Software Quality, 6 credits (TDDE46)

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

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

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