Software Testing, 6 credits

Programvarutestning, 6 hp

TDDD04

Main field of study

Information Technology Computer Science and Engineering Computer Science

Course level

Second cycle

Course type

Programme course

Examiner

Lena Buffoni

Director of studies or equivalent

Ahmed Rezine

Education components

Preliminary scheduled hours: 48 h
Recommended self-study hours: 112 h

Available for exchange students

Yes
ECV = Elective / Compulsory / Voluntary
Course offered for Semester Period Timetable module Language Campus ECV
6CDDD Computer Science and Engineering, M Sc in Engineering 7 (Autumn 2017) 1 2 English Linköping, Valla E
6CDDD Computer Science and Engineering, M Sc in Engineering (Computer Systems Architecture) 7 (Autumn 2017) 1 2 English Linköping, Valla E
6CDDD Computer Science and Engineering, M Sc in Engineering (Large Scale Software Engineering) 7 (Autumn 2017) 1 2 English Linköping, Valla E
6CDDD Computer Science and Engineering, M Sc in Engineering (Programming and Algorithms) 7 (Autumn 2017) 1 2 English Linköping, Valla E
6CDDD Computer Science and Engineering, M Sc in Engineering (Secure Systems) 9 (Autumn 2017) 1 2 English Linköping, Valla C
6CMJU Computer Science and Software Engineering, M Sc in Engineering 7 (Autumn 2017) 1 2 English Linköping, Valla E
6CMJU Computer Science and Software Engineering, M Sc in Engineering (Large Scale Software Engineering) 7 (Autumn 2017) 1 2 English Linköping, Valla E
6CMJU Computer Science and Software Engineering, M Sc in Engineering (Programming and Algorithms Specialization) 7 (Autumn 2017) 1 2 English Linköping, Valla E
6CMJU Computer Science and Software Engineering, M Sc in Engineering (Secure Systems) 9 (Autumn 2017) 1 2 English Linköping, Valla C
6MDAV Computer Science, Master's programme 3 (Autumn 2017) 1 2 English Linköping, Valla E
6MICS Computer Science, Master's programme 3 (Autumn 2017) 1 2 English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering 9 (Autumn 2017) 1 2 English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering 9 (Autumn 2017) 1 2 English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering 9 (Autumn 2017) 1 2 English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering 9 (Autumn 2017) 1 2 English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering 9 (Autumn 2017) 1 2 English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering (Master Profile Computer Science and Engineering) 9 (Autumn 2017) 1 2 English Linköping, Valla C
6CIEI Industrial Engineering and Management - International, M Sc in Engineering (Master Profile Computer Science and Engineering) 9 (Autumn 2017) 1 2 English Linköping, Valla C
6CIEI Industrial Engineering and Management - International, M Sc in Engineering (Master Profile Computer Science and Engineering) 9 (Autumn 2017) 1 2 English Linköping, Valla C
6CIEI Industrial Engineering and Management - International, M Sc in Engineering (Master Profile Computer Science and Engineering) 9 (Autumn 2017) 1 2 English Linköping, Valla C
6CIEI Industrial Engineering and Management - International, M Sc in Engineering (Master Profile Computer Science and Engineering) 9 (Autumn 2017) 1 2 English Linköping, Valla C
6CIEI Industrial Engineering and Management - International, M Sc in Engineering (Specialization Computer Science and Engineering) 9 (Autumn 2017) 1 2 English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering (Specialization Computer Science and Engineering) 9 (Autumn 2017) 1 2 English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering (Specialization Computer Science and Engineering) 9 (Autumn 2017) 1 2 English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering (Specialization Computer Science and Engineering) 9 (Autumn 2017) 1 2 English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering (Specialization Computer Science and Engineering) 9 (Autumn 2017) 1 2 English Linköping, Valla E
6CIII Industrial Engineering and Management, M Sc in Engineering 9 (Autumn 2017) 1 2 English Linköping, Valla E
6CIII Industrial Engineering and Management, M Sc in Engineering (Master Profile Computer Science and Engineering) 9 (Autumn 2017) 1 2 English Linköping, Valla C
6CIII Industrial Engineering and Management, M Sc in Engineering (Specialization Computer Science and Engineering) 9 (Autumn 2017) 1 2 English Linköping, Valla E
6CITE Information Technology, M Sc in Engineering 7 (Autumn 2017) 1 2 English Linköping, Valla E
6CITE Information Technology, M Sc in Engineering (Computer Systems Architecture) 7 (Autumn 2017) 1 2 English Linköping, Valla E
6CITE Information Technology, M Sc in Engineering (Large Scale Software Engineering) 7 (Autumn 2017) 1 2 English Linköping, Valla E
6CITE Information Technology, M Sc in Engineering (Programming and Algorithms) 7 (Autumn 2017) 1 2 English Linköping, Valla E
6CITE Information Technology, M Sc in Engineering (Secure Systems) 9 (Autumn 2017) 1 2 English Linköping, Valla C

Main field of study

Information Technology, Computer Science and Engineering, Computer Science

Course level

Second cycle

Advancement level

A1X

Course offered for

  • Computer Science and Engineering, M Sc in Engineering
  • Information Technology, M Sc in Engineering
  • Computer Science and Software Engineering, M Sc in Engineering
  • Industrial Engineering and Management - International, M Sc in Engineering
  • Industrial Engineering and Management, M Sc in Engineering
  • Computer Science, Master's programme

Entry requirements

Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshold requirements for progression within the programme, or corresponding.

Prerequisites

Programming (Java, C, C++,C#), Data Structures and Algorithms, practical experience in developing complex software.

Intended learning outcomes

After the course, students shall be able to:

  • Apply general software testing principles and fundamental test processes
  • Describe and apply software test management techniques such as test planning, automated test frameworks and test monitoring.
  • Evaluate software testing methods.

Course content

Techniques and concepts for testing software. Topics cover software testing at unit, module and system levels, automatic and manual techniques for generating and validating test data, static and dynamic analysis. Tools and techniques for BDD.

Teaching and working methods

Lectures, lessons and laboratory work

Examination

LAB1Laboratory work2 creditsU, G
TEN1Written examination4 creditsU, 3, 4, 5

Grades

Four-grade scale, LiU, U, 3, 4, 5

Department

Institutionen för datavetenskap

Director of Studies or equivalent

Ahmed Rezine

Examiner

Lena Buffoni

Course website and other links

http://www.ida.liu.se/~TDDD04/

Education components

Preliminary scheduled hours: 48 h
Recommended self-study hours: 112 h

Course literature

Additional literature

Books

  • Copeland, Lee., (2003) A Practitioner's Guide to Software Test Design
    ISBN: 1-58053-791-X

Websites

Code Name Scope Grading scale
LAB1 Laboratory work 2 credits U, G
TEN1 Written examination 4 credits U, 3, 4, 5

Regulations (apply to LiU in its entirety)

The university is a government agency whose operations are regulated by legislation and ordinances, which include the Higher Education Act and the Higher Education Ordinance. In addition to legislation and ordinances, operations are subject to several policy documents. The Linköping University rule book collects currently valid decisions of a regulatory nature taken by the university board, the vice-chancellor and faculty/department boards.

LiU’s rule book for education at first-cycle and second-cycle levels is available at http://styrdokument.liu.se/Regelsamling/Innehall/Utbildning_pa_grund-_och_avancerad_niva. 

Additional literature

Books

Copeland, Lee., (2003) A Practitioner's Guide to Software Test Design

ISBN: 1-58053-791-X

Websites

Note: The course matrix might contain more information in Swedish.

I = Introduce, U = Teach, A = Utilize
I U A Modules Comment
1. DISCIPLINARY KNOWLEDGE AND REASONING
1.1 Knowledge of underlying mathematics and science (G1X level)
X
X
X
LAB1
TEN1

                            
1.2 Fundamental engineering knowledge (G1X level)
X
X
X
TEN1

                            
1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level)
X

                            
1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level)

                            
1.5 Insight into current research and development work

                            
2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES
2.1 Analytical reasoning and problem solving
X
X
X
LAB1
TEN1

                            
2.2 Experimentation, investigation, and knowledge discovery
X
LAB1

                            
2.3 System thinking
X
X
X
LAB1
TEN1

                            
2.4 Attitudes, thought, and learning

                            
2.5 Ethics, equity, and other responsibilities
X
X
LAB1
TEN1

                            
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
3.1 Teamwork
X
LAB1

                            
3.2 Communications
X
LAB1

                            
3.3 Communication in foreign languages
X
LAB1

                            
4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT
4.1 External, societal, and environmental context
X
X
X
TEN1

                            
4.2 Enterprise and business context
X
X

                            
4.3 Conceiving, system engineering and management
X
X
X
LAB1
TEN1

                            
4.4 Designing
X
X
X
LAB1
TEN1

                            
4.5 Implementing
X
X
X
LAB1
TEN1

                            
4.6 Operating
X
X
X
LAB1
TEN1

                            
5. PLANNING, EXECUTION AND PRESENTATION OF RESEARCH DEVELOPMENT PROJECTS WITH RESPECT TO SCIENTIFIC AND SOCIETAL NEEDS AND REQUIREMENTS
5.1 Societal conditions, including economic, social, and ecological aspects of sustainable development for knowledge development

                            
5.2 Economic conditions for knowledge development

                            
5.3 Identification of needs, structuring and planning of research or development projects

                            
5.4 Execution of research or development projects

                            
5.5 Presentation and evaluation of research or development projects

                            

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