Computing, School of
The School of Computing has developed its program through research and scholarship and has become one of the leading establishments in its field. The School is in the process of expanding, particularly in the areas of software design and engineering, and biomedical computing.
This community includes research outputs produced by faculty and students. Submitting works to QSpace may enable compliance with the Tri-Agency Open Access Policy on Publications.
When you submit your work to QSpace, you retain copyright and grant the Library a non-exclusive license to distribute and preserve. Works are open access unless restricted by the creator.
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Recent Submissions
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On the Maintenance of Crowdsourced Knowledge on Stack Overflow
The enormous quantity of software artifacts (e.g., code, documentations, and online discussions) created by developers are in great need for maintenance. Among software artifacts built by developers, Stack Overflow, a ... -
Towards Reliability Evaluation and Integration in Cloud Resource Management
The adoption of cloud computing technology is increasing day by day due to its enormous services and low cost. Customers transfer their businesses to cloud because of the beneficial cloud features such as scalability, high ... -
Studying Dependency Maintenance Practices Through the Mining of Data from npm Packages
Open source software ecosystems have gained significant importance in the last decade. In a software ecosystem, client packages can enable a dependency to reuse the functionalities of a provider package. On the one hand, ... -
Composition of Transformations in Feature-Based Registration
Accurate registration of medical images is crucial to the successful deployment of computer assisted interventions or surgical navigation systems. Nonrigid registration techniques are important when considering soft tissues ... -
Machine Learning QoE Prediction for Video Streaming over HTTP
Streaming video services have been growing rapidly in the past decade due to the wide adoption of more capable mobile devices such as smartphones and tablets, together with the deployment of higher capacity mobile networks ... -
An Analysis of Motion Smoothness in Video Object Detection
Machine learning in computer vision has become an invaluable aspect of research on object detection and object tracking. While advancements in current research aim to improve the matching of predictions with ground truth ... -
Lightweight Authenticated Encryption for Vehicle Controller Area Network
Vehicle manufacturers are installing a large number of Electronic Control Units (ECU) inside vehicles. ECUs communicate among themselves via a Controller Area Network (CAN) to ensure better user experience and safety. CAN ... -
Deep Learning for Legal and Medical Text Analytics
Applications of deep learning using text have shown wide success in detecting human emotions, analyzing social media feeds, classifying text and creating compressed representations. While deep learning has been widely ... -
Aiming with Assistance: Player Balancing for Differences in Fine Motor Ability
A significant barrier to players’ enjoyment of video games is the competitive nature of many multiplayer games. It can be difficult for people with different abilities to enjoy playing together. Player balancing (such as ... -
Theoretical and Practical Considerations of Learning Algorithms in Image-guided Interventions
Image-guided Interventions (IGI) have revolutionized medical practice and improved the quality of life for patients by enabling less invasive surgeries and treatments. Recent advancements in computing power and learning ... -
Software Security Flaw Prediction Using Rich Contextualized Language Use Vectors: A Case Study on the Linux Kernel
One of the major threats to the security of software systems is the occurrence of security vulnerabilities, which can potentially cause a variety of problems including, but not limited to, information loss, privilege ... -
Interpreting Mass Spectrometry Images Using Stacked Learning
Desorption electrospray ionization mass spectrometry (DESI-MS) allows for hyperspectral analysis of tissue samples non-destructively under ambient conditions. A downside of such a bountiful source of data is that the high ... -
Migrating web Applications from SQL to NoSQL Databases
In the Big Data era, data is emerging dramatically and the structure of data is becoming increasingly flexible. Non-Relational databases, such as the NoSQL class of Databases, are playing a major role as an enabler technology ... -
Synthesis and Verification of Models using Satisfiability Modulo Theories
Model-driven development (MDD) advocates using models as the primary software development artifacts in place of source code. Automatic synthesis and verification of models are essential to simplify the process of creation ... -
A model-based architecture for interactive run-time monitoring
(2020)We present a model-based architecture for monitoring executions of models of real-time and embedded systems. This architecture is highly configurable and allows for the combination of various run-time monitoring tools, not ... -
Behavioral Modelling from Encrypted Remote Desktop Protocol Network Traffic
Traditional traffic monitoring relies on availability of unencrypted payload data inside of network packets, on which pattern match analysis is performed. With the growth in network traffic encryption, user behavioral ... -
Software Defect Prediction Using Rich Contextualized Language Use Vectors
Context. Software defect prediction aims to find defect prone source code, and thus reduce the effort, time and cost involved with ensuring the quality of software systems. Both code and non-code metrics are commonly used ... -
Dynamic Access Control Framework for Internet of Things
In the near future, IoT ecosystems will enable billions of smart things to interconnect and communicate information about themselves and their physical environments. The high density of smart things in these environments ... -
Computational Estimation of Personal Properties From Language
Research in natural language and other modalities is starting to shed light on individuals personal properties. Estimating the personal properties of an individual or a group of individuals is the task of detecting ... -
Studying the Distribution Platforms for Game Mods to Create Active Modding Communities
Gamer loyalty is important for the sales of a game. However, the gaming industry and the needs of gamers are rapidly increasing, making it difficult for game developers to address these needs. Game mods are modifications ...
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