Large-Scale Software Development - Structures and Processes, 6 credits

Storskalig mjukvaruutveckling - strukturer och processer, 6 hp

TDDE06

The course is disused. Replaced by TDDE51.

Main field of study

Information Technology Computer Science and Engineering Computer Science

Course level

Second cycle

Course type

Programme course

Examiner

Ola Leifler

Director of studies or equivalent

Ola Leifler

Education components

Preliminary scheduled hours: 30 h
Recommended self-study hours: 130 h

Available for exchange students

Yes

Possible deviation from course syllabus/programme syllabus

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 2018)	1, 2	4, 4	English	Linköping, Valla	E
6CDDD	Computer Science and Engineering, M Sc in Engineering (Large Scale Software Engineering)	8 (Spring 2018)	1, 2	4, 4	English	Linköping, Valla	E
6CMJU	Computer Science and Software Engineering, M Sc in Engineering	8 (Spring 2018)	1, 2	4, 4	English	Linköping, Valla	E
6CMJU	Computer Science and Software Engineering, M Sc in Engineering (Large Scale Software Engineering)	8 (Spring 2018)	1, 2	4, 4	English	Linköping, Valla	E
6CITE	Information Technology, M Sc in Engineering	8 (Spring 2018)	1, 2	4, 4	English	Linköping, Valla	E
6CITE	Information Technology, M Sc in Engineering (Large Scale Software Engineering)	8 (Spring 2018)	1, 2	4, 4	English	Linköping, Valla	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
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

Students should be proficient in unit-level testing and software design principles and patterns. Students should also have basic proficiency in source code management tools and build tools for software. Students must be proficient in reading technical English texts.

Intended learning outcomes

After this course, students shall be able to:

account for roles in large-scale development projects
describe the organization, requirements and coding conventions of a large-scale development project
use tools and methods appropriate for large-scale development projects
analyze the utility of tools and methods for large-scale development within the context of a specific development project.

Course content

Module systems for large-scale software projects,
Communications in distributed development teams,
Techniques and tools for automated dependency management, testing and deployment of software, such as, for example, Maven, Jenkins and Docker.
Principles for distributed version control systems such as, for example, Git and Mercurial.

Teaching and working methods

Labs, lectures, seminars
The course runs over the entire spring semester,

Examination

LAB1	Computer assignments	4 credits	U, 3, 4, 5
UPG1	Hand-in assignments	2 credits	U, G

UPG1: Individual submissions in preparation to seminars. Goals 1 and 2 are primarily assessed by UPG1
LAB1: Conducted in groups. Individually assessed orally at the end of the course for final grade. Goals 3 and 4 are primarily assessed by LAB1.
There will be three opportunities per year to be assessed in the course, during exam periods.

Grades

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

Department

Institutionen för datavetenskap

Director of Studies or equivalent

Ola Leifler

Examiner

Ola Leifler

Education components

Preliminary scheduled hours: 30 h
Recommended self-study hours: 130 h

Code	Name	Scope	Grading scale
LAB1	Computer assignments	4 credits	U, 3, 4, 5
UPG1	Hand-in assignments	2 credits	U, G

Student rights and obligations (login required)
Linköping University common rules and regulations (in Swedish)

There is no course literature available for this course in studieinfo.

Note: The course matrix might contain more information in Swedish.

I = Introduce, U = Teach, A = Utilize

		I	U	A	Modules
1. DISCIPLINARY KNOWLEDGE AND REASONING
	1.1 Knowledge of underlying mathematics and science (G1X level)
	1.2 Fundamental engineering knowledge (G1X level)	X			UPG1
	1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level)		X		LAB1
	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
	2.2 Experimentation, investigation, and knowledge discovery			X	LAB1
	2.3 System thinking
	2.4 Attitudes, thought, and learning
	2.5 Ethics, equity, and other responsibilities
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
	3.1 Teamwork			X	LAB1
	3.2 Communications			X	LAB1 UPG1
	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
	4.2 Enterprise and business context
	4.3 Conceiving, system engineering and management
	4.4 Designing			X	LAB1
	4.5 Implementing		X		LAB1
	4.6 Operating		X		LAB1 UPG1
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
	5.4 Execution of research or development projects
	5.5 Presentation and evaluation of research or development projects

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