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Large-Scale Software Development: Contributions and Evolution, 6 credits

Storskalig mjukvaruutveckling - bidrag och evolution, 6 hp

TDDE14

The course is disused. Replaced by TDDE52.

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

Ahmed Reinze

Education components

Preliminary scheduled hours: 0 h
Recommended self-study hours: 160 h

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	9 (Autumn 2017)	1, 2	4, 4	English	Linköping, Valla	E
6CDDD	Computer Science and Engineering, M Sc in Engineering (Large Scale Software Engineering)	9 (Autumn 2017)	1, 2	4, 4	English	Linköping, Valla	E
6CMJU	Computer Science and Software Engineering, M Sc in Engineering	9 (Autumn 2017)	1, 2	4, 4	English	Linköping, Valla	E
6CMJU	Computer Science and Software Engineering, M Sc in Engineering (Large Scale Software Engineering)	9 (Autumn 2017)	1, 2	4, 4	English	Linköping, Valla	E
6CITE	Information Technology, M Sc in Engineering	9 (Autumn 2017)	1, 2	4, 4	English	Linköping, Valla	E
6CITE	Information Technology, M Sc in Engineering (Large Scale Software Engineering)	9 (Autumn 2017)	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

Large-Scale Software Development: Structures and Processes

Understanding different roles in a large-scale software development project
Understand the organization, requirements and conventions of large-scale software development
Explain definitions, and provide examples, of software architectures
Use software development tools tailored to large-scale software development.

Intended learning outcomes

After the course, students shall be able to:

Use existing conventions and follow established processes to contribute through software to a distributed, large-scale development project.
Present changes and updates so external parties may approve submissions.
Create a time plan and monitor progress through a common development project
Use appropriate tools for contemporary, large-scale software development
Independently acquire new knowledge and skills in order to contribute to a large-scale software project.

Course content

The course entails contributing to a large-scale software project in a team.

Teaching and working methods

Project, seminars, lectures.
Students work in teams of 6-8 people where each participant is responsible for developing functionality in a common, existing large software project, and all contributions are documented electronically during the course. The group selects tasks that are sufficiently extensive and interesting to the external project, and actively help one another learn about techniques and processes relevant to the project, plan,conduct and review contributions along the way.
The course runs over the entire sutumn semester.

Examination

PRA1

Project

6 credits

U, 3, 4, 5

Projects are assessed orally and individually. At the start of the course, specific criteria for assessing project contributions according to course goals are presented. During the oral examination, activity traces from collaboration platforms such as Gitlab or Github are used as a basis for assessment. Artifacts to be reviewed are individual code changes contributed, reviews of other team members' submissions, internal team support, time planning and review. Individual changes are reviewed based on acceptance in external projects, as well as course staff criteria, including assessment of the technical level of difficulty, adherence to good industrial practice and design.
Re-examination is conducted during exam periods.

Grades

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

Department

Institutionen för datavetenskap

Director of Studies or equivalent

Ahmed Reinze

Examiner

Ola Leifler

Education components

Preliminary scheduled hours: 0 h
Recommended self-study hours: 160 h

Course literature

Fastställs senare/To be decided

Code	Name	Scope	Grading scale
PRA1	Project	6 credits	U, 3, 4, 5

Regulations (apply to LiU in its entirety)

The university is a government agency whose operations are regulated by legislation and ordinances, which include the Higher Education Act and the Higher Education Ordinance. In addition to legislation and ordinances, operations are subject to several policy documents. The Linköping University rule book collects currently valid decisions of a regulatory nature taken by the university board, the vice-chancellor and faculty/department boards.

LiU’s rule book for education at first-cycle and second-cycle levels is available at http://styrdokument.liu.se/Regelsamling/Innehall/Utbildning_pa_grund-_och_avancerad_niva.

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

Course literature is preliminary.

Fastställs senare/To be decided

Download

Download course literature list as PDF

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)
	1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level)			X	PRA1
	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	PRA1
	2.2 Experimentation, investigation, and knowledge discovery
	2.3 System thinking
	2.4 Attitudes, thought, and learning
	2.5 Ethics, equity, and other responsibilities		X		PRA1
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
	3.1 Teamwork			X	PRA1
	3.2 Communications			X	PRA1
	3.3 Communication in foreign languages			X	PRA1
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			X	PRA1
	4.4 Designing			X	PRA1
	4.5 Implementing			X	PRA1
	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	X			PRA1
	5.2 Economic conditions for knowledge development	X			PRA1
	5.3 Identification of needs, structuring and planning of research or development projects			X	PRA1
	5.4 Execution of research or development projects
	5.5 Presentation and evaluation of research or development projects		X		PRA1

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