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 2019) 1, 2 2, 2 Swedish Linköping E
6CDDD Computer Science and Engineering, M Sc in Engineering (Large Scale Software Engineering) 8 (Spring 2019) 1, 2 2, 2 Swedish Linköping E
6CDDD Computer Science and Engineering, M Sc in Engineering (Secure Systems) 8 (Spring 2019) 1, 2 2, 2 Swedish Linköping E
6CMJU Computer Science and Software Engineering, M Sc in Engineering 8 (Spring 2019) 1, 2 2, 2 Swedish Linköping E
6CMJU Computer Science and Software Engineering, M Sc in Engineering (Large Scale Software Engineering) 8 (Spring 2019) 1, 2 2, 2 Swedish Linköping E
6CMJU Computer Science and Software Engineering, M Sc in Engineering (Secure Systems) 8 (Spring 2019) 1, 2 2, 2 Swedish Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Chinese 8 (Spring 2019) 1, 2 2, 2 Swedish Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - French 8 (Spring 2019) 1, 2 2, 2 Swedish Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - German 8 (Spring 2019) 1, 2 2, 2 Swedish Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Japanese 8 (Spring 2019) 1, 2 2, 2 Swedish Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Spanish 8 (Spring 2019) 1, 2 2, 2 Swedish Linköping E
6CIII Industrial Engineering and Management, M Sc in Engineering 8 (Spring 2019) 1, 2 2, 2 Swedish Linköping E
6CITE Information Technology, M Sc in Engineering 8 (Spring 2019) 1, 2 2, 2 Swedish Linköping E
6CITE Information Technology, M Sc in Engineering (Large Scale Software Engineering) 8 (Spring 2019) 1, 2 2, 2 Swedish Linköping E
6CITE Information Technology, M Sc in Engineering (Secure Systems) 8 (Spring 2019) 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
  • 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

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.

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
X
LAB1
PRA1
Se lärandemål
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
2.2 Experimenterande och undersökande arbetssätt samt kunskapsbildning
X
PRA1
Utvärdering av kvalitetsfaktorer i existerande projekt
2.3 Systemtänkande
X
Programvaruutveckling som process, analyserad som ett system
2.4 Förhållningssätt, tänkande och lärande
2.5 Etik, likabehandling och ansvarstagande
X
PRA1
Krävs samarbete i projektgrupperna
3. FÖRMÅGA ATT ARBETA I GRUPP OCH ATT KOMMUNICERA
3.1 Arbete i grupp
X
PRA1
Förmåga att samarbeta i projektgrupperna
3.2 Kommunikation
X
PRA1
Kommunikation med studenter som gör arbete på grundläggande nivå, och vars arbete studeras av studenterna i den aktuella kursen.
3.3 Kommunikation på främmande språk
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
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
PRA1
kvalitetsprocesser vid programvaruutveckling
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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