David S. Rosenblum

ORCID

Publication Activity (10 Years)

Years Active: 1985-2024
Publications (10 Years): 61

Top Venues

CoRR

ACM Trans. Softw. Eng. Methodol.

IJCAI

AAAI

Publications

Ajay Krishna Vajjala, Dipak Falgun Meher, Shrunal Pothagoni, Ziwei Zhu, David S. Rosenblum
Vietoris-Rips Complex: A New Direction for Cross-Domain Cold-Start Recommendation. SDM (2024)
Yuxuan Liang, Kun Ouyang, Yiwei Wang, Zheyi Pan, Yifang Yin, Hongyang Chen, Junbo Zhang, Yu Zheng, David S. Rosenblum, Roger Zimmermann
Mixed-Order Relation-Aware Recurrent Neural Networks for Spatio-Temporal Forecasting. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Yan Xiao, Yun Lin, Ivan Beschastnikh, Changsheng Sun, David S. Rosenblum, Jin Song Dong
Repairing Failure-inducing Inputs with Input Reflection. ASE (2022)
Ye Liu, Yuxuan Liang, Kun Ouyang, Shuming Liu, David S. Rosenblum, Yu Zheng
Predicting Urban Water Quality With Ubiquitous Data - A Data-Driven Approach. IEEE Trans. Big Data 8 (2) (2022)
Guoxin Su, Li Liu, Minjie Zhang, David S. Rosenblum
Quantitative Verification for Monitoring Event-Streaming Systems. IEEE Trans. Software Eng. 48 (2) (2022)
Kun Ouyang, Yuxuan Liang, Ye Liu, Zekun Tong, Sijie Ruan, Yu Zheng, David S. Rosenblum
Fine-Grained Urban Flow Inference. IEEE Trans. Knowl. Data Eng. 34 (6) (2022)
Yan Xiao, Yun Lin, Ivan Beschastnikh, Changsheng Sun, David S. Rosenblum, Jin Song Dong
Generalizing Neural Networks by Reflecting Deviating Data in Production. CoRR (2021)
Thilina Thanthriwatta, David S. Rosenblum
Instance Selection for Online Updating in Dynamic Recommender Environments. PAKDD (2) (2021)
Yan Xiao, Ivan Beschastnikh, David S. Rosenblum, Changsheng Sun, Sebastian G. Elbaum, Yun Lin, Jin Song Dong
Self-Checking Deep Neural Networks in Deployment. ICSE (2021)
Yan Xiao, Ivan Beschastnikh, David S. Rosenblum, Changsheng Sun, Sebastian G. Elbaum, Yun Lin, Jin Song Dong
Self-Checking Deep Neural Networks in Deployment. CoRR (2021)
Yuxuan Liang, Kun Ouyang, Junkai Sun, Yiwei Wang, Junbo Zhang, Yu Zheng, David S. Rosenblum, Roger Zimmermann
Fine-Grained Urban Flow Prediction. WWW (2021)
Kun Ouyang, Yuxuan Liang, Ye Liu, Zekun Tong, Sijie Ruan, Yu Zheng, David S. Rosenblum
Fine-Grained Urban Flow Inference. CoRR (2020)
Hui Li, Ye Liu, Nikos Mamoulis, David S. Rosenblum
Translation-Based Sequential Recommendation for Complex Users on Sparse Data. IEEE Trans. Knowl. Data Eng. 32 (8) (2020)
Yuxuan Liang, Kun Ouyang, Yiwei Wang, Ye Liu, Junbo Zhang, Yu Zheng, David S. Rosenblum
Revisiting Convolutional Neural Networks for Citywide Crowd Flow Analytics. ECML/PKDD (1) (2020)
Yuxuan Liang, Kun Ouyang, Junbo Zhang, Yu Zheng, David S. Rosenblum
Revisiting Convolutional Neural Networks for Urban Flow Analytics. CoRR (2020)
Kun Ouyang, Yuxuan Liang, Ye Liu, David S. Rosenblum, Wenzhuo Yang
Unsupervised Learning of Disentangled Location Embeddings. IJCNN (2020)
Thilina Thanthriwatta, David S. Rosenblum
Improving Dynamic Recommendation using Network Embedding for Context Inference. ICTAI (2020)
Zekun Tong, Yuxuan Liang, Changsheng Sun, Xinke Li, David S. Rosenblum, Andrew Lim
Digraph Inception Convolutional Networks. NeurIPS (2020)
Zekun Tong, Yuxuan Liang, Changsheng Sun, David S. Rosenblum, Andrew Lim
Directed Graph Convolutional Network. CoRR (2020)
David S. Rosenblum
Farewell Editorial from the Outgoing Editor-in-Chief. ACM Trans. Softw. Eng. Methodol. 28 (1) (2019)
Ye Liu, Hui Li, Alberto García-Durán, Mathias Niepert, Daniel Oñoro-Rubio, David S. Rosenblum
MMKG: Multi-Modal Knowledge Graphs. CoRR (2019)
Omar I. Al-Bataineh, David S. Rosenblum, Mark Reynolds
A Novel Decentralized LTL Monitoring Framework Using Formula Progression Table. SPIN (2019)
Omar I. Al-Bataineh, David S. Rosenblum, Mark Reynolds
Efficient Decentralized LTL Monitoring Framework Using Tableau Technique. ACM Trans. Embed. Comput. Syst. 18 (5s) (2019)
Nirandika Wanigasekara, Yuxuan Liang, Siong Thye Goh, Ye Liu, Joseph Jay Williams, David S. Rosenblum
Learning Multi-Objective Rewards and User Utility Function in Contextual Bandits for Personalized Ranking. IJCAI (2019)
Yuxuan Liang, Kun Ouyang, Lin Jing, Sijie Ruan, Ye Liu, Junbo Zhang, David S. Rosenblum, Yu Zheng
UrbanFM: Inferring Fine-Grained Urban Flows. KDD (2019)
David Shriver, Sebastian G. Elbaum, Matthew B. Dwyer, David S. Rosenblum
Evaluating Recommender System Stability with Influence-Guided Fuzzing. AAAI (2019)
Ye Liu, Hui Li, Alberto García-Durán, Mathias Niepert, Daniel Oñoro-Rubio, David S. Rosenblum
MMKG: Multi-modal Knowledge Graphs. ESWC (2019)
Yuxuan Liang, Kun Ouyang, Lin Jing, Sijie Ruan, Ye Liu, Junbo Zhang, David S. Rosenblum, Yu Zheng
UrbanFM: Inferring Fine-Grained Urban Flows. CoRR (2019)
David S. Rosenblum
Editorial. ACM Trans. Softw. Eng. Methodol. 27 (1) (2018)
Omar I. Al-Bataineh, David S. Rosenblum, Mark Reynolds
Efficient LTL Decentralized Monitoring Framework Using Formula Simplification Table. CoRR (2018)
David S. Rosenblum
Editorial. ACM Trans. Softw. Eng. Methodol. 27 (3) (2018)
Kun Ouyang, Reza Shokri, David S. Rosenblum, Wenzhuo Yang
A Non-Parametric Generative Model for Human Trajectories. IJCAI (2018)
Li Liu, Shu Wang, Bin Hu, Qingyu Xiong, Junhao Wen, David S. Rosenblum
Learning structures of interval-based Bayesian networks in probabilistic generative model for human complex activity recognition. Pattern Recognit. 81 (2018)
Yamilet R. Serrano Llerena, Marcel Böhme, Marc Brünink, Guoxin Su, David S. Rosenblum
Verifying the long-run behavior of probabilistic system models in the presence of uncertainty. ESEC/SIGSOFT FSE (2018)
Omar I. Al-Bataineh, Mark Reynolds, David S. Rosenblum
A Comparative Study of Decision Diagrams for Real-Time Model Checking. SPIN (2018)
Yamilet R. Serrano Llerena, Guoxin Su, David S. Rosenblum
Probabilistic model checking of perturbed MDPs with applications to cloud computing. ESEC/SIGSOFT FSE (2017)
Li Liu, Yongzhong Yang, Lakshmi Narasimhan Govindarajan, Shu Wang, Bin Hu, Li Cheng, David S. Rosenblum
An Interval-Based Bayesian Generative Model for Human Complex Activity Recognition. CoRR (2017)
Omar I. Al-Bataineh, Michael Fisher, David S. Rosenblum
Finding Maximum Expected Termination Time of Probabilistic Timed Automata Models with Cyclic behavior. CoRR (2017)
Marc Brünink, David S. Rosenblum
Using Branch Frequency Spectra to Evaluate Operational Coverage. APSEC (2017)
Guoxin Su, Taolue Chen, Yuan Feng, David S. Rosenblum
ProEva: runtime proactive performance evaluation based on continuous-time markov chains. ICSE (2017)
David S. Rosenblum
Editorial. ACM Trans. Softw. Eng. Methodol. 26 (2) (2017)
Ye Liu, Yuxuan Liang, Shuming Liu, David S. Rosenblum, Yu Zheng
Predicting Urban Water Quality with Ubiquitous Data. CoRR (2016)
Guoxin Su, David S. Rosenblum, Giordano Tamburrelli
Reliability of Run-Time Quality-of-Service evaluation using parametric model checking. ICSE (2016)
Guoxin Su, Yuan Feng, Taolue Chen, David S. Rosenblum
Asymptotic Perturbation Bounds for Probabilistic Model Checking with Empirically Determined Probability Parameters. IEEE Trans. Software Eng. 42 (7) (2016)
Guoxin Su, Taolue Chen, Yuan Feng, David S. Rosenblum, P. S. Thiagarajan
An Iterative Decision-Making Scheme for Markov Decision Processes and Its Application to Self-adaptive Systems. FASE (2016)
David S. Rosenblum
The power of probabilistic thinking. ASE (2016)
Ye Liu, Liqiang Nie, Li Liu, David S. Rosenblum
From action to activity: Sensor-based activity recognition. Neurocomputing 181 (2016)
Ye Liu, Luming Zhang, Liqiang Nie, Yan Yan, David S. Rosenblum
Fortune Teller: Predicting Your Career Path. AAAI (2016)
Ye Liu, Yu Zheng, Yuxuan Liang, Shuming Liu, David S. Rosenblum
Urban Water Quality Prediction Based on Multi-Task Multi-View Learning. IJCAI (2016)
David S. Rosenblum
Editorial. ACM Trans. Softw. Eng. Methodol. 25 (2) (2016)
Marc Brünink, David S. Rosenblum
Mining performance specifications. SIGSOFT FSE (2016)
Ye Liu, Liqiang Nie, Lei Han, Luming Zhang, David S. Rosenblum
Action2Activity: Recognizing Complex Activities from Sensor Data. CoRR (2016)
Li Liu, Li Cheng, Ye Liu, Yongpo Jia, David S. Rosenblum
Recognizing Complex Activities by a Probabilistic Interval-Based Model. AAAI (2016)
Matthew B. Dwyer, David S. Rosenblum
Editorial: Journal-First Publication for the Software Engineering Community. IEEE Trans. Software Eng. 42 (1) (2016)
Yongpo Jia, Xuemeng Song, Jingbo Zhou, Li Liu, Liqiang Nie, David S. Rosenblum
Fusing Social Networks with Deep Learning for Volunteerism Tendency Prediction. AAAI (2016)
Nirandika Wanigasekara, Jenny Schmalfuss, Darren Carlson, David S. Rosenblum
A Bandit Approach for Intelligent IoT Service Composition across Heterogeneous Smart Spaces. IOT (2016)
Ye Liu, Liqiang Nie, Lei Han, Luming Zhang, David S. Rosenblum
Action2Activity: Recognizing Complex Activities from Sensor Data. IJCAI (2015)
Jian Lu, David S. Rosenblum, Tevfik Bultan, Valérie Issarny, Schahram Dustdar, Margaret-Anne D. Storey, Dongmei Zhang
Roundtable: The Future of Software Engineering for Internet Computing. IEEE Softw. 32 (1) (2015)
Darren Carlson, Matthias Mogerle, Max Pagel, Shivam Verma, David S. Rosenblum
Ambient flow: A visual approach for remixing the Internet of Things. IOT (2015)
Matthew B. Dwyer, David S. Rosenblum
Editorial Journal-First Publication for the Software Engineering Community. ACM Trans. Softw. Eng. Methodol. 25 (1) (2015)
David S. Rosenblum
The pros and cons of the 'PACM' proposal: counterpoint. Commun. ACM 58 (9) (2015)
Sebastian G. Elbaum, David S. Rosenblum
Known unknowns: testing in the presence of uncertainty. SIGSOFT FSE (2014)
Guoxin Su, David S. Rosenblum
Nested Reachability Approximation for Discrete-Time Markov Chains with Univariate Parameters. ATVA (2014)
David S. Rosenblum
Editorial. ACM Trans. Softw. Eng. Methodol. 23 (4) (2014)
David S. Rosenblum
Editorial. ACM Trans. Softw. Eng. Methodol. 23 (2) (2014)
Taolue Chen, Yuan Feng, David S. Rosenblum, Guoxin Su
Perturbation Analysis in Verification of Discrete-Time Markov Chains. CONCUR (2014)
Guoxin Su, David S. Rosenblum
Perturbation analysis of stochastic systems with empirical distribution parameters. ICSE (2014)
David S. Rosenblum
Editorial. ACM Trans. Softw. Eng. Methodol. 23 (1) (2014)
Guoxin Su, David S. Rosenblum
Asymptotic Bounds for Quantitative Verification of Perturbed Probabilistic Systems CoRR (2013)
Fokion Zervoudakis, David S. Rosenblum, Sebastian G. Elbaum, Anthony Finkelstein
Cascading verification: an integrated method for domain-specific model checking. ESEC/SIGSOFT FSE (2013)
David S. Rosenblum
In memoriam: David Notkin (1955-2013). ACM Trans. Softw. Eng. Methodol. 22 (3) (2013)
Leticia Duboc, Emmanuel Letier, David S. Rosenblum
Systematic Elaboration of Scalability Requirements through Goal-Obstacle Analysis. IEEE Trans. Software Eng. 39 (1) (2013)
Grace A. Lewis, Jeff Gray, Henry Muccini, Nachiappan Nagappan, David S. Rosenblum, Emad Shihab
1st international workshop on the engineering of mobile-enabled systems (MOBS 2013). ICSE (2013)
David S. Rosenblum
Editorial - looking forward. ACM Trans. Softw. Eng. Methodol. 22 (1) (2013)
Guoxin Su, David S. Rosenblum
Asymptotic Bounds for Quantitative Verification of Perturbed Probabilistic Systems. ICFEM (2013)
Grace A. Lewis, Nachiappan Nagappan, Jeff Gray, David S. Rosenblum, Henry Muccini, Emad Shihab
Report of the 2013 ICSE 1st international workshop on engineering mobile-enabled systems (MOBS 2013): 12. ACM SIGSOFT Softw. Eng. Notes 38 (5) (2013)
Xinxi Wang, David S. Rosenblum, Ye Wang
Context-aware mobile music recommendation for daily activities. ACM Multimedia (2012)
Xinxi Wang, Ye Wang, David S. Rosenblum
A daily, activity-aware, mobile music recommender system. ACM Multimedia (2012)
Charles Lucas, Sebastian G. Elbaum, David S. Rosenblum
Detecting problematic message sequences and frequencies in distributed systems. OOPSLA (2012)
Javier Cubo, Michele Sama, Franco Raimondi, David S. Rosenblum
A Model to Design and Verify Context-Aware Adaptive Service Composition. JISBD (2010)
Michele Sama, David S. Rosenblum, Zhimin Wang, Sebastian G. Elbaum
Multi-layer faults in the architectures of mobile, context-aware adaptive applications. J. Syst. Softw. 83 (6) (2010)
Panagiotis Papakos, Licia Capra, David S. Rosenblum
VOLARE: context-aware adaptive cloud service discovery for mobile systems. ARM (2010)
Leticia Duboc, David S. Rosenblum, Emmanuel Letier
Death, Taxes, & Scalability. IEEE Softw. 27 (4) (2010)
Michele Sama, Sebastian G. Elbaum, Franco Raimondi, David S. Rosenblum, Zhimin Wang
Context-Aware Adaptive Applications: Fault Patterns and Their Automated Identification. IEEE Trans. Software Eng. 36 (5) (2010)
Antonia Bertolino, Wolfgang Grieskamp, Robert M. Hierons, Yves Le Traon, Bruno Legeard, Henry Muccini, Amit M. Paradkar, David S. Rosenblum, Jan Tretmans
Model-Based Testing for the Cloud. Practical Software Testing: Tool Automation and Human Factors (2010)
Howard Foster, Arun Mukhija, David S. Rosenblum, Sebastián Uchitel
Engage: Engineering Service Modes with WS-Engineer and Dino. ICSOC/ServiceWave (2009)
Panagiotis Papakos, David S. Rosenblum, Arun Mukhija, Licia Capra
VOLARE: Adaptive Web Service Discovery Middleware for Mobile Systems. Electron. Commun. Eur. Assoc. Softw. Sci. Technol. 19 (2009)
Javier Cubo, Michele Sama, Franco Raimondi, David S. Rosenblum
A Model to Design and Verify Context-Aware Adaptive Service Composition. IEEE SCC (2009)
Costin Raiciu, Felipe Huici, Mark Handley, David S. Rosenblum
ROAR: increasing the flexibility and performance of distributed search. SIGCOMM (2009)
David S. Rosenblum
Software system scalability: concepts and techniques. ISEC (2009)
Michele Sama, David S. Rosenblum, Zhimin Wang, Sebastian G. Elbaum
Model-based fault detection in context-aware adaptive applications. SIGSOFT FSE (2008)
Michele Sama, Franco Raimondi, David S. Rosenblum, Wolfgang Emmerich
Algorithms for efficient symbolic detection of faults in context-aware applications. ASE Workshops (2008)
Leticia Duboc, Emmanuel Letier, David S. Rosenblum, Tony Wicks
A Case Study in Eliciting Scalability Requirements. RE (2008)
Michele Sama, David S. Rosenblum, Zhimin Wang, Sebastian G. Elbaum
Multi-layer faults in the architectures of mobile, context-aware adaptive applications: a position paper. SAM@ICSE (2008)
David S. Rosenblum, Alexander L. Wolf
ACM SIGSOFT impact paper award: reflections and prospects. SIGSOFT FSE (2008)
Andy Maule, Wolfgang Emmerich, David S. Rosenblum
Impact analysis of database schema changes. ICSE (2008)
Howard Foster, Arun Mukhija, David S. Rosenblum, Sebastián Uchitel
A Model-Driven Approach to Dynamic and Adaptive Service Brokering Using Modes. ICSOC (2008)
Genaína Nunes Rodrigues, David S. Rosenblum, Jonas Wolf
Reliability Analysis of Concurrent Systems Using LTSA. ICSE Companion (2007)
Arun Mukhija, Andrew Dingwall-Smith, David S. Rosenblum
QoS-Aware Service Composition in Dino. ECOWS (2007)
Zhimin Wang, Sebastian G. Elbaum, David S. Rosenblum
Automated Generation of Context-Aware Tests. ICSE (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

David S. Rosenblum