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ORCIDCASCON 2023: Las Vegas, NV, USA
- Paria Shirani, Iosif-Viorel Onut, Paula Branco:
Proceedings of the 33rd Annual International Conference on Computer Science and Software Engineering, CASCON 2023, Las Vegas, NV, USA, September 11-14, 2023. ACM 2023
Full Papers: Cloud
- Haoran Wei, Nazim H. Madhavji, John Steinbacher:
MAGen: A Tool for Generating Microservice-Based Skeleton Applications. 4-13 - Hao Jiang, Tinny Ng, Kostas Kontogiannis, Joe Wigglesworth:
Smart Interactions of Inter-networked Service Oriented Resources. 14-23
Full Papers: Cognitive/AI systems
- Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Donald D. Cowan:
Artificial Intelligence vs. Software Engineers: An Empirical Study on Performance and Efficiency using ChatGPT. 24-33 - Garima Malik, Mucahit Cevik, Ayse Basar:
Data Augmentation for Conflict and Duplicate Detection in Software Engineering Sentence Pairs. 34-43 - Joydeep Mukherjee, Sumona Mukhopadhyay, Marin Litoiu:
Detecting Software Anomalies Using Spectrograms and Convolutional Neural Network. 44-53 - alma Begum Tamannam, Gias Uddin, Lan Xia, Longyu Zhang:
Characterizing Issue Management in Runtime Systems. 54-63 - Alexander Brandt, Marc Moreno Maza, Taabish Jeshani, Linxiao Wang, Davood Mohajerani, Jeeva Paudel:
Dynamically Finding Optimal Kernel Launch Parameters for CUDA Programs. 64-73
Full Papers: Compiler and Runtimes
- Rouzbeh Paktinatkeleshteri, João P. L. de Carvalho, Ehsan Amiri, José Nelson Amaral:
Efficient Auto-Vectorization for Control-flow Dependent Loops through Data Permutation. 74-83 - Nancy Chahal, Joran Siu, Michael Dawson, Kenneth B. Kent:
Optimizing Application Throughput with Condition-based Autoscaling and Employing Alternatives to Scaling In/Out. 84-93 - Lucas M. Dutton, Christopher K. Anand, Robert F. Enenkel, Silvia Melitta Müller:
Optimized Circuit to Correct Outliers in Floating-Point Functions. 94-102 - Harpreet Kaur, Marius Pirvu, Kenneth B. Kent:
Performance Evaluation of Template-based JIT Compilation in OpenJ9. 103-112 - Nathan Henderson, Iain Ireland, Matthew Gaudet, João P. L. de Carvalho, José Nelson Amaral:
Stub Folding: Retaining Type Specialization to Increase the Efficiency of Highly Polymorphic Inline Caches. 113-122
Full Papers: Privacy and Security
- Christopher Kumar Anand, Steven Gonder, Lucas Dutton, William O'Farrell:
Accelerating and Visualizing Modulo Arithmetic using Multiple Radices. 123-131 - Wejdene Haouari, Marios Fokaefs:
Towards a Standardization of Fractionalization Smart Contracts for Non-Fungible Tokens. 132-141
Short Papers: Cloud
- Mingyang Xu, Ryan Liu, Ladan Tahvildari, Mark Stoodley:
An Educational Course on Self-Adaptive Systems using IBM Technologies. 143-148
Short Papers: Cognitive/AI Systems
- Sudip Chatterjee, Shubh Sharma, Nithin Ivan, Saumya Verma, Suprio Ray, Mark Stoodley, Calisto Zuzarte, Ian Finlay:
Compilation of SQL Queries for Efficient Distributed In-Memory Processing. 149-154 - Savas Yildirim, Mucahit Cevik, Ayse Basar:
Few-shot Learning Approaches to Software Requirement Quality Prediction. 155-160 - Michelle Alexopoulos, Kelly A. Lyons, Kaushar Mahetaji, Marcus Emmanuel Barnes, Rogan Gutwillinger:
Gender Inference: Can ChatGPT Outperform Common Commercial Tools? 161-166 - Asmita Sharma, Pranshul Lakhanpal, Marin Litoiu, Lauren E. Sergio, Sumona Mukhopadhyay:
MMF-DRL: Multimodal Fusion-Deep Reinforcement Learning Approach with Domain-Specific Features for Classifying Time Series Data. 167-172 - Jingfeng Pan, Yunfei Peng, Kaiyu Li, Aijun An, Xiaohui Yu, Dariusz Jania:
Optimizing Data Migration Using Online Clustering. 173-178 - Masih Hashemi, François Rivest:
Optimistically Initializing DQN. 179-184
Short Papers: Compiler and Runtimes
- Hajer Ayadi, Jimmy X. Huang, Aijun An, Yiming Shao, Hao Zhou, Hossein Pourmodheji:
TAMG: Topology-Aware Multi-GPU Allocation via Deep Reinforcement Learning. 185-190
Short Papers: Privacy and Security
- Paria Shirani, Sagar Bhatt, Asmaa Hailane, Guy-Vincent Jourdan:
Towards Cross-Architecture Binary Code Vulnerability Detection. 191-196
Workshops: LLMs and AIOps
- Hausi A. Müller, Marin Litoiu, Luis F. Rivera, Mohammadreza Rasolroveicy, Norha M. Villegas, Gabriel Tamura, Ian Watts, Eric Erpenbach, Laura Shwartz:
Proactive Continuous Operations using Large Language Models (LLMs) and AIOps. 198-199 - Komal Sarda, Zakeya Namrud, Raphael Rouf, Harit Ahuja, Mohammadreza Rasolroveicy, Marin Litoiu, Larisa Shwartz, Ian Watts:
ADARMA Auto-Detection and Auto-Remediation of Microservice Anomalies by Leveraging Large Language Models. 200-205 - Xi Yang, Saurabh Jha, Paulito Palmes, Bekir O. Turkkan, Gerard Vanloo, Chandra Narayanaswami, Larisa Shwartz:
Meta-learning Generalized AIOps Models for Multi-cloud Computer using Digital Twins. 206-210 - Luis F. Rivera, Norha M. Villegas, Gabriel Tamura, Hausi A. Müller, Ian Watts, Eric Erpenbach, Laura Shwartz, Xiaotong Liu:
Using Digital Twins for Software Change Risk Assessment Toward Proactive AIOps. 211-216 - Genady Ya. Grabarnik, Filippo Poltronieri, Mauro Tortonesi, Mattia Zaccarini, Larisa Shwartz:
Using Simulation and DT to Improve Performance of Systems Operation Modeling. 217-221
Workshops: Cyber-Physical Systems
- Kostas Kontogiannis, Daniel Amyot, John Mylopoulos:
3rd Workshop on Software Techniques for Engineering Cyber-Physical Systems. 222-223 - Tet Yeap:
Analyzing the Impact of Farming Practices on N2O Emissions and Crop Yield Through Sensing. 224-225 - Hao Jiang, Konstantinos Tsiounis, Kostas Kontogiannis:
Digital Twin Models for Resource Oriented Service Systems. 226-229 - Gabriel Paulos, Tongkun Zhang, Yuqiu Zhang, Gerry Zhu, Jeyhun Karimov, Hans-Arno Jacobsen:
Efficient Data Transfer in Shared-storage Cloud Data Processing Systems with OPTICS. 230-234 - Daniel Amyot, Luigi Logrippo, John Mylopoulos, Marco Roveri, Amal Ahmed Anda, Alireza Parvizimosaed, Sofana Alfuhaid, Sepehr Sharifi, Aidin Rasti, Regan Meloche, Daniel Sousa-Diaz:
Engineering Smart Contracts with Symboleo: A Progress Report. 235-237 - Ruiqi Tian, Santiago Gomez-Rosero, Miriam A. M. Capretz:
Machine Learning for Health Conditions Prognostic of HVAC Systems. 238-241 - Raphael Rouf, Mohammadreza Rasolroveicy, Harit Ahuja, Zakeya Namrud, Ian Watts, Komal Sarda, Marin Litoiu:
Models for Detecting Performance Anomalies and Identifying Root Causes in Microservices Applications. 242-244 - Tet Hin Yeap, Iluju Kiringa, Paula Branco, Patrick Killeen, Ci Lin, Bernard Asare, David Owusu, Futong Li:
Predicting Crop Yields and Nitrous Oxide Emissions Using Data Collected at the Area X.0 Smart Farming Research Fields: A Progress Report. 245-247
Workshops: Cybersecurity and AI
- Paula Branco, Nuno Moniz, Guy-Vincent Jourdan:
First Workshop on Machine Learning Challenges in Cybersecurity. 248-250
Workshops: ML for Data Management
- Amin Kamali, Calisto Zuzarte, Verena Kantere, Jaroslaw Szlichta, Yueting Chen, Xiaohui Yu, Ning Wang:
ML4DM '23: The Third Workshop on the Emerging Applications of Machine Learning in Modern Data Management. 251-253
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