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Introduction to Automated Analysis(으)로 돌아가기

미네소타 대학교의 Introduction to Automated Analysis 학습자 리뷰 및 피드백

4.1
별점
39개의 평가
8개의 리뷰

강좌 소개

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....
필터링 기준:

Introduction to Automated Analysis의 8개 리뷰 중 1~8

교육 기관: Mathijs v L

2021년 1월 25일

Mixed feelings. The instructors are very pleasant to listen to and explain things clearly. The subject matter is interesting but can be a bit dense at times, and at the end I hardly remember any of the terms you are bombarded with.

The programming assignments are a disaster. 90% of the packages that the instructors have prepared for the assignments cannot be properly imported into the IDE, and since there is no way to reach out other than the discussion forums (which are for the most part filled with people asking for others to share their code for an easy pass), I was often left to resolve these issues on my own, which could sometimes take days of searching online.

교육 기관: Arwin H

2020년 9월 8일

I learned something new. nice

교육 기관: Deep V

2020년 9월 21일

It'is a good course

교육 기관: Sahdevbhai C

2020년 9월 21일

good

교육 기관: Abhishek

2020년 9월 29일

X

교육 기관: Budi S

2021년 9월 22일

Another great course from the SW testing specialization, conveying the general & detail ideas of various kind analysis to complement testing. Especially the exercise introduction to Facebook Infer tool is a real eye-opener.

교육 기관: Leonardo A M P

2020년 11월 12일

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

교육 기관: Rakhi S

2021년 10월 3일

Do not get trap into this certificate "Software Testing and Automation Specialization" last topic is not available since march 2021, you will end up wasting your money.

This is a fraud.