Course Manual SM
Software Management
PDF Course Catalog Deutsche Version: SM
Version: 2 | Last Change: 30.07.2019 23:44 | Draft: 0 | Status: vom verantwortlichen Dozent freigegeben
| Long name | Software Management |
|---|---|
| Approving CModule | SM_BaTIN |
| Responsible |
Prof. Dr. René Wörzberger
Professor Fakultät IME |
| Valid from | winter semester 2022/23 |
| Level | Bachelor |
| Semester in the year | winter semester |
| Duration | Semester |
| Hours in self-study | 78 |
| ECTS | 5 |
| Professors |
Prof. Dr. René Wörzberger
Professor Fakultät IME |
| Requirements | (1) advanced programming skills in Java (2) experiences with development projects in teams (3) basic knowledge in software engineering |
| Language | German, English if necessary |
| Separate final exam | Yes |
Literature
| wird in Vorlesung bekannt gegeben |
Final exam
| Details | The final exam is either written or oral. Guided by stepwise assignments, students have to demonstrate how they develop a system in a team, automate build steps, implement automated tests and how to build a system cluster in the cloud. |
|---|---|
| Minimum standard | Some basic knowledge in the aforementioned topics must be demonstrated. Usually, in written exams 50% of all exam points suffice. |
| Exam Type | EN Klausur |
Learning goals
| Goal type | Description |
|---|---|
| Knowledge | inner workings of the source code management systems Git |
| Knowledge | organizing teams with GitLab functions |
| Knowledge | automate builds with Apache Maven |
| Knowledge | continuous integration and delivery (CICD) with GitLab Runner |
| Knowledge | test automation with JUnit |
| Knowledge | developing mocks with Mockito |
| Knowledge | automating web ui tests with Selenium |
| Knowledge | automating web ui tests with Selenium |
| Knowledge | measuring code quality with Sonarqube |
| Knowledge | on-prem and cloud infrastructures |
| Skills | creating a system cluster in the Google Cloud |
| Knowledge | container virtualization with Docker |
| Knowledge | container orchestration with Kubernetes |
Expenditure classroom teaching
| Type | Attendance (h/Wk.) |
|---|---|
| Lecture | 2 |
| Exercises (whole course) | 1 |
| Exercises (shared course) | 0 |
| Tutorial (voluntary) | 0 |
Special requirements
| none |
| Accompanying material |
(1) lecture slides (2) lecture notes (tbd) (3) assignment sheets |
|---|---|
| Separate exam | No |
Learning goals
| Goal type | Description |
|---|---|
| Skills | how to develop in teams with GitLab |
| Skills | adding and developing a code base with Git |
| Skills | creating build scripts with Maven |
| Skills | Implementation of tests with JUnit, Mockito, Selenium, and JMeter |
| Skills | containerization and deployment with Docker and Kubernetes |
| Skills | set-up of a system cluster in the Google Cloud including (continuous) deployment of releases |
Expenditure classroom teaching
| Type | Attendance (h/Wk.) |
|---|---|
| Practical training | 1 |
| Tutorial (voluntary) | 0 |
Special requirements
| none |
| Accompanying material | assignment sheets for the prepared part (home work) of the lab course, assignment sheets for the on-site part of the lab course |
|---|---|
| Separate exam | Yes |
Separate exam
| Exam Type | EN Projektaufgabe im Team bearbeiten (z.B. im Praktikum) |
|---|---|
| Details | Solutions of the home work and on-site part of the lab course have to be demonstrated by the student teams and to be discussed with supervisors. In case of sufficient solution quality members of the respective team get a pass for the lab course part. There are about 3 to 4 lab course parts in each term. |
| Minimum standard | Solutions must work in the sense of the assignment. |
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