Automated Test Generation
About the 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.
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.
Requirements
Below you find the entry requirements for the course. If you do not fulfill the requirements, you can get your eligibility evaluated based on knowledge acquired in other ways, such as work experience, other studies etcetera. Read more in Application information below.
Occasions for this course
Autumn semester 2024
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Scope
2.5 credits
Time
2024-11-11 - 2025-01-19 (part time 17%)
Education level
Second cycle
Course type
Freestanding course
Application code
MDU-24549
Language
English
Study location
Independent of location
Teaching form
Distance learning
Number of mandatory occasions including examination: 0
Number of other physical occasions: 0Course syllabus & literature
See course plan and literature list (DVA481)Specific requirements
120 credits, of which 80 credits in Computer Science and/or Computer Engineering. In addition, Swedish course B/Swedish course 3 and English course A/English course 6 are required. For courses given entirely in English exemption is made from the requirement in Swedish course B/Swedish course 3.
Selection
University credits
Questions about the course?
If you have any questions about the course, please contact the Course Coordinator.
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?
Many courses requires that you have previous academies studies, but we can validate work experience to determine whether you have the qualifications 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 competence
Word, 45.5 kB, opens in new window.
• Download a template for Employers certificate Word, 38 kB, opens in new window.
If you have any questions regarding eligibility or application please send an e-mail to lifelonglearning@mdu.se
FutureE
The courses are part of the FutureE project where MDU 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