
During a two-month period, Thosahan Haluwana developed and enhanced backend and frontend services for the agarasia/SER516_Spring25_Teams_3_and_4_Backend repository, focusing on modularity and deployment efficiency. He built a Dockerized Afferent Coupling API service in Java and Spring Boot, exposing repository metrics via REST endpoints to support architectural decisions. His work included removing MongoDB dependencies, implementing token-based access, and expanding automated CI/CD pipelines using GitHub Actions and Docker Compose. Thosahan also improved test coverage, error handling, and documentation, while addressing bugs and code hygiene. His contributions demonstrated depth in backend development, DevOps, and continuous integration practices using Java and Python.
April 2025 monthly summary for SER516 Teams 3 & 4 across Backend and Frontend. The month delivered a cohesive set of feature enhancements, reliability improvements, and expanded CI/CD coverage that directly increases deployment speed, quality, and maintainability. Key backend work focused on Afferent coupling service improvements, Docker Compose and README updates, MongoDB removal with token-based access for private repos, and expanded test coverage. Frontend introduced an automated CI/CD workflow with Node.js setup, dependency caching fixes, and reliability improvements in GitHub Actions. The team also implemented CI workflows for Efferent Coupling, Defect Density, and Python services, along with documentation and Dockerfile updates. In parallel, multiple bug fixes improved stability and test reliability, including LCOM4/LCOMHS test fixes and Defect Score service tests, as well as CI workflow corrections. This combination reduces build failures, accelerates deployment, and enhances cross-team collaboration through standardized tooling and documentation.
April 2025 monthly summary for SER516 Teams 3 & 4 across Backend and Frontend. The month delivered a cohesive set of feature enhancements, reliability improvements, and expanded CI/CD coverage that directly increases deployment speed, quality, and maintainability. Key backend work focused on Afferent coupling service improvements, Docker Compose and README updates, MongoDB removal with token-based access for private repos, and expanded test coverage. Frontend introduced an automated CI/CD workflow with Node.js setup, dependency caching fixes, and reliability improvements in GitHub Actions. The team also implemented CI workflows for Efferent Coupling, Defect Density, and Python services, along with documentation and Dockerfile updates. In parallel, multiple bug fixes improved stability and test reliability, including LCOM4/LCOMHS test fixes and Defect Score service tests, as well as CI workflow corrections. This combination reduces build failures, accelerates deployment, and enhances cross-team collaboration through standardized tooling and documentation.
March 2025: Delivered the Afferent Coupling API Service for the agarasia/SER516_Spring25_Teams_3_and_4_Backend repository. The service computes afferent coupling for Java classes in a repository and exposes the results via a REST API. The solution is Dockerized with a dedicated Dockerfile and documented to simplify deployment, testing, and onboarding. No high-severity bugs were reported this month; the focus was on feature delivery and operational readiness. Business value: provides automated, API-accessible coupling metrics to inform modularization decisions, architectural reviews, and health checks, reducing time-to-insight and enabling data-driven refactors. Technologies demonstrated include Java-based service development, REST API design, Docker containerization, and clear documentation for usage and deployment.
March 2025: Delivered the Afferent Coupling API Service for the agarasia/SER516_Spring25_Teams_3_and_4_Backend repository. The service computes afferent coupling for Java classes in a repository and exposes the results via a REST API. The solution is Dockerized with a dedicated Dockerfile and documented to simplify deployment, testing, and onboarding. No high-severity bugs were reported this month; the focus was on feature delivery and operational readiness. Business value: provides automated, API-accessible coupling metrics to inform modularization decisions, architectural reviews, and health checks, reducing time-to-insight and enabling data-driven refactors. Technologies demonstrated include Java-based service development, REST API design, Docker containerization, and clear documentation for usage and deployment.

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