Metrics for the Analysis Model-
These metrics are used to examine the analysis model with the objective of predicting the size of the resultant system. Size acts as an indicator of increased coding, integration, and testing effort; sometimes it also acts as an indicator of complexity involved in the software design. Function point and lines of code are the commonly used methods for size estimation.

Function Point (FP) Metric:
The function point metric, which was proposed by A.J Albrecht, is used to measure the functionality delivered by the system, estimate the effort, predict the number of errors, and estimate the number of components in the system.

Lines of Code (LOC):

Lines of code (LOC) is one of the most widely used methods for size estimation. LOC can be defined as the number of delivered lines of code, excluding comments and blank lines. It is highly dependent on the programming language used as code writing varies from one programming language to another.

Metrics for design model-
The success of a software project depends largely on the quality and effectiveness of the software design. Hence, it is important to develop software metrics from which meaningful indicators can be derived. With the help of these indicators, necessary steps are taken to design the software according to the user requirements. Various design metrics such as architectural design metrics, component-level design metrics, user-interface design metrics, and metrics for object-oriented design are used to indicate the complexity, quality, and so on of the software design.

Architectural Design Metrics:
These metrics focus on the features of the program architecture with stress on architectural structure and effectiveness of components (or modules) within the architecture.

Many software quality indicators that are based on measurable design characteristics of a computer program have been proposed. One of them is Design Structural Quality Index (DSQI), which is derived from the information obtained from data and architectural design. To calculate DSQI, a number of steps are followed, which are listed below.

1. To calculate DSQI, the following values must be determined.

Number of components in program architecture (S1)
Number of components whose correct function is determined by the Source of input data (S2)
Number of components whose correct function· depends on previous processing (S3)
Number of database items (S4)
Number of different database items (S5)
Number of database segments (S6)
Number of components having single entry and exit (S7).