomás Bures, John S. Fitzgerald, Bradley R. Schmerl, Danny Weyns:
Proceedings of the 4th International Workshop on Software Engineering for Smart Cyber-Physical Systems, ICSE 2018, Gothenburg, Sweden, May 27, 2018. ACM 2018, ISBN 978-1-4503-5728-9 [contents] - 2017
- [j17]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): 19-24 (2017) - [j16]Bradley R. Schmerl, Paola Inverardi:
Introduction to the Special Section on Best Papers from SEAMS 2015. ACM Trans. Auton. Adapt. Syst. 11(4): 22:1-22:2 (2017) - [c79]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: 17-22 - [c78]Javier Cámara, David Garlan, Bradley R. Schmerl:
Synthesis and Quantitative Verification of Tradeoff Spaces for Families of Software Systems. ECSA 2017: 3-21 - [c77]Tomás Bures, Danny Weyns, Bradley R. Schmerl, John S. Fitzgerald:
SEsCPS 2017 Workshop Summary. SEsCPS@ICSE 2017: 1 - [c76]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: 42-53 - [c75]Ashutosh Pandey, Ivan Ruchkin, Bradley R. Schmerl, Javier Cámara:
Towards a Formal Framework for Hybrid Planning in Self-Adaptation. SEAMS@ICSE 2017: 109-115 - [c74]Ashutosh Pandey, Bradley R. Schmerl, David Garlan:
Instance-Based Learning for Hybrid Planning. FAS*W@SASO/ICCAC 2017: 64-69 - [c73]Javier Cámara, Wenxin Peng, David Garlan, Bradley R. Schmerl:
Reasoning About Sensing Uncertainty in Decision-Making for Self-adaptation. SEFM Workshops 2017: 523-540 - 2016
- [j15]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: 42-60 (2016) - [j14]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: 507-523 (2016) - [j13]Javier Cámara, Antónia Lopes, David Garlan, Bradley R. Schmerl:
Adaptation impact and environment models for architecture-based self-adaptive systems. Sci. Comput. Program. 127: 50-75 (2016) - [j12]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): 23:1-23:28 (2016) - [c72]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: 274-290 - [c71]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: 69-71 - [c70]Bradley R. Schmerl, Jeffrey Gennari, Javier Cámara, David Garlan:
Raindroid: a system for run-time mitigation of Android intent vulnerabilities [poster]. HotSoS 2016: 115-117 - [c69]Gabriel A. Moreno, Javier Cámara, David Garlan, Bradley R. Schmerl:
Efficient Decision-Making under Uncertainty for Proactive Self-Adaptation. ICAC 2016: 147-156 - [c68]Pedro Caldeira Neves, Bradley R. Schmerl, Javier Cámara, Jorge Bernardino:
Big Data in Cloud Computing: Features and Issues. IoTBD 2016: 307-314 - [c67]Ivan Ruchkin, Selva Samuel, Bradley R. Schmerl, Amanda Rico, David Garlan:
Challenges in physical modeling for adaptation of cyber-physical systems. WF-IoT 2016: 210-215 - 2015
- [c66]Ivan Ruchkin, Bradley R. Schmerl, David Garlan:
Architectural Abstractions for Hybrid Programs. CBSE 2015: 65-74 - [c65]Bradley R. Schmerl:
RADIANCE 2015 Keynote: Challenges in Engineering Dependable Self-Adaptive System. DSN Workshops 2015: 26 - [c64]Bradley R. Schmerl, Jeffrey Gennari, David Garlan:
An architecture style for Android security analysis: poster. HotSoS 2015: 15:1-15:2 - [c63]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: 20:1-20:2 - [c62]Ivan Ruchkin, Bradley R. Schmerl, David Garlan:
Analytic Dependency Loops in Architectural Models of Cyber-Physical Systems. ACES-MB&WUCOR@MoDELS 2015: 3-10 - [c61]Javier Cámara, David Garlan, Bradley R. Schmerl, Ashutosh Pandey:
Optimal planning for architecture-based self-adaptation via model checking of stochastic games. SAC 2015: 428-435 - [c60]Thomas J. Glazier, Javier Cámara, Bradley R. Schmerl, David Garlan:
Analyzing Resilience Properties of Different Topologies of Collective Adaptive Systems. SASO Workshops 2015: 55-60 - [c59]Gabriel A. Moreno, Javier Cámara, David Garlan, Bradley R. Schmerl:
Proactive self-adaptation under uncertainty: a probabilistic model checking approach. ESEC/SIGSOFT FSE 2015: 1-12 - [e2]Paola Inverardi, Bradley R. Schmerl:
10th IEEE/ACM International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2015, Florence, Italy, May 18-19, 2015. IEEE Computer Society 2015, ISBN 978-0-7695-5567-6 [contents] - 2014
- [j11]Jeffrey M. Barnes, David Garlan, Bradley R. Schmerl:
Evolution styles: foundations and models for software architecture evolution. Softw. Syst. Model. 13(2): 649-678 (2014) - [j10]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): 3178-3193 (2014) - [c58]Javier Cámara Moreno, Antónia Lopes, David Garlan, Bradley R. Schmerl:
Impact Models for Architecture-Based Self-adaptive Systems. FACS 2014: 89-107 - [c57]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: 2 - [c56]Paulo Casanova, David Garlan, Bradley R. Schmerl, Rui Abreu:
Diagnosing unobserved components in self-adaptive systems. SEAMS 2014: 75-84 - [c55]Vishal Dwivedi, David Garlan, Jürgen Pfeffer, Bradley R. Schmerl:
Model-Based Assistance for Making Time/Fidelity Trade-Offs in Component Compositions. ITNG 2014: 235-240 - 2013
- [c54]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: 3-30 - [c53]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: 64-89 - [c52]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: 154-187 - [c51]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: 13-22 - [c50]Paulo Casanova, David Garlan, Bradley R. Schmerl, Rui Abreu:
Diagnosing architectural run-time failures. SEAMS 2013: 103-112 - [c49]Perla Velasco Elizondo, Vishal Dwivedi, David Garlan, Bradley R. Schmerl, José Maria Fernandes:
Resolving Data Mismatches in End-User Compositions. IS-EUD 2013: 120-136 - [c48]Eric Yuan, Sam Malek, Bradley R. Schmerl, David Garlan, Jeff Gennari:
Architecture-based self-protecting software systems. QoSA 2013: 33-42 - 2012
- [j9]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): 2675-2677 (2012) - [c47]David Garlan, Vishal Dwivedi, Ivan Ruchkin, Bradley R. Schmerl:
Foundations and Tools for End-User Architecting. Monterey Workshop 2012: 157-182 - [i2]David Garlan, Vishal Dwivedi, Ivan Ruchkin, Bradley R. Schmerl:
Foundations and Tools for End-User Architecting. CoRR abs/1210.4981 (2012) - 2011
- [c46]Paulo Casanova, Bradley R. Schmerl, David Garlan, Rui Abreu:
Architecture-Based Run-Time Fault Diagnosis. ECSA 2011: 261-277 - [c45]Vishal Dwivedi, Perla Velasco Elizondo, José Maria Fernandes, David Garlan, Bradley R. Schmerl:
An Architectural Approach to End User Orchestrations. ECSA 2011: 370-378 - [c44]Ajinkya Bhave, Bruce H. Krogh, David Garlan, Bradley R. Schmerl:
View Consistency in Architectures for Cyber-Physical Systems. ICCPS 2011: 151-160 - [c43]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: 643-652 - 2010
- [c42]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: 1-32 - [c41]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: 76-107 - [c40]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: 61-70 - [e1]Danny Weyns, Sam Malek, Jesper Andersson, Bradley R. Schmerl:
Proceedings of the Second International Workshop on Self-Organizing Architectures, SOAR '10, Washington, DC, USA, June 7, 2010. ACM 2010, ISBN 978-1-4503-0087-2 [contents] - [i1]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
2000 – 2009
- 2009
- [j8]Akshay Rajhans, Shang-Wen Cheng, Bradley R. Schmerl, David Garlan, Bruce H. Krogh, Clarence Agbi, Ajinkya Bhave:
An Architectural Approach to the Design and Analysis of Cyber-Physical Systems. Electron. Commun. Eur. Assoc. Softw. Sci. Technol. 21 (2009) - [c39]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: 71-88 - [c38]