Software Quality, 6 credits

Programvarukvalitet, 6 hp

TDDE46

The course is disused. Offered for the last time Spring semester 2022.

Main field of study

Information Technology Computer Science and Engineering Computer Science

Course level

Second cycle

Course type

Programme course

Examiner

Kristian Sandahl

Director of studies or equivalent

Ola Leifler

Education components

Preliminary scheduled hours: 36 h
Recommended self-study hours: 124 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 8 (Spring 2019) 1, 2 2, 2 Swedish/English Linköping, Valla E
6CDDD Computer Science and Engineering, M Sc in Engineering (Large Scale Software Engineering) 8 (Spring 2019) 1, 2 2, 2 Swedish/English Linköping, Valla E
6CDDD Computer Science and Engineering, M Sc in Engineering (Secure Systems) 8 (Spring 2019) 1, 2 2, 2 Swedish/English Linköping, Valla E
6CMJU Computer Science and Software Engineering, M Sc in Engineering 8 (Spring 2019) 1, 2 2, 2 Swedish/English Linköping, Valla E
6CMJU Computer Science and Software Engineering, M Sc in Engineering (Large Scale Software Engineering) 8 (Spring 2019) 1, 2 2, 2 Swedish/English Linköping, Valla E
6CMJU Computer Science and Software Engineering, M Sc in Engineering (Secure Systems) 8 (Spring 2019) 1, 2 2, 2 Swedish/English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Chinese 8 (Spring 2019) 1, 2 2, 2 Swedish/English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - French 8 (Spring 2019) 1, 2 2, 2 Swedish/English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - German 8 (Spring 2019) 1, 2 2, 2 Swedish/English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Japanese 8 (Spring 2019) 1, 2 2, 2 Swedish/English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Spanish 8 (Spring 2019) 1, 2 2, 2 Swedish/English Linköping, Valla E
6CIII Industrial Engineering and Management, M Sc in Engineering 8 (Spring 2019) 1, 2 2, 2 Swedish/English Linköping, Valla E
6CITE Information Technology, M Sc in Engineering 8 (Spring 2019) 1, 2 2, 2 Swedish/English Linköping, Valla E
6CITE Information Technology, M Sc in Engineering (Large Scale Software Engineering) 8 (Spring 2019) 1, 2 2, 2 Swedish/English Linköping, Valla E
6CITE Information Technology, M Sc in Engineering (Secure Systems) 8 (Spring 2019) 1, 2 2, 2 Swedish/English Linköping, Valla E

Main field of study

Information Technology, Computer Science and Engineering, Computer Science

Course level

Second cycle

Advancement level

A1N

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, M Sc in Engineering
  • Industrial Engineering and Management - International, M Sc in Engineering

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

Software engineering.  

Project-based course in computer science or information technology

Skills in programming in multiple languages. 

Knowledge of discrete mathematics and mathematical statistics

Intended learning outcomes

After completing the course the student should be able to:

  • analyze the most common quality factors of software
  • design models of how quality factors in software can be measured
  • apply tools to improve product quality,
  • apply a description language of processes
  • analyze processes in a programming project
  • apply methods and tools to improve processes,
  • assess the product quality of a programming project
  • assess the process quality of a programming project
  • integrate quality evaluations in an ongoing programming project

Course content

 

  • Metrics for product, process and resources
  • The Goal-Question-Metric method
  • Tools for measurement, verification and fault detection
  • The Essence-standard for describing and working with software development practices
  • Quality assurance methods
  • Evaluation of an ongoing project
  • Choaching of members of an ongoing project
  • Write a quality report

Teaching and working methods

Theory is given through lectures.

Laboratory work on tools. 

Students are organized into groups, each with responsibility for evaluating and improving quality and quality work with an ongoing student project in the lower years. The group will interact throughout the semester with students from lower years. In a number of seminars the groups share experience and make action plans. Theoretical knowledge is demonstrated by the students in the seminars. The mission can be likened to a consultancy work and ends with a report that participants in the lower year may have as a basis for their bachelor works. Each report contain a common part and an individual investigation.

Examination

PRA1Project4 creditsU, 3, 4, 5
LAB1Computer lab assignments2 creditsU, G

Project work (4HP) requires coaching of students in TDDD96, participation in 80% of seminars and an approved report. Well-performed seminars and individual analyses can award a higher grade

Grades

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

Course literature

Announced on the course web pages

Other information

Supplementary courses

It is an advantage to read the course Software Architectures at the same time as this course.

Department

Institutionen för datavetenskap

Director of Studies or equivalent

Ola Leifler

Examiner

Kristian Sandahl

Education components

Preliminary scheduled hours: 36 h
Recommended self-study hours: 124 h

Course literature

Other

Code Name Scope Grading scale
PRA1 Project 4 credits U, 3, 4, 5
LAB1 Computer lab assignments 2 credits U, G

Project work (4HP) requires coaching of students in TDDD96, participation in 80% of seminars and an approved report. Well-performed seminars and individual analyses can award a higher grade

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
Basic statistics
1.2 Fundamental engineering knowledge (G1X level)
X
Software engineering proficiency, ability to work in groups in Projects.
1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level)
X
LAB1
PRA1

                            
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
PRA1

                            
2.2 Experimentation, investigation, and knowledge discovery
X
PRA1

                            
2.3 System thinking
X

                            
2.4 Attitudes, thought, and learning

                            
2.5 Ethics, equity, and other responsibilities
X
PRA1

                            
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
3.1 Teamwork
X
PRA1

                            
3.2 Communications
X
PRA1

                            
3.3 Communication in foreign languages

                            
4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT
4.1 External, societal, and environmental context
X
PRA1

                            
4.2 Enterprise and business context
X

                            
4.3 Conceiving, system engineering and management

                            
4.4 Designing
X
PRA1

                            
4.5 Implementing

                            
4.6 Operating

                            
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
X
PRA1

                            
5.4 Execution of research or development projects
X
PRA1

                            
5.5 Presentation and evaluation of research or development projects
X
PRA1

                            

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