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University of Minnesota

Introduction to Automated Analysis

This course introduces state-of-the-art techniques for automated analysis. Automated analysis encompasses both approaches to automatically generate a very large number of tests to check whether programs meet requirements, and also means by which it is possible to *prove* that software meets requirements and that it is free from certain commonly-occurring defects, such as divide-by-zero, overflow/underflow, deadlock, race-condition freedom, buffer/array overflow, uncaught exceptions, and several other commonly-occurring bugs that can lead to program failures or security problems. The learner will become familiar with the fundamental theory and applications of such approaches, and apply a variety of automated analysis techniques on example programs. After completing this course, a learner will be able to: - Understand the foundations of automated verification: randomization and symbolic representations - Distinguish the strengths and weaknesses of random testing, symbolic analysis, static analysis, and model checking - Use a variety of state-of-the-art static analysis and automated testing tools for automated verification - Create executable requirements as an oracle suitable for automated testing and symbolic analysis - Understand how the choice of oracle affects fault-finding for automated analysis strategies. - Use automated testing to achieve full mutation coverage - Create a test plan that utilizes both manually-written tests and automated tests towards maximizing rigor, minimizing effort and time, and minimizing test costs. This course is intended for learners interested in understanding the principles of automation and the application of tools for analysis and testing of software This knowledge would benefit several typical roles: Software Engineer, Software Engineer in Test, Test Automation Engineer, DevOps Engineer, Software Developer, Programmer, Computer Enthusiast. We expect that you have some familiarity with the Software development Life-Cycle, an understanding of the fundamentals of software testing, similar to what is covered in the Introduction to Software Testing and Black-box and White-Box Testing Courses. Familiarity with an object-oriented language such as Java or ability to pick-up Java syntax quickly to write and modify code, and willingness to use tools and IDEs are assumed.

Status: Software Development Tools
Status: White-Box Testing
IntermediateCourse19 hours

Featured reviews

LP

4.0Reviewed Nov 12, 2020

Muy bueno!, seria interesante ver mas demostraciones con herramientas.

AD

5.0Reviewed Jul 21, 2023

Please add specific tutorial on how to set up something

HH

4.0Reviewed Oct 16, 2024

The course is decent, the presentations are great in most, and lots of learning. Its scope is also vast and it only gives a glimpse into what is possible.

HS

5.0Reviewed Jul 15, 2024

I'm an university student. I would like to take this opportunity to thank the lecturers, University and Coursera. This course is amazing.

MB

5.0Reviewed Dec 24, 2021

Really this is course was too much challenging and resourceful.

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