Academic & Applied Research

Research & Publications

Exploring technology, data, quality, and intelligent systems through applied research.

Doctoral Research Focus · Doctor of Computer Science (DCS)

Predictive Defect Modeling & Intelligent Regression Scheduling in CI/CD

Investigating the integration of lightweight machine learning classifiers directly into continuous integration workflows, reducing test run overhead while surfacing defects earlier in the software development lifecycle.

Published Research2025Featured Paper

Machine Learning and Automated Defect Prediction in Agile QA Pipelines

Authors: Sakera Begum, Research Collaborators · International Journal of Software Engineering & Quality Assurance (IJSEQA)

AbstractThis paper investigates predictive machine learning models integrated within CI/CD pipelines to forecast regression defects before deployment. Using historical commit histories and code complexity metrics, the framework demonstrates an 18% improvement in early defect detection compared to conventional test scheduling algorithms.
#Software QA#Machine Learning#Defect Prediction#CI/CD#Quality Metrics
Conference Papers2024Featured Paper

Data Cleansing and Integrity Validation Frameworks for Heterogeneous Enterprise Datasets

Authors: Sakera Begum · Proceedings of the IEEE International Conference on Big Data and Information Systems

AbstractEnterprise analytics are heavily vulnerable to noise and inconsistent schemas in merged operational data. This paper proposes a robust heuristic framework combining rule-based schema validation with statistical anomaly detection, reducing data preparation overhead by 40% across tabular relational stores.
#Data Quality#Data Analytics#Data Cleansing#Enterprise Systems
Working Papers2026

Benchmarking Test Automation Frameworks for Web and Mobile Cloud Environments

Authors: Sakera Begum, Doctoral Seminar Committee · Doctor of Computer Science Working Paper Series, WUST

AbstractA comprehensive comparative study assessing performance, maintenance overhead, and reliability across modern test automation suites (Selenium, Playwright, Cypress) executing against distributed cloud test farms under varying network conditions.
#Automated Testing#Cloud Testing#Benchmarking#QA Frameworks