Software Maintenance: An Approach to Impact Analysis of Objects Change - Samuel A. Ajila (Softw. Pract. Exp., 1995)

Maintenance logicielle : analyse d'impact, problématique et mise en oeuvre. - Samuel A. Ajila (1995)

DPET - A Simple C++ Design Pattern Extraction Tool. - Samuel Ajila; Peng Xie (Software Engineering Research and Practice, 2003)

Reverse Engineering C++ Software System - Starting From Code to Design Information and Design Patterns. - Samuel A. Ajila; Peng Xie (CCCT (2), 2004)

Using Traceability Mechanisms to Support Software Product Line Evolution. - Samuel Ajila; Badara Ali Kaba (IRI, 2004)

Knowledge Management: Impact of Knowledge Delivery Factors on Software Product Development Efficiency. - Samuel Ajila; Zheng Sun (IRI, 2004)

Experience Report on the Effect of Market Reposition on Product Line Evolution. - Razvan T. Dumitrescu; Antonio J. Bailetti; Samuel Ajila (IRI, 2004)

Reusing base product features to develop product line architecture. - Samuel Ajila (IRI, 2005)

The impact of firm size on knowledge reuse and exploration during software product development: An empirical study. - Samuel Ajila (IRI, 2006)

Using Constraints with Action Language for Model Evolution. - Shahid Alam; Samuel A. Ajila (Software Engineering Research and Practice, 2007)

Experimental use of code delta, code churn, and rate of change to understand software product line evolution. - Samuel Ajila; Razvan T. Dumitrescu (J. Syst. Softw., 2007)

Empirical study of the effects of open source adoption on software development economics. - Samuel Ajila; Di Wu (J. Syst. Softw., 2007)

Evolution support mechanisms for software product line process. - Samuel A. Ajila; Ali B. Kaba (J. Syst. Softw., 2008)

Using a Formal Language Constructs for Software Model Evolution. - Samuel A. Ajila; Shahid Alam (ICSC, 2009)

Using Model Transformation Semantics for Aspect Composition. - Samuel A. Ajila; Dorina C. Petriu; Pantanowitz Motshegwa (ICSC, 2010)

Impact of Aspect-Oriented Programming on Software Performance: A Case Study of Leader/Followers and Half-Sync/Half-Async Architectures. - Wen-Lin Liu; Chung-Horng Lung; Samuel Ajila (COMPSAC, 2011)

E-CAL: A formal language for software model evolution. - Samuel A. Ajila (IRI, 2011)

Mobile databases - Synchronization & conflict resolution strategies using SQL server. - Samuel A. Ajila; Ahmed Al-Asaad (IRI, 2011)

Reusing and converting code clones to aspects - An algorithmic approach. - Samuel Ajila; Angad S. Gakhar; Chung-Horng Lung; Marzia Zaman (IRI, 2012)

Software architecture decomposition using adaptive K-nearest neighbor algorithm. - Abdulaziz Alkhalid; Chung-Horng Lung; Samuel Ajila (CCECE, 2013)

Predicting cloud resource provisioning using machine learning techniques. - Akindele A. Bankole; Samuel A. Ajila (CCECE, 2013)

Design and implementation of experimental SPB network simulator on NS-3. - Yoonsoon Chang; Samuel A. Ajila (CCECE, 2013)

Towards Efficient Software Deployment in the Cloud Using Requirements Decomposition. - Abdulaziz Alkhalid; Chung-Horng Lung; Samuel Ajila (CloudCom (2), 2013)

Cloud Client Prediction Models Using Machine Learning Techniques. - Samuel A. Ajila; Akindele A. Bankole (COMPSAC, 2013)

Software Architecture Decomposition Using Clustering Techniques. - Abdulaziz Alkhalid; Chung-Horng Lung; Duo Liu; Samuel Ajila (COMPSAC, 2013)

Software Requirements Elicitation - A Controlled Experiment to Measure the Impact of a Native Natural Language. - Sajjad Mahmood; Samuel A. Ajila (COMPSAC, 2013)

Efficient live wide area VM migration with IP address change using type II hypervisor. - Samuel A. Ajila; Omhenimhen Iyamu (IRI, 2013)

Cloud Client Prediction Models for Cloud Resource Provisioning in a Multitier Web Application Environment. - Akindele A. Bankole; Samuel A. Ajila (SOSE, 2013)

The Impact of Native Language on Use Case Modeling : A Controlled Experiment. - Sajjad Mahmood; Samuel A. Ajila (J. Softw., 2013)

Measuring Prediction Sensitivity of a Cloud Auto-scaling System. - Ali Yadavar Nikravesh; Samuel A. Ajila; Chung-Horng Lung (COMPSAC Workshops, 2014)

Cloud Resource Auto-scaling System Based on Hidden Markov Model (HMM). - Ali Yadavar Nikravesh; Samuel A. Ajila; Chung-Horng Lung (ICSC, 2014)

Aspectualization of code clones - an algorithmic approach. - Samuel A. Ajila; Angad S. Gakhar; Chung-Horng Lung (Inf. Syst. Frontiers, 2014)

Measuring the performance of aspect oriented software: A case study of Leader/Followers and Half-Sync/Half-Async architectures. - Chung-Horng Lung; Samuel A. Ajila; Wen-Lin Liu (Inf. Syst. Frontiers, 2014)

Constraint-Based Multi-Tenant SaaS Deployment Using Feature Modeling and XML Filtering Techniques. - Yang Cao; Chung-Horng Lung; Samuel A. Ajila (COMPSAC Workshops, 2015)

Adaptive Clustering Techniques for Software Components and Architecture. - Duo Liu; Chung-Horng Lung; Samuel A. Ajila (COMPSAC Workshops, 2015)

Evaluating Sensitivity of Auto-Scaling Decisions in an Environment with Different Workload Patterns. - Ali Yadavar Nikravesh; Samuel Ajila; Chung-Horng Lung (COMPSAC, 2015)

Seamless Live Virtual Machine Migration with Cloudlets and Multipath TCP. - Fikirte Teka; Chung-Horng Lung; Samuel Ajila (COMPSAC, 2015)

Towards an Autonomic Auto-scaling Prediction System for Cloud Resource Provisioning. - Ali Yadavar Nikravesh; Samuel A. Ajila; Chung-Horng Lung (SEAMS@ICSE, 2015)

Mobile Network Traffic Prediction Using MLP, MLPWD, and SVM. - Ali Yadavar Nikravesh; Samuel A. Ajila; Chung-Horng Lung; Wayne Ding (BigData Congress, 2016)

An Empirical Investigation of Mobile Network Traffic Data for Resource Management. - Man Si; Chung-Horng Lung; Samuel Ajila; Wayne Ding (BigData Congress, 2016)

Empirical Investigation of Code and Process Metrics for Defect Prediction. - Wenjing Han; Chung-Horng Lung; Samuel A. Ajila (BigMM, 2016)

Nearby live virtual machine migration using cloudlets and multipath TCP. - Fikirte Teka; Chung-Horng Lung; Samuel A. Ajila (J. Cloud Comput., 2016)

Using Source Code and Process Metrics for Defect Prediction - A Case Study of Three Algorithms and Dimensionality Reduction. - Wenjing Han; Chung-Horng Lung; Samuel Ajila (J. Softw., 2016)

Automated Constraint-Based Multi-tenant SaaS Configuration Support Using XML Filtering Techniques. - Azadeh Etedali; Chung-Horng Lung; Samuel Ajila; Igor Veselinovic (COMPSAC (2), 2017)

An Adaptive Diversity-Based Ensemble Method for Binary Classification. - Xing Fan; Chung-Horng Lung; Samuel A. Ajila (COMPSAC (1), 2017)

The Impact of Database Layer on Auto-Scaling Decisions in a 3-Tier Web Services Cloud Resource Provisioning. - Ali Yadavar Nikravesh; Samuel A. Ajila; Chung-Horng Lung (COMPSAC (2), 2017)

LXC Container Migration in Cloudlets under Multipath TCP. - Yuqing Qiu; Chung-Horng Lung; Samuel Ajila; Pradeep Srivastava (COMPSAC (2), 2017)

An autonomic prediction suite for cloud resource provisioning. - Ali Yadavar Nikravesh; Samuel A. Ajila; Chung-Horng Lung (J. Cloud Comput., 2017)

Hybrid Relabeled Model for Network Intrusion Detection. - Bhumika Patel; Zaheenabanu Somani; Samuel A. Ajila; Chung-Horng Lung (iThings/GreenCom/CPSCom/SmartData, 2018)

Using genetic algorithms to find optimal solution in a search space for a cloud predictive cost-driven decision maker. - Ali Yadavar Nikravesh; Samuel A. Ajila; Chung-Horng Lung (J. Cloud Comput., 2018)

A Comprehensive Analysis of Accuracies of Machine Learning Algorithms for Network Intrusion Detection. - Anurag Das; Samuel A. Ajila; Chung-Horng Lung (MLN, 2019)

Experimental evaluation of LXC container migration for cloudlets using multipath TCP. - Yuqing Qiu; Chung-Horng Lung; Samuel Ajila; Pradeep Srivastava (Comput. Networks, 2019)

Support mechanisms for cloud configuration using XML filtering techniques: A case study in SaaS. - Yang Cao; Chung-Horng Lung; Samuel A. Ajila; Xiaolin Li (Future Gener. Comput. Syst., 2019)

Increasing Prediction Accuracy for Human Activity Recognition Using Optimized Hyperparameters. - Niyati R. Darji; Samuel A. Ajila (IEEE BigData, 2020)

Forecasting Air Pollution using a Modified Compositional Learning Approach. - Samuel A. Ajila; Karthik Dilliraj (IEEE BigData, 2021)

Evaluating Deep Neural Nets and Optimized Hyperparameters Random Forest for Decision Support Systems. - Samuel A. Ajila; Nidheesh Vijay (IRI, 2021)

Pre-connect Handover Management for 5G Networks. - Yao Wei; Ricardo Paredes Cabrera; Chung-Horng Lung; Samuel Ajila (FNWF, 2022)

A Semisupervised Approach to Predicting a Twitch Streamer's Growth based on the Game Streamed. - Andrew Dybka; Dominic Kocjan; Samuel A. Ajila (IEEE Big Data, 2022)

Using CNN-LSTM Model for Weather Forecasting. - Michael Fan; Omar Imran; Arka Singh; Samuel A. Ajila (IEEE Big Data, 2022)

Analysis of Airfare during Pandemic: A Multi-Agent Based Modeling Approach. - Abdul Mutakabbir; Chung-Horng Lung; Samuel A. Ajila (IEEE Big Data, 2022)

Deep Learning and Few-Shot Learning in the Detection of Skin Cancer: An Overview. - Olusoji Akinrinade; Chunglin Du; Samuel Ajila; Toluwase A. Olowookere (FTC (1), 2022)

Using KullBack-Liebler Divergence Based Meta-learning Algorithm for Few-Shot Skin Cancer Image Classification: Literature Review and a Conceptual Framework. - Olusoji B. Akinrinade; Chunglin Du; Samuel Ajila (ICACDS (2), 2022)

Multilayer Meta-Learning Approach to Forecasting Air Pollutants. - Samuel A. Ajila (IRI, 2022)

A Deep Learning Sequential-based Model for Predicting Victories in Video Games. - François Blanc; Azhar Syed; Ali Mohammadi Esfahani; Sandeep Reddy Venna; Samuel A. Ajila (IRI, 2022)

Dynamic Packet Filtering Using Machine Learning. - Chandan Sai Chebrolu; Chung-Horng Lung; Samuel A. Ajila (IRI, 2022)

Analysis of error-based machine learning algorithms in network anomaly detection and categorization. - Samuel A. Ajila; Chung-Horng Lung; Anurag Das (Ann. des Télécommunications, 2022)

Forest Fire Prediction Using Multi-Source Deep Learning. - Abdul Mutakabbir; Chung-Horng Lung; Samuel A. Ajila; Marzia Zaman; Kshirasagar Naik; Richard Purcell; Srinivas Sampalli (BDTA, 2023)

Explainable Long-Term Forecasting of Air Pollution. - Abdul Mutakabbir; Samuel A. Ajila (IEEE Big Data, 2023)

Spatio-Temporal Agnostic Deep Learning Modeling of Forest Fire Prediction Using Weather Data. - Abdul Mutakabbir; Chung-Horng Lung; Samuel A. Ajila; Marzia Zaman; Kshirasagar Naik; Richard Purcell; Srinivas Sampalli (COMPSAC, 2023)

Deep Q-Networks Assisted Pre-connect Handover Management for 5G Networks. - Yao Wei; Chung-Horng Lung; Samuel Ajila; Ricardo Paredes Cabrera (VTC2023-Spring, 2023)

A Federated Learning Framework Based on Spatio-Temporal Agnostic Subsampling (STAS) for Forest Fire Prediction. - Abdul Mutakabbir; Chung-Horng Lung; Samuel A. Ajila; Kshirasagar Naik; Marzia Zaman; Richard Purcell; Srinivas Sampalli; Thambirajah Ravichandran (COMPSAC, 2024)

Understanding Defects in Generated Codes by Language Models. - Ali Mohammadi Esfahani; Nafiseh Kahani; Samuel A. Ajila (CoRR, 2024)