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
Course offered for Semester Period Timetable module Language Campus ECV
6CDDD Computer Science and Engineering, M Sc in Engineering 8 (Spring 2021) 1, 2 2, 2 Swedish Linköping E
6CDDD Computer Science and Engineering, M Sc in Engineering (Large Scale Software Engineering) 8 (Spring 2021) 1, 2 2, 2 Swedish Linköping E
6CDDD Computer Science and Engineering, M Sc in Engineering (Secure Systems) 8 (Spring 2021) 1, 2 2, 2 Swedish Linköping E
6CMJU Computer Science and Software Engineering, M Sc in Engineering 8 (Spring 2021) 1, 2 2, 2 Swedish Linköping E
6CMJU Computer Science and Software Engineering, M Sc in Engineering (Large Scale Software Engineering) 8 (Spring 2021) 1, 2 2, 2 Swedish Linköping E
6CMJU Computer Science and Software Engineering, M Sc in Engineering (Secure Systems) 8 (Spring 2021) 1, 2 2, 2 Swedish Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Chinese 8 (Spring 2021) 1, 2 2, 2 Swedish Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - French 8 (Spring 2021) 1, 2 2, 2 Swedish Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - German 8 (Spring 2021) 1, 2 2, 2 Swedish Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Japanese 8 (Spring 2021) 1, 2 2, 2 Swedish Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Spanish 8 (Spring 2021) 1, 2 2, 2 Swedish Linköping E
6CIII Industrial Engineering and Management, M Sc in Engineering 8 (Spring 2021) 1, 2 2, 2 Swedish Linköping E
6CITE Information Technology, M Sc in Engineering 8 (Spring 2021) 1, 2 2, 2 Swedish Linköping E
6CITE Information Technology, M Sc in Engineering (Large Scale Software Engineering) 8 (Spring 2021) 1, 2 2, 2 Swedish Linköping E
6CITE Information Technology, M Sc in Engineering (Secure Systems) 8 (Spring 2021) 1, 2 2, 2 Swedish Linköping E
ECV = Elective / Compulsory / Voluntary

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

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 is not fully translated to English.

I U A Modules Comment
1. ÄMNESKUNSKAPER
1.1 Kunskaper i grundläggande matematiska och naturvetenskapliga ämnen
X
Grundläggande matematisk statistik
Basic statistics
1.2 Kunskaper i grundläggande (motsvarande G1X) teknikvetenskapliga ämnen
X
Färdighet i programvarukonstruktion, förmåga att arbeta i projekt
Software engineering proficiency, ability to work in groups in Projects.
1.3 Fördjupade kunskaper (motsvarande G2X), metoder och verktyg inom något/några teknik- och naturvetenskapliga ämnen
Metoder och verktyg för programvarukvalitet
Methods and tools for software quality
1.4 Väsentligt fördjupade kunskaper (motsvarande A1X), metoder och verktyg inom något/några teknik- och naturvetenskapliga ämnen
1.5 Insikt i aktuellt forsknings- och utvecklingsarbete
2. INDIVIDUELLA OCH YRKESMÄSSIGA FÄRDIGHETER OCH FÖRHÅLLNINGSSÄTT
2.1 Analytiskt tänkande och problemlösning
X
X
PRA1
Används: Tidigare kunskaper i programvarukonstruktion från kandidatprojekt eller motsvarande. Undervisas i att anaysera processer hos ett programmeringsprojekt och att analysera de vanligaste kvalitetsfaktorerna hos programvara
Use earlier skills in project courses
2.2 Experimenterande och undersökande arbetssätt samt kunskapsbildning
X
X
PRA1
Utvärdering av kvalitetsfaktorer i existerande projekt
Assessment of quality in existing projects
2.3 Systemtänkande
X
Programvaruutveckling som process, analyserad som ett system
Software engineering organized as a system
2.4 Förhållningssätt, tänkande och lärande
X
X
PRA1
Coaching av studenter in kandidatprojekt
Coaching of students in bachelor projects
2.5 Etik, likabehandling och ansvarstagande
X
PRA1
Krävs samarbete i projektgrupperna
Cooperation necessary for the coaching part
3. FÖRMÅGA ATT ARBETA I GRUPP OCH ATT KOMMUNICERA
3.1 Arbete i grupp
X
PRA1
Förmåga att samarbeta i projektgrupperna
Cooperation in project groups
3.2 Kommunikation
X
PRA1
Kommunikation med studenter som gör arbete på grundläggande nivå, och vars arbete studeras av studenterna i den aktuella kursen.
Communication with students in the bachelor course
3.3 Kommunikation på främmande språk
X
English is the default course language
English is the default course language
4. PLANERING, UTVECKLING, REALISERING OCH DRIFT AV TEKNISKA PRODUKTER OCH SYSTEM MED HÄNSYN TILL AFFÄRSMÄSSIGA OCH SAMHÄLLELIGA BEHOV OCH KRAV
4.1 Samhälleliga villkor, inklusive ekonomiskt, socialt och ekologiskt hållbar utveckling för kunskapsutveckling
X
PRA1
Ekonomisk hållbarhet med avseende på produktkvalitet
Economic sustainability with product quality
4.2 Företags- och affärsmässiga villkor
X
Lönsamhet i kvalitetsarbete
4.3 Att identifiera behov samt strukturera och planera utveckling av produkter och system
4.4 Att konstruera produkter och system
X
X
PRA1
kvalitetsprocesser vid programvaruutveckling
quality processes in software development
4.5 Att realisera produkter och system
4.6 Att ta i drift och använda produkter och system
5. PLANERING, GENOMFÖRANDE OCH PRESENTATION AV FORSKNINGS- ELLER UTVECKLINGSPROJEKT MED HÄNSYN TILL VETENSKAPLIGA OCH SAMHÄLLELIGA BEHOV OCH KRAV
5.1 Samhälleliga villkor, inklusive ekonomiskt, socialt och ekologiskt hållbar utveckling
5.2 Ekonomiska villkor för kunskapsutveckling
5.3 Att identifiera behov samt strukturera och planera forsknings- eller utvecklingsprojekt
X
PRA1
5.4 Att genomföra forsknings- eller utvecklingsprojekt
X
PRA1
5.5 Att redovisa och utvärdera forsknings- eller utvecklingsprojekt
X
PRA1

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