Brief Introduction
At the end of this course you will have a solid understanding about systematic debugging, will know how to automate debugging and will have built several functional debugging tools in Python.Course Summary
Learn how to diagnose and fix software bugs with this comprehensive course on software debugging. Gain practical experience with real-world examples and dive into advanced techniques.Key Learning Points
- Understand the debugging process and how to approach bugs systematically
- Learn how to use debugging tools and techniques to identify and fix bugs
- Explore advanced debugging techniques and strategies for dealing with complex bugs
Related Topics for further study
Learning Outcomes
- Understand the debugging process and how to approach bugs systematically
- Use debugging tools and techniques to identify and fix bugs
- Develop advanced debugging strategies for dealing with complex bugs
Prerequisites or good to have knowledge before taking this course
- Basic programming knowledge (in a language like Python or Java)
- Access to a computer with debugging tools installed
Course Difficulty Level
IntermediateCourse Format
- Self-paced online course
- Video lectures
- Hands-on projects
Similar Courses
- Software Testing
- Object-Oriented JavaScript
Notable People in This Field
- Martin Fowler
- Kent Beck
- Michael Bolton
Related Books
Description
In this course you will learn how to debug programs systematically using scientific methods and build several automated debugging tools in Python.Requirements
- Basic knowledge of programming and Python at the level of Udacity CS101 or better is required. Basic understanding of Object-oriented programming is helpful. See the Technology Requirements for using Udacity.
Knowledge
- Instructor videosLearn by doing exercisesTaught by industry professionals
Outline
- lesson 1 How Debuggers work Theory: Scientific method and its application to debugging. Fun fact: First bug in the history of computer science. Practice: Building a simple tracer. lesson 2 Asserting Expectations Theory: Assertions in testing and in debugging. Fun fact: The most expensive bug in history. Practice: Improving the tracer. lesson 3 Simplifying Failures Theory: Strategy of simplifying failures. Binary search. Delta debugging principle. Fun fact: Mozilla bugathon. Practice: Building a delta debugger. lesson 4 Tracking Origins Theory: Cause-effect chain. Deduction. Dependencies. Slices. Fun fact: Sherlock Holmes and Doctor Watson. Practice: Improving the delta debugger. lesson 5 Reproducing Failures Theory: Types of bugs (Bohr bug Heisenbug Mandelbug Schrodinbug). Systematic reproduction process. Fun fact: Mad laptop bug. Practice: Building a statistic debugging tool. lesson 6 Learning from Mistakes Theory: Bug database management. Classifying bugs. Bug maps. Learning from mistakes. Fun fact: Programmer with the most buggy code. Practice: Improving your tools and practicing on a real world bug database.
Summary of User Reviews
Discover the art of debugging with Udacity's Software Debugging course. Learn how to approach debugging problems and apply best practices to improve your programming skills. Highly rated by students, this course offers practical knowledge and hands-on experience to help you become a better software developer.Key Aspect Users Liked About This Course
Many users found the practical exercises and hands-on experience to be highly beneficial in developing their debugging skills.Pros from User Reviews
- Great practical exercises that help improve debugging skills
- Highly knowledgeable and experienced instructors
- Interactive and engaging course materials
- Good balance of theory and practice
- Flexible course schedule
Cons from User Reviews
- Some users found the course to be too basic and lacking in depth
- Limited feedback and interaction with instructors
- Not suitable for advanced programmers
- Some technical issues with the course platform
- No certification or accreditation
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