Software Debugging

Course

Online

Free

Description

  • Type

    Course

  • Methodology

    Online

  • Start date

    Different dates available

In this course you will learn how to debug programs systematically using scientific methods and build several automated debugging tools in Python.

Facilities

Location

Start date

Online

Start date

Different dates availableEnrolment now open

Questions & Answers

Add your question

Our advisors and other users will be able to reply to you

Who would you like to address this question to?

Fill in your details to get a reply

We will only publish your name and question

Reviews

Subjects

  • Debuggers
  • Asserting Expectations
  • Simplifying Failures
  • Tracking Origins
  • Reproducing Failures

Course programme

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.

Software Debugging

Free