Software Quality, 6 credits

Programvarukvalitet, 6 hp

TDDE46

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 2020) 1, 2 2, 2 Swedish/English Linköping E
6CDDD Computer Science and Engineering, M Sc in Engineering (Large Scale Software Engineering) 8 (Spring 2020) 1, 2 2, 2 Swedish/English Linköping E
6CDDD Computer Science and Engineering, M Sc in Engineering (Secure Systems) 8 (Spring 2020) 1, 2 2, 2 Swedish/English Linköping E
6CMJU Computer Science and Software Engineering, M Sc in Engineering 8 (Spring 2020) 1, 2 2, 2 Swedish/English Linköping E
6CMJU Computer Science and Software Engineering, M Sc in Engineering (Large Scale Software Engineering) 8 (Spring 2020) 1, 2 2, 2 Swedish/English Linköping E
6CMJU Computer Science and Software Engineering, M Sc in Engineering (Secure Systems) 8 (Spring 2020) 1, 2 2, 2 Swedish/English Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Chinese 8 (Spring 2020) 1, 2 2, 2 Swedish/English Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - French 8 (Spring 2020) 1, 2 2, 2 Swedish/English Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - German 8 (Spring 2020) 1, 2 2, 2 Swedish/English Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Japanese 8 (Spring 2020) 1, 2 2, 2 Swedish/English Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Spanish 8 (Spring 2020) 1, 2 2, 2 Swedish/English Linköping E
6CIII Industrial Engineering and Management, M Sc in Engineering 8 (Spring 2020) 1, 2 2, 2 Swedish/English Linköping E
6CITE Information Technology, M Sc in Engineering 8 (Spring 2020) 1, 2 2, 2 Swedish/English Linköping E
6CITE Information Technology, M Sc in Engineering (Large Scale Software Engineering) 8 (Spring 2020) 1, 2 2, 2 Swedish/English Linköping E
6CITE Information Technology, M Sc in Engineering (Secure Systems) 8 (Spring 2020) 1, 2 2, 2 Swedish/English Linköping E

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

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

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.

About teaching and examination language

The teaching language is presented in the Overview tab for each course. The examination language relates to the teaching language as follows: 

  • If teaching language is Swedish, the course as a whole or in large parts, is taught in Swedish. Please note that although teaching language is Swedish, parts of the course could be given in English. Examination language is Swedish. 
  • If teaching language is Swedish/English, the course as a whole will be taught in English if students without prior knowledge of the Swedish language participate. Examination language is Swedish or English (depending on teaching language). 
  • If teaching language is English, the course as a whole is taught in English. Examination language is English. 

Other

The course is conducted in a manner where both men's and women's experience and knowledge are made visible and developed. 

The planning and implementation of a course should correspond to the course syllabus. The course evaluation should therefore be conducted with the course syllabus as a starting point.  

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
LAB1 Computer lab assignments 2 credits U, G
PRA1 Project 4 credits U, 3, 4, 5

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)
Methods and tools for software quality
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
Use earlier skills in project courses
2.2 Experimentation, investigation, and knowledge discovery
X
X
PRA1
Assessment of quality in existing projects
2.3 System thinking
X
Software engineering organized as a system
2.4 Attitudes, thought, and learning
X
X
PRA1
Coaching of students in bachelor projects
2.5 Ethics, equity, and other responsibilities
X
PRA1
Cooperation necessary for the coaching part
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
3.1 Teamwork
X
PRA1
Cooperation in project groups
3.2 Communications
X
PRA1
Communication with students in the bachelor course
3.3 Communication in foreign languages
X
English is the default course language
4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT
4.1 External, societal, and environmental context
X
PRA1
Economic sustainability with product quality
4.2 Enterprise and business context
X

                            
4.3 Conceiving, system engineering and management

                            
4.4 Designing
X
X
PRA1
quality processes in software development
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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