The Single Responsibility Principle (SRP) states that a function or module should have one and only one reason to change, which means it should perform one specific job or responsibility. This helps in making the code more maintainable and understandable.

The Evolutionary model of software evolution focuses on making the software adaptable without altering its core functions. This approach often involves iterative development and incremental updates to enhance the software's functionality while maintaining its core features. It is a popular choice for software systems that need to evolve over time to meet changing requirements.

The Agile model emphasizes incremental development and testing, which allows for continuous revision and adaptation throughout the project. Agile projects break down work into small increments, and each increment is developed, tested, and revised, promoting flexibility and adaptability.

Violating the Liskov Substitution Principle (LSP) in a polymorphic system can lead to unexpected behavior and system issues. LSP states that subtypes must be substitutable for their base types without altering the desirable properties of the program. Violations can result in runtime errors or unexpected behavior, undermining the correctness and stability of the system.

Perfective maintenance involves making modifications to improve performance, enhance usability, or add new features to the software. It focuses on enhancing the software's functionality and user experience.

The primary objective of software maintenance is to correct defects in the software. This includes identifying and fixing bugs, errors, and issues that may have arisen after the software's initial release.

Quality Assurance in the Waterfall model is often considered rigid due to its linear and phase-dependent approach. In Waterfall, each phase must be completed before moving to the next, making it inflexible for changes or adaptations after each phase begins.

The primary objective of conducting a software audit is to ensure compliance with established processes and standards. Software audits help identify deviations from best practices and ensure that the software development process is in line with defined guidelines and standards. It's a critical aspect of quality assurance.

Normalization and denormalization are design strategies in database systems. In read-heavy applications, normalization reduces redundancy but may slow down queries due to multiple joins. Denormalization can improve read performance but may increase redundancy and maintenance complexity. The choice depends on the specific application requirements.

In a system with multiple interconnected modules, a crucial consideration during integration testing is ensuring proper data flow between the modules. This involves validating that data is passed correctly and processed as expected when modules interact.