CASCON

Publications

2023

Joydeep Mukherjee, Sumona Mukhopadhyay, Marin Litoiu
Detecting Software Anomalies Using Spectrograms and Convolutional Neural Network. CASCON (2023)
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. CASCON (2023)
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. CASCON (2023)
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. CASCON (2023)
Rouzbeh Paktinatkeleshteri, João P. L. de Carvalho, Ehsan Amiri, José Nelson Amaral
Efficient Auto-Vectorization for Control-flow Dependent Loops through Data Permutation. CASCON (2023)
Kostas Kontogiannis, Daniel Amyot, John Mylopoulos
3rd Workshop on Software Techniques for Engineering Cyber-Physical Systems. CASCON (2023)
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. CASCON (2023)
Alexander Brandt, Marc Moreno Maza, Taabish Jeshani, Linxiao Wang, Davood Mohajerani, Jeeva Paudel
Dynamically Finding Optimal Kernel Launch Parameters for CUDA Programs. CASCON (2023)
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. CASCON (2023)
Wejdene Haouari, Marios Fokaefs
Towards a Standardization of Fractionalization Smart Contracts for Non-Fungible Tokens. CASCON (2023)
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. CASCON (2023)
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. CASCON (2023)
Hao Jiang, Konstantinos Tsiounis, Kostas Kontogiannis
Digital Twin Models for Resource Oriented Service Systems. CASCON (2023)
alma Begum Tamannam, Gias Uddin, Lan Xia, Longyu Zhang
Characterizing Issue Management in Runtime Systems. CASCON (2023)
Nancy Chahal, Joran Siu, Michael Dawson, Kenneth B. Kent
Optimizing Application Throughput with Condition-based Autoscaling and Employing Alternatives to Scaling In/Out. CASCON (2023)
Christopher Kumar Anand, Steven Gonder, Lucas Dutton, William O'Farrell
Accelerating and Visualizing Modulo Arithmetic using Multiple Radices. CASCON (2023)
Savas Yildirim, Mucahit Cevik, Ayse Basar
Few-shot Learning Approaches to Software Requirement Quality Prediction. CASCON (2023)
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. CASCON (2023)
Ruiqi Tian, Santiago Gomez-Rosero, Miriam A. M. Capretz
Machine Learning for Health Conditions Prognostic of HVAC Systems. CASCON (2023)
Paula Branco, Nuno Moniz, Guy-Vincent Jourdan
First Workshop on Machine Learning Challenges in Cybersecurity. CASCON (2023)
Proceedings of the 33rd Annual International Conference on Computer Science and Software Engineering, CASCON 2023, Las Vegas, NV, USA, September 11-14, 2023 CASCON (2023)
Haoran Wei, Nazim H. Madhavji, John Steinbacher
MAGen: A Tool for Generating Microservice-Based Skeleton Applications. CASCON (2023)
Harpreet Kaur, Marius Pirvu, Kenneth B. Kent
Performance Evaluation of Template-based JIT Compilation in OpenJ9. CASCON (2023)
Genady Ya. Grabarnik, Filippo Poltronieri, Mauro Tortonesi, Mattia Zaccarini, Larisa Shwartz
Using Simulation and DT to Improve Performance of Systems Operation Modeling. CASCON (2023)
Garima Malik, Mucahit Cevik, Ayse Basar
Data Augmentation for Conflict and Duplicate Detection in Software Engineering Sentence Pairs. CASCON (2023)
Hajer Ayadi, Jimmy X. Huang, Aijun An, Yiming Shao, Hao Zhou, Hossein Pourmodheji
TAMG: Topology-Aware Multi-GPU Allocation via Deep Reinforcement Learning. CASCON (2023)
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. CASCON (2023)
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. CASCON (2023)
Paria Shirani, Sagar Bhatt, Asmaa Hailane, Guy-Vincent Jourdan
Towards Cross-Architecture Binary Code Vulnerability Detection. CASCON (2023)
Hao Jiang, Tinny Ng, Kostas Kontogiannis, Joe Wigglesworth
Smart Interactions of Inter-networked Service Oriented Resources. CASCON (2023)
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. CASCON (2023)
Tet Yeap
Analyzing the Impact of Farming Practices on N2O Emissions and Crop Yield Through Sensing. CASCON (2023)
Masih Hashemi, François Rivest
Optimistically Initializing DQN. CASCON (2023)
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. CASCON (2023)
Lucas M. Dutton, Christopher K. Anand, Robert F. Enenkel, Silvia Melitta Müller
Optimized Circuit to Correct Outliers in Floating-Point Functions. CASCON (2023)
Mingyang Xu, Ryan Liu, Ladan Tahvildari, Mark Stoodley
An Educational Course on Self-Adaptive Systems using IBM Technologies. CASCON (2023)
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. CASCON (2023)
Jingfeng Pan, Yunfei Peng, Kaiyu Li, Aijun An, Xiaohui Yu, Dariusz Jania
Optimizing Data Migration Using Online Clustering. CASCON (2023)
Michelle Alexopoulos, Kelly A. Lyons, Kaushar Mahetaji, Marcus Emmanuel Barnes, Rogan Gutwillinger
Gender Inference: Can ChatGPT Outperform Common Commercial Tools? CASCON (2023)

2022