Specialize in Software Quality  from a technical and management perspective; graduate in 12 months, and make a difference in your professional environment"

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The concept of Technical Debt currently being applied by a large number of corporations and administrations with their suppliers reflects the improvised way in which projects have been developed. Generating a new implicit cost by having to redo a project for having adopted a quick and easy solution as opposed to what should be a scalable approach in the evolution of the project. 

For some years now, projects have been developed very quickly, with the aim of closing them with the client based on price and deadline criteria, instead of focusing on quality. Now, those decisions are taking their toll on many suppliers and customers.

This Professional Master’s Degree will enable the IT professional to analyze the underlying criteria in Software Quality, at all levels. Criteria such as database standardization, decoupling between components of an information system, scalable architectures, metrics, documentation, both functional and technical. In addition to methodologies in the management and development of projects and other methods to ensure quality, such as collaborative work techniques, including the so-called Pair Programming, which allows knowledge to reside in the company and not in people.

The vast majority of these types of Master's Degrees are focused on a technology, a language or a tool. This program is unique in the way it makes the professional aware of the importance of Software Quality, reducing the technical debt of projects with a quality one instead of an approach based on economics and short deadlines; it equips the student with specialized knowledge, so that project budgeting can be justified.

To make this possible, Software Quality has assembled a group of experts in the area that will transmit the most up-to-date knowledge and experience. Through a modern virtual campus with theoretical and practical content, distributed in different formats. There will be 10 modules divided into various units and subunits that will make it possible to learn in 12 months, following the Relearning methodology, which facilitates memorization and learning in an agile and efficient way.

The Professional Master’s Degree in Software Quality analyzes the criteria underlying the subject at all levels. Broaden your expertise. Enroll now"

This Professional Master’s Degree in Software Quality contains the most complete and up-to-date educational program on the market. Its most notable features are: 

  • The development of case studies presented by experts in software development
  • The graphic, schematic, and practical contents with which they are created, provide scientific and practical information on the disciplines that are essential for professional practice
  • Practical exercises where self-assessment can be used to improve learning
  • Its special emphasis on innovative methodologies 
  • Theoretical lessons, questions for experts and individual reflection work
  • Content that is accessible from any fixed or portable device with an Internet connection

Develop the criteria, tasks and advanced methodologies to understand the relevance of quality-oriented work, and provide effective solutions to your company or client " 

The program’s teaching staff includes professionals from the sector who contribute their work experience to this training program, as well as renowned specialists from leading societies and prestigious universities.

The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide immersive training programmed to train in real situations.

This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the academic year. This will be done with the help of an innovative system of interactive videos made by renowned experts.

A program focused on raising awareness of the importance of Software Quality and the need to implement quality policies in software factories"

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Learn in a practical and flexible way. Sharing your day to day life with this 100% online program exclusive to TECH Technological University"


The structure and contents of this Professional Master’s Degree have been developed to cover the most important topics for the development of Quality Software. Composed of 10 teaching modules, ranging from software project development, functional and technical documentation, Test-Driven Development and different methodologies, to the implementation of advanced practical solutions with DevOps and continuous integration, all based on achieving Software Quality. The extensive multimedia content, rigorously selected by the expert faculty, will be of great support to alleviate the teaching load and serve as reference material for future reference.

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The practical cases, based on reality, will serve to reinforce and contextualize all the theoretical knowledge acquired throughout the program"

Module 1. Software Quality TRL Development Levels

1.1. Elements that Influence Software Quality (I). Technical Debt 

1.1 1. Technical Debt. Causes and Consequences
1.1.2. Software Quality General Principles 
1.1.3. Unprincipled and Principled Quality Software Consequences Necessity of Applying Quality Principles in Software 

1.1.4. Software Quality Typology 
1.1.5. Quality Software. Specific Features 

1.2. Elements that Influence Software Quality (II). Associated Costs 

1.2.1. Software Quality Influencing Elements 
1.2.2. Software Quality Misconceptions 
1.2.3. Software Quality Associated Costs 

1.3. Software Quality Models (I). Knowledge Management 

1.3.1. General Quality Models Total Quality Management European Business Excellence Model (EFQM). Six-Sigma Model 

1.3.2. Knowledge Management Models Dyba Model SEKS Model 

1.3.3. Experience Factory and QIP Paradigm 
1.3.4. Quality in Use Models (25010) 

1.4. Software Quality Models (III). Quality in Data, Processes and SEI Models 

1.4.1. Data Quality Data Model 
1.4.2. Software Process Modeling 
1.4.3. Software & Systems Process Engineering Metamodel Specification (SPEM) 

1.5. ISO Software Quality Standards (I). Analysis of the Standards 

1.5.1. ISO 9000 Standards ISO 9000 Standards ISO Family of Quality Standards (9000) 

1.5.2. Other ISO Standards Related to Quality 
1.5.3. Quality Modeling Standards (ISO 2501) 
1.5.4. Quality Measurement Standards (ISO 2502n) 

1.6. ISO Software Quality Standards (II). Requirements and Assessment 

1.6.1. Standards on Quality Requirements (2503n) 
1.6.2. Standards on Quality Assessment (2504n) 
1.6.3. ISO/IEC 24744:2007 

1.7. TRL Development Levels (I). Levels 1 to 4 

1.7.1. TRL Levels 
1.7.2. Level 1: Basic Principles 
1.7.3. Level 2: Concept and/or Application 
1.7.4. Level 3: Critical Analytical Function 
1.7.5. Level 4: Component Validation in Laboratory Environment 1.8. 

1.8. TRL Development Levels (II). Levels 5 to 9 

1.8.1. Level 5: Component Validation in Relevant Environment 
1.8.2. Level 6: System/Subsystem Model 
1.8.3. Level 7: Demonstration in Real Environment 
1.8.4. Level 8: Complete and Certified System 
1.8.5. Level 9: Success in Real Environment 

1.9. TRL Development Levels. Uses 

1.9.1. Example of Company with Laboratory Environment 
1.9.2. Example of an R&D&I Company 
1.9.3. Example of an Industrial R&D&I Company 
1.9.4. Example of a Laboratory-Engineering Joint Venture Company 

1.10. Software Quality. Key Details 

1.10.1. Methodological Details 
1.10.2. Technical Details 
1.10.3. Software Project Management Details Quality of Computer Systems Software Product Quality Software Process Quality

Module 2. Software Project Development. Functional and Technical Documentation

2.1. Project Management

2.1.1. Project Management in Software Quality
2.1.2. Project Management Advantages
2.1.3. Project Management Typology

2.2. Methodology in Project Management

2.2.1. Methodology in Project Management
2.2.2. Project Methodologies. Typology
2.2.3. Methodologies in Project Management. Application

2.3. Requirements Identification Phase

2.3.1. Identification of Project Requirements
2.3.2. Management of Project Meetings
2.3.3. Documentation to Be Provided

2.4. Models

2.4.1. Initial Phase
2.4.2. Analysis Phase
2.4.3. Construction Phase
2.4.4. Testing Phase
2.4.5. Delivery

2.5. Data Model to Be Used

2.5.1. Determination of the New Data Model
2.5.2. Identification of the Data Migration Plan
2.5.3. Data Set

2.6. Impact on Other Projects

2.6.1. Impact of a Project. Examples:
2.6.2. Risk in the Project
2.6.3. Risk Management

2.7.  MUST of the Project

2.7.1. MUST of the Project
2.7.2. Identification of Project MUST
2.7.3. Identification of the Execution Points for Project Delivery

2.8. The Project Construction Team

2.8.1. Roles to be Involved According to the Project
2.8.2. Contact with HR for Recruitment
2.8.3. Project Deliverables and Schedule

2.9. Technical Aspects of a Software Project

2.9.1. Project Architect. Technical Aspects
2.9.2. Technical Leaders
2.9.3. Construction of the Project Software
2.9.4. Code Quality Assessment, Sonar

2.10. Project Deliverables

2.10.1. Functional Analysis
2.10.2. Data Model
2.10.3. State Diagram
2.10.4. Technical Documentation

Module 3. Software Testing. Test Automation

3.1. Software Quality Models

3.1.1. Product Quality
3.1.2. Process Quality
3.1.3. Quality of Use

3.2. Process Quality

3.2.1. Process Quality
3.2.2. Maturity Models
3.2.3. ISO 15504 Standards Purposes Context Stages

3.3. ISO/IEC 15504 Standard

3.3.1. Process Categories
3.3.2. Development Process Example
3.3.3. Profile Fragment
3.3.4. Stages

3.4. CMMI (Capability Maturity Model Integration) 

3.4.1. CMMI Capability Maturity Model Integration
3.4.2. Models and Areas. Typology
3.4.3. Process Areas
3.4.4. Capacity Levels
3.4.5. Process Management
3.4.6. Project Management

3.5. Change and Repository Management

3.5.1. Software Change Management Configuration Item. Continuous Integration Lines Flowcharts Branches

3.5.2. Repository Version Control Work Team and Use of the Repository Continuous Integration in the Repository

3.6. Team Foundation Server (TFS)

3.6.1. Installation and Configuration
3.6.2.  Creation of a Team Project.
3.6.3. Adding Content to Source Code Control
3.6.4. TFS on Cloud

3.7. Testing

3.7.1. Motivation for Testing
3.7.2. Verification Testing
3.7.3. Beta Testing
3.7.4. Implementation and Maintenance

3.8. Load Testing

3.8.1. Load Testing
3.8.2. LoadView Testing
3.8.3. K6 Cloud Testing
3.8.4. Loader Testing

3.9. Unit, Stress and Endurance Tests

3.9.1. Reason for Unit Tests
3.9.2. Unit Testing Tools
3.9.3. Reason for Stress Tests
3.9.4. Testing UsingStress Testing
3.9.5. Reason for Endurance Tests
3.9.6. Tests Using LoadRunner

3.10. Scalability. Scalable Software Design

3.10.1. Scalability and Software Architecture
3.10.2. Independence Between Layers
3.10.3. Coupling Between Layers Architecture Patterns

Module 4. Software Project Management Methodologies Waterfall Methodology vs Agile Methodology

4.1. Waterfall Methodology

4.1.1. Waterfall Methodology
4.1.2. Waterfall Methodology Influence on Software Quality
4.1.3. Waterfall Methodology Examples:

4.2. Agile Methodology

4.2.1. Agile Methodology
4.2.2. Agile Methodology. Influence on Software Quality
4.2.3. Agile Methodology. Examples:

4.3. Scrum Methodology

4.3.1. Scrum Methodology
4.3.2. SCRUM Manifesto
4.3.3. SCRUM Application

4.4. Kanban Board

4.4.1. Kanban Method
4.4.2. Kanban Board
4.4.3. Kanban Board. Application Examples

4.5. Waterfall Project Management

4.5.1. Project Phases
4.5.2. Vision in a Waterfall Project
4.5.3. Deliverables to Consider

4.6. Project Management in Scrum

4.6.1. Phases in a Scrum Project
4.6.2. Vision in a Scrum Project
4.6.3.  Deliverables to Consider

4.7. Waterfall vs. Scrum Comparison

4.7.1. Pilot Project Approach
4.7.2. Project Applying Waterfall. Example
4.7.3. Project Applying Scrum. Example

4.8. Customer Vision

4.8.1. Documents in a Waterfall
4.8.2. Documents in a Scrum
4.8.3. Comparison

4.9. Kanban Structure

4.9.1. User Stories
4.9.2. Backlog
4.9.3. Kanban Analysis

4.10. Hybrid Projects

4.10.1. Project Construction
4.10.2. Project Management
4.10.3. Deliverables to Consider

Module 5. TDD (Test-Driven Development). Test-Driven Software Design

5.1. TDD. Test-Driven Development

5.1.1. TDD. Test Driven Development
5.1.2. TDD. Influence of TDD on Quality
5.1.3.  Test-Driven Design and Development. Examples

5.2. TDD Cycle

5.2.1. Choice of a Requirement
5.2.2. Performing Tests. Typology Unit Tests Integration Tests End To EndTests

5.2.3. Test Verification. Errors
5.2.4. Creation of the Implementation
5.2.5. Automated Test Execution
5.2.6. Elimination of Duplication
5.2.7. Requirements Lists Update
5.2.8.  Repeating the TDD Cycle
5.2.9. TDD Cycle. Theoretical and Practical Example

5.3. TDD Implementation Strategies

5.3.1. Mock Implementation
5.3.2. Triangular Implementation
5.3.3. Obvious Implementation

5.4. TDD. Use. Advantages and Disadvantages

5.4.1. Advantages of Use
5.4.2. Limitations of Use
5.4.3. Quality Balance in the Implementation

5.5. TDD. Good Practices

5.5.1. TDD Rules
5.5.2. Rule 1: Have a Previous Test that Fails Before Coding in Production
5.5.3. Rule 2: Not to Write More than One Unit Test
5.5.4. Rule 3: Not to Write More Code than Necessary
5.5.5. Errors and Anti-Patterns to Avoid in TDD

5.6. Simulation of a Real Project to use TDD (I)

5.6.1. Project Overview (Company A)
5.6.2. Application of TDD
5.6.3. Proposed Exercises
5.6.4. Exercises Feedback

5.7. Simulation of a Real Project to use TDD (II)

5.7.1. Project Overview (Company B)
5.7.2. Application of TDD
5.7.3. Proposed Exercises
5.7.4. Exercises Feedback

5.8. Simulation of a Real Project to use TDD (III)

5.8.1. General Description of the Project (Company C)
5.8.2. Application of TDD
5.8.3. Proposed Exercises
5.8.4. Exercises Feedback

5.9. Alternatives to TDD. Test Driven Development

5.9.1. TCR (Test Commit Revert)
5.9.2. BDD (Behavior Driven Development)
5.9.3. ATDD (Acceptance Test Driven Development)
5.9.4. TDD. Theoretical Comparison

5.10. TDD TCR, BDD and ATDD. Practical Comparison

5.10.1. Defining the Problem
5.10.2. Resolution with TCR
5.10.3. Resolution with BDD
5.10.4. Resolution with ATDD

Module 6. DevOps. Software Quality Management

6.1. DevOps. Software Quality Management

6.1.1. DevOps.
6.1.2. DevOps and Software Quality
6.1.3. DevOps. Benefits of DevOps Culture

6.2. DevOps. Relation to Agile

6.2.1. Accelerated Delivery
6.2.2. Quality
6.2.3. Cost Reduction

6.3. DevOps Implementation

6.3.1. Problem identification
6.3.2. Implementation in a Company
6.3.3. Implementation Metrics

6.4. Software Delivery Cycle

6.4.1. Design Methods
6.4.2. Agreements
6.4.3. Roadmap

6.5. Error-Free Code Development

6.5.1. Maintainable Code
6.5.2. Development Patterns
6.5.3. Code Testing
6.5.4. Software Development at Code Level Good Practices

6.6. Automization

6.6.1. Automization Types of Tests
6.6.2. Cost of Automation and Maintenance
6.6.3. Automization Mitigating Errors

6.7. Deployment

6.7.1. Target Assessment
6.7.2. Design of an Automatic and Adapted Process
6.7.3. Feedback and Responsiveness

6.8. Incident Management

6.8.1. Incident Management
6.8.2. Incident Analysis and Resolution
6.8.3. How to Avoid Future Mistakes

6.9. Deployment Automation

6.9.1. Preparing for Automated Deployments
6.9.2. Assessment of the Health of the Automated Process
6.9.3. Metrics and Rollback Capability

6.10. Good Practices. Evolution of DevOps

6.10.1. Guide of Good Practices applying DevOps
6.10.2. DevOps. Methodology for the Team
6.10.3. Avoiding Niches

Module 7. DevOps and Continuous Integration. Advanced Practical Solutions in Software Development

7.1. Software Delivery Flow

7.1.1. Identification of Actors and Artifacts
7.1.2. Software Delivery Flow Design
7.1.3. Software Delivery Flow. Interstage Requirements

7.2. Process Automation

7.2.1. Continuous Integration
7.2.2. Continuous Deployment
7.2.3. Environment Configuration and Secret Management

7.3. Declarative Pipelines

7.3.1. Differences Between Traditional, Code-Like and Declarative Pipelines
7.3.2. Declarative Pipelines
7.3.3. Declarative Pipelines in Jenkins
7.3.4. Comparison of Continuous Integration Providers

7.4. Quality Gates and Enriched Feedback

7.4.1. Quality Gates
7.4.2. Quality Standards with Quality Gates. Maintenance
7.4.3. Business Requirements in Integration Requests

7.5. Artifact Management

7.5.1. Artifacts and Life Cycle
7.5.2. Artifact Storage and Management Systems
7.5.3. Security in Artifact Management

7.6. Continuous Deployment

7.6.1. Continuous Deployment as Containers
7.6.2. Continuous Deployment with PaaS
7.6.3. Continuous Deployment of Mobile Applications

7.7. Improving Pipeline Runtime: Static Analysis and Git Hooks

7.7.1. Static Analysis
7.7.2. Code Style Rules
7.7.3. Git Hooks and Unit Tests
7.7.4. The Impact of Infrastructure

7.8. Vulnerabilities in Containers

7.8.1. Vulnerabilities in Containers
7.8.2. Image Scanning
7.8.3. Periodic Reports and Alerts

Module 8. Database (DB) Design. Standardization and performance. Software Quality

8.1. Database Design

8.1.1. Databases. Typology
8.1.2. Databases Currently Used Relationship Key-Value Based on Graphs

8.1.3. Data Quality

8.2. Entity-Relationship Model Design (I)

8.2.1. Entity-Relationship Model. Quality and Documentation
8.2.2. Entities Strong Entity Weak Entity

8.2.3. Attributes
8.2.4. Set of Relationships 1 to 1 1 to Many Many to 1 Many to Many

8.2.5. Keys Primary Key Foreign Key Weak Entity Primary Key

8.2.6. Restrictions
8.2.7. Cardinality
8.2.8. Heritage
8.2.9. Aggregation

8.3. Entity-Relationship Model (II). Tools

8.3.1. Entity-Relationship Model. Tools
8.3.2. Entity-Relationship Model. Practical Example
8.3.3. Feasible Entity-Relationship Model Visual Sample Sample in Table Representation

8.4. Database (DB) Standardization (I). Software Quality Considerations

8.4.1. DB Standardization and Quality
8.4.2. Dependency Functional Dependence Properties of Functional Dependence Deduced Properties

8.4.3. Keys

8.5. Database (DB) Normalization (II). Normal Forms and Codd Rules

8.5.1. Normal Shapes First Normal Form (1FN) Second Normal Form (2FN) Third Normal Form (3FN) Boyce-Codd Normal Form (BCNF). Fourth Normal Form (4FN) Fifth Normal Form (5FN)

8.5.2. Codd's Rules Rule 1: Information Rule 2: Guaranteed Access Rule 3: Systematic Treatment of Null Values Rule 4: Description of the Database Rule 5: Integral Sub-Language Rule 6: View Update Rule 7: Insert and Update Rule 8: Physical Independence Rule 9: Logical Independence Rule 10: Integrity Independence Integrity Rules Rule 11: Distribution Rule 12: Non-Subversion

8.5.3. Practical Example

8.6.Data Warehouse/OLAP System

8.6.1.Data Warehouse
8.6.2. Fact Table
8.6.3. Dimension Table
8.6.4. Creation of the OLAP System. Tools

8.7. Database (DB) Performance

8.7.1. Index Optimization
8.7.2. Query Optimization
8.7.3. Table Partitioning

8.8. Simulation of Real Project for DB Design (I)

8.8.1. Project Overview (Company A)
8.8.2. Application of Database Design
8.8.3. Proposed Exercises
8.8.4. Proposed Exercises Feedback

8.9. Simulation of Real Project for BD Design (II)

8.9.1. Project Overview (Company B)
8.9.2. Application of Database Design
8.9.3. Proposed Exercises
8.9.4. Proposed Exercises Feedback

8.10. Relevance of DB Optimization to Software Quality

8.10.1. Design Optimization
8.10.2. Query Code Optimization
8.10.3. Stored Procedure Code Optimization
8.10.4. Influence of Triggers on Software Quality. Reccomendations for Use.

Module 9. Scalable Architecture Design Architecture in the Software Life Cycle

9.1. Design of Scalable Architectures (I)

9.1.1. Scalable Architectures
9.1.2. Principles of a Scalable Architecture Reliable Scalable Maintainable

9.1.3. Types of Scalability Vertical Horizontal Combined

9.2. Architecture DDD (Domain-Driven Design)

9.2.1. The DDD Model Domain Orientation
9.2.2. Layers, Distribution of Responsibility and Design Patterns
9.2.3. Decoupling as a Basis for Quality

9.3. Design of Scalable Architectures (II). Benefits, Limitations and Design Strategies

9.3.1. Scalable Architecture. Benefits
9.3.2. Scalable Architecture. Limitations
9.3.3. Strategies for the Development of Scalable Architectures (Descriptive Table)

9.4. Software Life Cycle (I). Stages

9.4.1. Software Life Cycle Planning Stage Analysis Stage Design Stage Implementation Stage Testing Stage Installation/Deployment Stage Use and Maintenance Stage

9.5. Software Life Cycle Models

9.5.1. Waterfall Model
9.5.2. Repetitive Model
9.5.3. Spiral Model
9.5.4. Big Bang Model

9.6. Software Life Cycle (II). Automation

9.6.1. Software Development Life Cycle. Solutions Continuous Integration and Development (CI/CD) Agile Methodologies DevOps/Production Operations

9.6.2. Future Trends
9.6.3. Practical Examples

9.7. Software Architecture in the Software Life Cycle

9.7.1. Benefits
9.7.2. Limitations
9.7.3. Tools

9.8. Real Project Simulation for Software Architecture Design (I)

9.8.1. Project Overview (Company A)
9.8.2. Software Architecture Design Application
9.8.3. Proposed Exercises
9.8.4. Proposed Exercises Feedback

9.9. Simulation of a Real Project for Software Architecture Design (II)

9.9.1. Project Overview (Company B)
9.9.2. Software Architecture Design Application
9.9.3. Proposed Exercises
9.9.4. Proposed Exercises Feedback

9.10. Simulation of a Real Project for Software Architecture Design (III)

9.10.1. General Description of the Project (Company C)
9.10.2. Software Architecture Design Application
9.10.3. Proposed Exercises
9.10.4. Proposed Exercises Feedback

Module 10. ISO, IEC 9126 Quality Criteria. Software Quality Metrics

10.1. Quality Criteria. ISO, IEC 9126 Standard

10.1.1. Quality Criteria.
10.1.2. Software Quality Justification. ISO, IEC 9126 Standard
10.1.3. Software Quality Measurement as a Key Indicator

10.2. Software Quality Criteria Features

10.2.1. Reliability
10.2.2. Functionality
10.2.3. Efficiency
10.2.4. Usability
10.2.5. Maintainability
10.2.6. Portability
10.2.7. Security/safety

10.3. ISO Standard, IEC 9126 (I). Introduction

10.3.1. Description of ISO, IEC 9126 Standard
10.3.2. Functionality
10.3.3. Reliability
10.3.4. Usability
10.3.5. Maintainability
10.3.6. Portability
10.3.7. Quality in Use
10.3.8. Software Quality Metrics
10.3.9. ISO 9126 Quality Metrics

10.4. ISO Standard, IEC 9126 (II). McCall and Boehm Models

10.4.1. McCall Model: Quality factors
10.4.2. Boehm Model
10.4.3. Intermediate Level. Features

10.5. Software Quality Metrics (I). Components

10.5.1. Measurement
10.5.2. Metrics
10.5.3. Indicator Types of Indicators

10.5.4. Measurements and Models
10.5.5. Scope of Software Metrics
10.5.6. Classification of Software Metrics

10.6. Software Quality Measurement (II). Measurement Practice

10.6.1. Metric Data Collection
10.6.2. Measurement of Internal Product Attributes
10.6.3. Measurement of External Product Attributes
10.6.4. Measurement of Resources
10.6.5. Metrics for Object-Oriented Systems

10.7. Design of a Single Software Quality Indicator

10.7.1. Single Indicator as a Global Qualifier
10.7.2. Indicator Development, Justification and Application
10.7.3. Example of Application. Need to Know the Detail

10.8. Simulation of Real Project for Quality Measurement (I)

10.8.1. Project Overview (Company A)
10.8.2. Application of Quality Measurement
10.8.3. Proposed Exercises
10.8.4. Proposed Exercises Feedback

10.9. Real Project Simulation for Quality Measurement (II)

10.9.1. Project Overview (Company B)
10.9.2. Application of Quality Measurement
10.9.3. Proposed Exercises
10.9.4. Proposed Exercises Feedback

10.10. Real Project Simulation for Quality Measurement (III)

10.10.1. General Description of the Project (Company C)
10.10.2. Application of Quality Measurement
10.10.3. Proposed Exercises
10.10.4. Proposed Exercises Feedback

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