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Automated Test Generation

  • Credits 2.5 credits
  • Study location Independent of location
  • $stringTranslations.StartDate 2021-11-08 - 2022-01-16 (part time 17%)
  • Education ordinance Second cycle
  • Course code DVA481
  • Main area Computer Science

In contrast to learning how to do manual testing, in this course you will learn how to generate tests automatically in the sense that test creation satisfying a given test goal or given requirement is performed automatically.

About this course

The increasing competition pressure for rapid introduction of new or modified system versions is posing problems to properly testing software. These pressures have led many organizations to begin transitioning their development processes to agile development and continuous integration, greatly shortening the time available to conduct comprehensive testing.

In contrast to learning how to do manual testing, in this course you will learn how to generate tests automatically in the sense that test creation satisfying a given test goal or given requirement is performed automatically.

This course provides an understanding of automating software testing using program analysis with the goal of intelligently and algorithmically creating tests. The course covers search-based test generation, combinatorial and random testing while highlighting the challenges associated with the use of automatic test generation.

You will learn

  • Understand algorithmic test generation techniques and their use in developer testing and continuous integration.
  • Understand how to automatically generate test cases with assertions.
  • Have a working knowledge and experience in static and dynamic generation of tests.
  • Have an overview knowledge in search-based testing and the use of machine learning for test generation.

Entry requirements

  • 120 credits, of which 80 credits in Computer Science and/or Computer Engineering.
  • In addition English course A/English course 6 is required.

You can also apply for the course and get your eligibility evaluated based on knowledge acquired in other ways, such as work experience, other studies etc. Read more in Application information below.

Language

English

Teacher

Senior Lecturer

Eduard Paul Enoiu

+4621101624

eduard.paul.enoiu@mdh.se

Course syllabus

You can read in detail about the course, it's content and literature and so on in the course syllabus

See course syllabus

Apply to the course

Automated test generation

Go to application

Application information

You’ll find the entry requirements in the course description. After submitting your application, the next step is to submit documentation to demonstrate your eligibility for the course. Most academic credentials from Sweden are retrieved automatically. Wait a few days after submitting your application - if you still can’t see your academic credentials om My pages, please upload them.

If you have studied in another country, you must provide transcripts of your academic studies and of your English proficiency. Exactly what you need to submit and how, depends on several factors. You can read more on universityadmissions.se or antagning.se.

If the course requires work experience, you need to provide an employer’s certificate. You can download a template for employer’s certificate below.

No academic qualifications?

The course require that you have previous academies studies, but we validate work experience to assess if you have the knowledge that is equal to the eligibility requirements for the course.

If you don’t have the formal qualifications required, please send in a certificate of employment (current or previous) and a CV/Description of competence that describes your educational and professional background. Please include a short description of your work experience, not only the work title.

Use the CV/ Description of competence template below and fill in the information requested.

You can also use our template for Employers certificate if you like.

Download a template for CV/Description of competenceWord

Download a template for Employers certificateWord

If you have any questions regarding eligibility or application please send an e-mail to lifelonglearning@mdh.se


FutureE

The courses are part of the FutureE project where MDH offers online courses in the areas of AI, Environmental and Energy Engineering, Software and Computer Systems Engineering.

For companies that want to collaborate on competence development
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