University of Minnesota

Introduction to Automated Analysis

Mike
Kevin Wendt

Instructors: Mike

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Gain insight into a topic and learn the fundamentals.
4.2

(78 reviews)

Intermediate level

Recommended experience

19 hours to complete
3 weeks at 6 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4.2

(78 reviews)

Intermediate level

Recommended experience

19 hours to complete
3 weeks at 6 hours a week
Flexible schedule
Learn at your own pace

Details to know

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Assessments

16 assignments

Taught in English

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This course is part of the Software Testing and Automation Specialization
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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 assignments1 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 assignments1 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 assignments

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 assignments

Instructors

Instructor ratings
4.1 (26 ratings)
Mike
University of Minnesota
2 Courses25,177 learners

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Recommended if you're interested in Software Development

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4.2

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Reviewed on Nov 12, 2020

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