Risk Management in Software Re-Engineering Projects

Lecture 39 of SE602 Software Re-Engineering investigates risk management protocols across large-scale software modernization projects. Re-engineering projects carry unique risk profiles compared to greenfield development: implicit requirements may be missed, historical bug fixes may be accidentally discarded as anomalies, and original subject matter experts may no longer be available. Students examine formal risk management stages: risk identification, risk projection (evaluating probability and impact), risk mitigation, monitoring, and management (RMMM plans). The lecture details tactical mitigation strategies including automated characterization test suites, incremental vertical slice deliveries, feature toggles, automated database rollbacks, and shadow operational runs, ensuring enterprise operations remain resilient throughout transformation lifecycles. Mastering these foundational software re-engineering paradigms empowers software engineers to systematically revitalize enterprise legacy platforms. Analytical exercises and architectural traces help students prepare thoroughly for Virtual University midterm and final term examinations. The curriculum systematically aligns theoretical software evolution principles with practical source code modernization across industrial codebases. Reviewing the accompanying lecture handouts and metric tables reinforces understanding of coupling, cohesion, and architectural decay. Consistent evaluation of control flow graphs, call graph hierarchies, and database schemas ensures robust preparation for academic assessments. Students investigate the trade-offs between system replacement, wrapping legacy components, and iterative code refactoring transformations. The discussion highlights how Lehman laws of evolution, system complexity growth, and declining quality necessitate continuous code restructuring. Key concepts including static program analysis, dynamic execution tracing, and characterization test safety nets are thoroughly demystified. The lecture details classical object-oriented re-engineering patterns demonstrated across standard enterprise software architectures. Structured refactoring methodologies are demonstrated using Martin Fowler catalogs, method extraction, and polymorphism replacement. Software quality attributes, maintainability index equations, and technical debt principal valuations are evaluated alongside empirical benchmarks. Architectural recovery processes are explored through module dependency analysis, component clustering, and high-level design reconstruction. Database schema normalization, legacy record migration, and automated ETL extraction pipelines are systematically analyzed. Monolithic application decomposition strategies including service-oriented architecture (SOA) and the Strangler Fig pattern are examined in depth.