Building Contingencies into Specifications. - Armstrong Nhlabatsi; Robin C. Laney; Bashar Nuseibeh (RE, 2008)

Feature Interaction as a Context Sharing Problem. - Armstrong Nhlabatsi; Robin C. Laney; Bashar Nuseibeh (ICFI, 2009)

Towards a Unified Framework for Contextual Variability in Requirements. - Raian Ali; Yijun Yu; Ruzanna Chitchyan; Armstrong Nhlabatsi; Paolo Giorgini (IWSPM, 2009)

Initialisation Problems in Feature Composition. - Armstrong Nhlabatsi (2009)

Security Requirements Engineering for Evolving Software Systems: A Survey. - Armstrong Nhlabatsi; Bashar Nuseibeh; Yijun Yu (Int. J. Secur. Softw. Eng., 2010)

Traceability for Adaptive Information Security in the Cloud. - Armstrong Nhlabatsi; Thein Than Tun; Niamul Khan; Yijun Yu; Arosha K. Bandara; Khaled M. Khan; Bashar Nuseibeh (IEEE CLOUD, 2014)

Managing Security Control Assumptions Using Causal Traceability. - Armstrong Nhlabatsi; Yijun Yu; Andrea Zisman; Thein Than Tun; Niamul Khan; Arosha K. Bandara; Khaled M. Khan; Bashar Nuseibeh (SST@ICSE, 2015)

A Process Model for Customisation of Software in Multi-tenant SaaS Model. - Khaled M. Khan; Armstrong Nhlabatsi; Niamul Khan (UCC, 2015)

"Why can't I do that?": Tracing Adaptive Security Decisions. - Armstrong Nhlabatsi; Thein Than Tun; Niamul Khan; Yijun Yu; Arosha K. Bandara; Khaled M. Khan; Bashar Nuseibeh (EAI Endorsed Trans. Self Adapt. Syst., 2015)

Requirements and specifications for adaptive security: concepts and analysis. - Thein Than Tun; M. Yang; Arosha K. Bandara; Yijun Yu; Armstrong Nhlabatsi; Niamul Khan; Khaled M. Khan; Bashar Nuseibeh (SEAMS@ICSE, 2018)

Spiral^SRA: A Threat-Specific Security Risk Assessment Framework for the Cloud. - Armstrong Nhlabatsi; Jin B. Hong; Dong Seong Kim 001; Rachael Fernandez; Noora Fetais; Khaled M. Khan (QRS, 2018)

Dynamic security metrics for measuring the effectiveness of moving target defense techniques. - Jin B. Hong; Simon Yusuf Enoch; Dong Seong Kim 001; Armstrong Nhlabatsi; Noora Fetais; Khaled M. Khan (Comput. Secur., 2018)

CloudSafe: A Tool for an Automated Security Analysis for Cloud Computing. - SeongMo An; Taehoon Eom; Jong Sou Park; Jin Bum Hong; Armstrong Nhlabatsi; Noora Fetais; Khaled M. Khan; Dong Seong Kim 001 (TrustCom/BigDataSE, 2019)

Systematic identification of threats in the cloud: A survey. - Jin B. Hong; Armstrong Nhlabatsi; Dong Seong Kim 001; Alaa Hussein; Noora Fetais; Khaled M. Khan (Comput. Networks, 2019)

Design and Implementation of a Threat-Specific Security Risk Assessment Tool. - Armstrong Nhlabatsi; Alaa Hussein; Noora Fetais; Khaled M. Khan (ICIoT, 2020)

Threat-Specific Security Risk Evaluation in the Cloud. - Armstrong Nhlabatsi; Jin B. Hong; Dong Seong Kim 001; Rachael Fernandez; Alaa Hussein; Noora Fetais; Khaled M. Khan (IEEE Trans. Cloud Comput., 2021)

Live migration of virtual machine memory content in networked systems. - Raseena M. Haris; Khaled M. Khan; Armstrong Nhlabatsi (Comput. Networks, 2022)

Data-Leashing: Towards a Characterization of The Problem and Its Solution. - Thowayba M. Elkaffash; Armstrong Nhlabatsi (DSA, 2023)

Interactive Graphical Access Control Tools. - Rachael Fernandez; Peter C.-H. Cheng; Ben Smith; Tania Fenton; Yehia Boraey; Armstrong Nhlabatsi; Khaled M. Khan; Noora Fetais (VL/HCC, 2023)

Effective Collaboration in the Management of Access Control Policies: A Survey of Tools. - Rachael Fernandez; Peter C.-H. Cheng; Armstrong Nhlabatsi; Khaled Md. Khan; Noora Fetais (IEEE Access, 2023)

Quantifying Satisfaction of Security Requirements of Cloud Software Systems. - Armstrong Nhlabatsi; Khaled Md. Khan; Jin B. Hong; Dong Seong Kim 001; Rachael Fernandez; Noora Fetais (IEEE Trans. Cloud Comput., 2023)

Optimizing Domestic Energy Consumption: A Comprehensive Plug for Enhanced Monitoring and Efficiency. - Md. Mosarrof Hossen; Aya Nabil Sayed; Faycal Bensaali; Tamim M. Al-Hasan; Munshi Sajidul Islam; Armstrong Nhlabatsi (BDCAT, 2024)

Navigating the Edge: A Comprehensive Comparison of Machine Learning Algorithms on Prominent Edge Platforms. - Aya Nabil Sayed; Tamim Mahmud Al-Hasan; Faycal Bensaali; Armstrong Nhlabatsi (ISPR (1), 2024)

A Survey on the use of Federated Learning in Privacy-Preserving Recommender Systems. - Christos Chronis; Iraklis Varlamis; Yassine Himeur; Aya Nabil Sayed; Tamim M. Al-Hasan; Armstrong Nhlabatsi; Faycal Bensaali; George Dimitrakopoulos 001 (IEEE Open J. Comput. Soc., 2024)

A machine learning-based optimization approach for pre-copy live virtual machine migration. - Raseena M. Haris; Khaled M. Khan; Armstrong Nhlabatsi; Mahmoud Barhamgi (Clust. Comput., 2024)

Optimizing pre-copy live virtual machine migration in cloud computing using machine learning-based prediction model. - Raseena M. Haris; Mahmoud Barhamgi; Armstrong Nhlabatsi; Khaled M. Khan (Computing, 2024)

Correction to: Optimizing pre‑copy live virtual machine migration in cloud computing using machine learning‑based prediction model. - Raseena M. Haris; Mahmoud Barhamgi; Armstrong Nhlabatsi; Khaled M. Khan (Computing, 2024)

How demographic and appearance cues of a potential social engineer influence trust perception and risk-taking among targets? - Israa Abuelezz; Mahmoud Barhamgi; Armstrong Nhlabatsi; Khaled Md. Khan; Raian Ali (Inf. Comput. Secur., 2025)

Enhancing Security and Performance in Live VM Migration: A Machine Learning-Driven Framework With Selective Encryption for Enhanced Security and Performance in Cloud Computing Environments. - Raseena M. Haris; Mahmoud Barhamgi; Ahmed Badawy; Armstrong Nhlabatsi; Khaled M. Khan (Expert Syst. J. Knowl. Eng., 2025)

How do gender and age similarities with a potential social engineer influence one's trust and willingness to take security risks? - Israa Abuelezz; Mahmoud Barhamgi; Sameha Alshakhsi; Ala Yankouskaya; Armstrong Nhlabatsi; Khaled M. Khan; Raian Ali (Int. J. Inf. Sec., 2025)