Software Metrics Overview
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Match the following software size metrics with their descriptions:

Lines of Code (LOC) = Count of total lines, including blank and comment lines Non-Commented LOC (NCLOC) = Count of lines excluding blank and comment lines Token Count = Sum of unique operators and operands Function Points (FP) = Measurement of business functionality provided to users

Match each term with its corresponding attribute:

Lines of Code (LOC) = Used to estimate implementation time Token Count = Includes unique operators and occurrences Function Points (FP) = Comprised of five major components Non-Commented LOC (NCLOC) = Does not include data declarations

Match the size metrics to their potential uses:

Lines of Code (LOC) = Determining module size Function Points (FP) = Understanding business functionality Token Count = Analyzing code complexity Non-Commented LOC (NCLOC) = Estimating code efficiency

Match the following components with their correct complexity levels:

<p>External Inputs = Low complexity: 3 External Outputs = Low complexity: 4 Logical Internal Files = Low complexity: 7</p> Signup and view all the answers

Match the software metric with its calculation basis:

<p>Lines of Code (LOC) = Count of all code lines Function Points (FP) = Components of user functionality Token Count = Occurrences of operators and operands Non-Commented LOC (NCLOC) = Excludes comments and blanks</p> Signup and view all the answers

Match each measurement with its focus area:

<p>Lines of Code (LOC) = Source code size Token Count = Code elements count Function Points (FP) = User requirements Non-Commented LOC (NCLOC) = Code performance measurement</p> Signup and view all the answers

Match the software metrics with their typical implementations:

<p>Lines of Code (LOC) = Analyze large codebases Function Points (FP) = Assess software projects Token Count = Measure code quality Non-Commented LOC (NCLOC) = Optimize code reviews</p> Signup and view all the answers

Match each software size metric with its defining feature:

<p>Function Points (FP) = Business functionality assessment Lines of Code (LOC) = Physical code representation Token Count = Internal code structure Non-Commented LOC (NCLOC) = Clean code calculation</p> Signup and view all the answers

Match the following size metrics with their definitions:

<p>Lines Of Code (LOC) = Measure of the number of lines in the source code Function Points (FP) = Measure of software functionality based on user requirements Token Count = Count of distinct elements in the source code including keywords Weight Methods per Class (WMC) = Summation of complexity of all methods in a class</p> Signup and view all the answers

Match the following software metrics with their categories:

<p>CBO = Coupling metric DIT = Inheritance metric NOC = Inheritance hierarchy metric WMC = Complexity metric</p> Signup and view all the answers

Match the following concepts with their implications in object-oriented programming:

<p>High CBO value = Indicates tightly coupled classes Low DIT value = Fewer levels of inheritance High NOC value = More reusable class High WMC value = More complex methods in a class</p> Signup and view all the answers

Match the following metrics with their characteristics:

<p>CBO = Normal range is between 1 to 4 DIT = Maximum inheritance path from node to root class NOC = Number of immediate subclasses WMC = Predicts implementation and maintenance time</p> Signup and view all the answers

Match the following metrics with their potential impact:

<p>CBO = Affects testability and upgrading DIT = Affects reusability of subclasses NOC = Indicates method testing requirements WMC = Impacts overall complexity of a class</p> Signup and view all the answers

Match the following software metrics with their measurement focus:

<p>LOC = Size of the code base FP = User-defined functionality Token Count = Elements counted in code WMC = Complexity per method</p> Signup and view all the answers

Match the following complexity measurements with their descriptions:

<p>Weight Methods per Class (WMC) = Summation of method complexities Lines Of Code (LOC) = Total lines written excluding comments Function Points (FP) = Estimates system functionality Token Count = Unique keyword tally in code</p> Signup and view all the answers

Match the following size metrics with their primary purpose:

<p>Lines Of Code (LOC) = Assessing code size for maintainability Function Points (FP) = Determining scope of software requirements Token Count = Analyzing code elements for optimization Weight Methods per Class (WMC) = Evaluating method complexity in classes</p> Signup and view all the answers

Match the following metrics with their definitions:

<p>Size Metrics = Measure of the size or complexity of a software product Lines Of Code (LOC) = Counts the number of lines in the source code Function Points (FP) = Measure of functionality delivered to the user Token Count = Counts the number of distinct tokens in source code</p> Signup and view all the answers

Match the classification of software metrics to their descriptions:

<p>Products = Explicit results of software development activities Processes = Activities related to production of software Resources = Inputs into software development activities like hardware or people Management metrics = Metrics to oversee and evaluate project progress and problems</p> Signup and view all the answers

Match the following software metrics with their primary usage:

<p>Size Metrics = Assess software complexity Lines Of Code (LOC) = Estimate development effort and cost Function Points (FP) = Estimate the size based on user requirements Token Count = Analyze code quality and maintainability</p> Signup and view all the answers

Match the types of software metrics with their examples:

<p>Implementation metrics = Metrics assessing code quality and structure Testing metrics = Assess effectiveness of testing procedures Designing metrics = Evaluate design patterns and structures Management metrics = Monitor project milestones and deliverables</p> Signup and view all the answers

Match the size metrics with their measurement methods:

<p>Function Points (FP) = Based on functionality delivered Lines Of Code (LOC) = Count lines of source code Size Metrics = General assessment of software size Token Count = Count unique programming tokens</p> Signup and view all the answers

Match the way software metrics are categorized with their characteristics:

<p>Object Oriented metrics = Focus on class and design characteristics Service Oriented Architecture metrics = Measure reusability of components through service interfaces Component Based Software Engineering metrics = Evaluate component interactions and complexities Testing metrics = Used to assess and measure testing effectiveness</p> Signup and view all the answers

Match the following concepts related to software metrics with their definitions:

<p>Size metric = Direct measure of software size Object Oriented metrics = Assess quality centered around object-oriented design Service-oriented architecture = Defines reusable software components via service interfaces Component-Based Software Engineering = Enhances understanding of software components</p> Signup and view all the answers

Match the following classifications of software metrics to examples:

<p>Testing metrics = Evaluating test coverage and defect density Implementation metrics = Analyzing source code to improve maintainability Designing metrics = Assessing design efficiency and modularity Management metrics = Tracking resource allocation and project timelines</p> Signup and view all the answers

Study Notes

Software Metrics

  • Software metric is a standard of measure for a software system or process.
  • Size metric is a direct measure of software.
  • Object-oriented metrics focus on class and design characteristics.
  • Service-oriented architecture defines a way to make software components reusable.
  • Component-Based Software Engineering enhances understanding of components through categories, characteristics, repository, interaction, complexity, and composition.
  • Many definitions of software metrics exist, but the most common is a measure of application characteristics across their lifecycle.

Software Metrics Classifications

  • Three main types of software metrics:
    • Products: Explicit results, deliverables, documentation.
    • Processes: Software production activities.
    • Resources: Inputs like hardware, knowledge, and people.
  • Other classifications exist:
    • Implementation metrics
    • Testing metrics
    • Design metrics
    • Management metrics, etc.
  • Classifications based on engineering approaches: Object-oriented, service-oriented, and component-based.
    • Also includes size metrics

Types of Software Metrics: Size Metrics

  • Lines of Code (LOC): The number of lines in an application (includes namespace, classes, methods).
  • Non-Commented LOC (NCLOC): Similar to LOC but excludes comments, blank lines, and data declarations.
  • Used to estimate module size, implementation time, and maintenance needs.

Types of Software Metrics: Token Count

  • Software is a sum of tokens (operators and operands).
  • n1 = unique operators; n2 = unique operands
  • N1 = total operator occurrences; N2 = total operand occurrences
  • Token Count = N1 + N2

Types of Software Metrics: Function Points (FP)

  • Measures the business functionality of a system.
  • Includes external inputs, outputs, inquiries, files, and interfaces.
  • Each element is assigned a complexity value (low or high), which affects the final score.
  • Calculated using a formula combining weighting factors and component counts.

Object-Oriented Metrics

  • Coupling between Objects (CBO): Number of coupled classes a specific class interacts with.

    • A lower score indicates a class's more loosely coupled relationship with other classes (and is often preferred).

  • Depth of Inheritance Tree (DIT): Maximum inheritance path in a class hierarchy.

    • A lower score indicates increased reusability.

  • Number of Children (NOC): Number of immediate subclasses inheriting from a class.

    • A lower score suggests more specialized classes that don't inherit as much.

  • Weighted Methods per Class (WMC): Summation of complexity values for all methods in a class.

    • A higher score signifies more complexity.

Service-Oriented Architecture Metrics

  • Number of Services (NS): The number of services in the system.
  • Network Cohesion (NCY): Number of directional relationships between nodes in a system.
  • Services Interdependence (SIY): The number of service pairs that depend on each other.
  • Absolute Importance of Service (AIS): Number of clients that depend on a particular service.
  • Input/Output Message Sizes: Number of arguments (or attributes) to a method.

Component-Based Software Engineering Metrics

  • Time to Use: Estimate time for developers to use components.
  • Required Interfaces: Number of interfaces needed to use a component.
  • Error Propagation: The ability of an error in one component to affect others.

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Description

This quiz explores the fundamental concepts of software metrics, including definitions, classifications, and types. Understand the distinctions between product, process, and resource metrics, as well as the importance of object-oriented and service-oriented architecture in software development.

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