Final answer:
Normalization of software discovery models is achieved through standardization and categorization, which streamline the management of software. Standardization ensures consistency while categorization simplifies analysis and management of software attributes. These processes support effective predictive modeling and better software development practices.
Step-by-step explanation:
The student asked about normalizing software discovery models, particularly in the context of managing software applications and development processes. Normalization in this context typically refers to processes that make the management of software versions and deployments more systematic and streamlined. Two ways to normalize software discovery models include standardization and categorization.
Standardization involves creating common frameworks, guidelines, or protocols for software organization and development, thus ensuring consistency and predictability. On the other hand, categorization refers to the sorting and grouping of software components, resources, or services by type, purpose, or other relevant characteristics, which facilitates better analysis, understanding, and management.
The student might be confused about the context of normalization related to software discovery. Modeling in software development typically serves to replace the real system with a simplified version for analysis, as per given reference points. This process does not necessarily mean making the system more interesting or inserting more realistic properties; rather, it's about capturing the essence of the system with enough details for useful examination and predictive modeling of things like non-native species dispersal, as suggested in the associated literature.