15 citations · 28 across the 5 of their papers we have counts for
7 papers
Towards a Blockchain-Based CI/CD Framework to Enhance Security in Cloud Environments
Sabbir M Saleh, Nazim Madhavji, John Steinbacher
Security is becoming a pivotal point in cloud platforms. Several divisions, such as business organisations, health care, government, etc., have experienced cyber-attacks on their i…
Understanding Everything as Code: A Taxonomy and Conceptual Model
Haoran Wei, Nazim Madhavji, John Steinbacher
Background: Everything as Code (EaC) is an emerging paradigm aiming to codify all aspects of modern software systems. Despite its growing popularity, comprehensive industry standar…
Enhancing Cloud Security through Topic Modelling
Sabbir M. Saleh, Nazim Madhavji, John Steinbacher
Protecting cloud applications is critical in an era where security threats are increasingly sophisticated and persistent. Continuous Integration and Continuous Deployment (CI/CD) p…
A Systematic Literature Review on Continuous Integration and Deployment (CI/CD) for Secure Cloud Computing
Sabbir M. Saleh, Nazim Madhavji, John Steinbacher
As cloud environments become widespread, cybersecurity has emerged as a top priority across areas such as networks, communication, data privacy, response times, and availability. V…
Advancing Software Security and Reliability in Cloud Platforms through AI-based Anomaly Detection
Sabbir M. Saleh, Ibrahim Mohammed Sayem, Nazim Madhavji +1
Continuous Integration/Continuous Deployment (CI/CD) is fundamental for advanced software development, supporting faster and more efficient delivery of code changes into cloud envi…
Attention is Not Always What You Need: Towards Efficient Classification of Domain-Specific Text
Yasmen Wahba, Nazim Madhavji, John Steinbacher
For large-scale IT corpora with hundreds of classes organized in a hierarchy, the task of accurate classification of classes at the higher level in the hierarchies is crucial to av…
A Comparison of SVM against Pre-trained Language Models (PLMs) for Text Classification Tasks
Yasmen Wahba, Nazim Madhavji, John Steinbacher
The emergence of pre-trained language models (PLMs) has shown great success in many Natural Language Processing (NLP) tasks including text classification. Due to the minimal to no…