University of Minnesota

Introduction to Automated Analysis

This course is part of Software Testing and Automation Specialization

Taught in English

Some content may not be translated

Mike
Kevin Wendt

Instructors: Mike

13,571 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.2

(71 reviews)

Intermediate level

Recommended experience

19 hours (approximately)
Flexible schedule
Learn at your own pace

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

16 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.2

(71 reviews)

Intermediate level

Recommended experience

19 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the Software Testing and Automation Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
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There are 4 modules in this course

In this module we will learn about a range of techniques for analysis of programs and methods to automate testing. Along the way we will learn how to specify properties of interest to check about a program and capture assumptions about the environment for effective testing. To reinforce some of the important concepts learned we will practice automated testing using effective tools on a concrete example.

What's included

8 videos1 reading5 quizzes1 programming assignment

The focus of this module is to understand how various techniques can help us automate the generation of useful and numerous tests. We will examine ways to specify and use properties of the system and the environment to guide the generation of test data.

What's included

8 videos4 quizzes1 programming assignment

The goal of this module is to introduce the learner to the principles of statically analyzing programs, understand how analysis techniques work by looking at some example analyses, and some good practices to follow when designing programs to enable the tools to help us detect and avoid defects. The learner will gain an understanding of using static analysis tools by looking at one concrete tool.

What's included

5 videos1 reading3 quizzes

This module will examine how to use effective automation techniques for a variety of purposes such as performing effective regression testing, discovering security vulnerabilities and monitoring software at run-time for critical properties.

What's included

6 videos2 readings4 quizzes

Instructors

Instructor ratings
4.1 (23 ratings)
Mike
University of Minnesota
2 Courses23,012 learners

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4.2

71 reviews

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5

Reviewed on Jul 21, 2023

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4

Reviewed on Nov 12, 2020

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5

Reviewed on Dec 24, 2021

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