Engineering Practices for Building Quality Software (Coursera)

Engineering Practices for Building Quality Software (Coursera)

Agile embraces change which means that team should be able to effectively make changes to the system as team learns about users and market. To be good at effectively making changes to the system, teams need to have engineering rigor and excellence else embracing change becomes very painful and expensive. In this course, you will learn about engineering practices and processes that agile and traditional teams use to make sure the team is prepared for change. In additional, you will also learn about practices, techniques and processes that can help team build high quality software. You will also learn how to calculate a variety of quantitative metrics related to software quality.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

This is an intermediate course, intended for learners with a background in software development. To succeed in the course, you should have experience developing in modern programming languages (e.g., Java, C#, Python, JavaScript), an understanding of software development lifecycle models, and a desire to better understand quality aspects of software development beyond program correctness.
At the end of this course, you will be able to comfortably and effectively participate in various techniques and processes for building secure and high quality software.
Course 4 of 4 in the Software Development Lifecycle Specialization.

What You Will Learn

  • You will learn how to quantitatively measure design quality attributes.
  • You will establish feasible and testable scenarios for evaluating quality attributes in software architecture.
  • You will develop skills to ensure quality in developing code beyond correct functionality alone.
  • You will understand quality approaches to post-development stages of the lifecycle.

Syllabus

WEEK 1
Introduction to Quality Software
In this module, you will be introduced to the concept of quality as it relates to software.
Quality in Design
In this module, you will learn about a variety of quality metrics including how to calculate them. A discussion of design patterns follows, allowing you to gain a deeper understanding of the quality they provide and exposure to several important patterns.

WEEK 2
Quality in Architecture
In this module, you will create Scenarios in order to document and verify quality attributes relevant to software architecture, including usability, performance, and more. Then, you will examine one specific quality attribute and its implications: security.

WEEK 3
Quality in Implementation
In this module, you will explore a variety of quality aspects of the implementation stage of the lifecycle. You will also evaluate coding style guides and static analysis tools. Finally, you will analyze self-documentation in open-source code and identify the capabilities of version control and automated build tools.

WEEK 4
Quality in Testing and Deployment
In this module, learners will discover quality in the final lifecycle stages: testing and deployment. Learners will first be instructed on the importance of test planning, understand what it means to evaluate tests and identify the benefits of test-first process. Then, a variety of resources will give learners understanding into continuous pipeline tools, allowing the learner to evaluate their potential benefits (and drawbacks) for their own projects.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Security and Privacy for Big Data - Part 1 (Coursera) Coursera
EIT Digital

Security and Privacy for Big Data - Part 1 (Coursera)

This course sensitizes regarding security in Big Data environments. You will discover cryptographic principles, mechanisms to manage access controls in your Big Data system. By the end of the course, you will be ready to plan your next Big Data project successfully, ensuring that all security related issues are under control. You will look at decent-sized big data projects with security-skilled eyes, being able to recognize dangers. This will allow you to improve your systems to a grown and sustainable level.

Oct 5th 2026
1 Week
Continuous Delivery & DevOps (Coursera) Coursera
University of Virginia

Continuous Delivery & DevOps (Coursera)

Amazon famously delivers new code every 11.6 seconds. Just a few years ago, this was unthinkable: many ‘cutting edge’ firms would release software quarterly. When it comes to digital innovation, velocity is critical and many would say it’s the most reliable determinant of success. Bringing an organization to the state of the art (or even functional capability) in this area requires strong work in a combination of disciplines and a combination of both technical and managerial skills. There is no single cookie-cutter approach for achieving this capability.

Oct 5th 2026
4 Weeks
Programming Reactive Systems (Scala 2 version) (Coursera) Coursera
École Polytechnique Fédérale de Lausanne

Programming Reactive Systems (Scala 2 version) (Coursera)

Reactive programming is a set of techniques for implementing scalable, resilient and responsive systems as per the Reactive Manifesto. Such systems are based on asynchronous message-passing, and their basic building-blocks are event handlers. This course teaches how to implement reactive systems in Scala and Akka by using high-level abstractions, such as actors, asynchronous computations, and reactive streams.

Oct 5th 2026
5-12 Weeks
Usable Security (Coursera) Coursera
University of Maryland, College Park

Usable Security (Coursera)

This course focuses on how to design and build secure systems with a human-centric focus. We will look at basic principles of human-computer interaction, and apply these insights to the design of secure systems with the goal of developing security measures that respect human performance and their goals within a system.

Oct 5th 2026
5-12 Weeks
Ingeniería de Tráfico (Coursera) Coursera
Pontificia Universidad Católica de Chile

Ingeniería de Tráfico (Coursera)

El curso presenta en primer lugar las principales relaciones que caracterizan la circulación de vehículos y que dan pie a la teoría de circulación de vehículos sobre redes de transporte. Posteriormente se discutirán aspectos relativos al control de tráfico en intersecciones, sean estas de prioridad o semaforizadas. Finalmente, discutiremos sobre las características que presentan algunos modelos dinámicos de tráfico bastante utilizados en la actualidad.

Oct 5th 2026
4 Weeks
Exam Prep: AWS Certified Solutions Architect - Associate (Coursera) Coursera
AWS

Exam Prep: AWS Certified Solutions Architect - Associate (Coursera)

This new intermediate-level course from Amazon Web Services (AWS) is designed to help you to assess your preparedness for the AWS Certified Solutions Architect - Associate exam. You will learn how to prepare for the exam by exploring the exam’s topic areas and how they map to architecting on AWS. You will review sample certification questions in each domain, practice skills with hands-on exercises, test your knowledge with practice question sets, and learn strategies for identifying incorrect responses by interpreting the concepts that are being tested in the exam.

Oct 5th 2026
4 Weeks
Capstone: Autonomous Runway Detection for IoT (Coursera) Coursera
EIT Digital

Capstone: Autonomous Runway Detection for IoT (Coursera)

The students will develop a larger system using the learning outcomes from these courses, and the students will evaluate the developed system in a real-world programming environment. This course is a true engineering task in which the student must, not only implement the algorithm code, but also handle the interfaces between many different actors and hardware platforms.

Oct 5th 2026
3 Weeks
Industrial Biotechnology (Coursera) Coursera
University of Manchester

Industrial Biotechnology (Coursera)

Fossil fuels have been the primary energy source for society since the Industrial Revolution. They provide the raw material for the manufacture of many everyday products that we take for granted, including pharmaceuticals, food and drink, materials, plastics and personal care. As the 21st century progresses we need solutions for the manufacture of chemicals that are smarter, more predictable and more sustainable.

Oct 5th 2026
5-12 Weeks
Solving Algorithms for Discrete Optimization (Coursera) Coursera
University of Melbourne,The Chinese University of Hong Kong

Solving Algorithms for Discrete Optimization (Coursera)

Discrete Optimization aims to make good decisions when we have many possibilities to choose from. Its applications are ubiquitous throughout our society. Its applications range from solving Sudoku puzzles to arranging seating in a wedding banquet. The same technology can schedule planes and their crews, coordinate the production of steel, and organize the transportation of iron ore from the mines to the ports.

Oct 5th 2026
4 Weeks