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Lecture: Softwaretechnik / Software Engineering

Overview

The development of good and successful software requires more than just programming knowledge. Software engineering deals with the systematic use of principles, methods, and tools for the division of labor, engineering development, and application of extensive software systems.

Professional software developers, architects, and managers need to be able to answer the following questions:

  • When is a software product good enough to ship?
  • Have we developed what the customer or user really needs?
  • What do we do if tomorrow we have 10 times more users for our software system and 100 times the day after tomorrow?
  • How can we import changes into our software as quickly and safely as possible?
  • Why is it that we are not as good at software development as others?

Successful software projects require more than just technical expertise. Finding out what the customer wants, working together in a team, managing complexity, reducing risks, adhering to time and budget constraints and determining under various restrictions when a product is good enough to be delivered are at least as important topics. They often have a significant human component. The lecture deals with these topics and covers the basics of modern software engineering to a large extent.

We will examine the following topics:

  • Process consideration in software development
    (How can problems be avoided at an early stage? When and how much is to be designed? When and how much is to be tested? When and how are the customers to be involved? Agile methods ...)
  • Requirements elicitation, documentation, and evaluation
    (How do you find out what the customer really wants? Who is interested? How can we measure success objectively? How can we reliably document expectations? ...)
  • Software Design und Software Architektur
    (How can we design a system so that it is scalable for millions of users? How can we build security into a system?)
  • Quality assurance measures including measurement, inspection, static and dynamic analysis
    (Which quality assurance strategy is best suited for a particular system? What can we automate and when should we keep people up to date? How many tests and what type of tests should we run? What properties are important to ensure beyond functional correctness? Can we evaluate usability, scalability, reliability, performance? How can we statically guarantee the absence of certain security problems? ...)
  • Empirical methods in software engineering
    (How can we measure quality characteristics such as performance, security, and reliability? How can we measure how users interact with the system? How can we know whether the difference matters? ...)
  • Time and team management / network plan
    (How do you estimate the duration and costs of a project? How do you monitor progress and risks in order to identify problems at an early stage? How do you coordinate developers in a team? How can you form and develop teams? How do you choose do you motivate team members? How do you deal with team dynamics such as social loafing? ....)
  • Economics of software development
    (business models, outsourcing, open source, ...)

This course has a strong technical focus and includes homework with and without programming. The students gain experience with team management and modern software engineering tools. The course optimally prepares students for management positions in software development projects.

 

Organization

The lecture takes place on Mondays and Wednesdays from 4:00 pm to 5:30 pm in HS2 in the Physik building (321 Hörsaal II (265/159 Sitzpl.), Zülpicher Str., 77(321), Erdgeschoß).

There are a total of 5 exercise groups to accompany the lecture. The exercise groups start on October 14th.
Group 1: Mondays, 10:00 - 11:30, Gebäude 415 (Sibille-Hartmann-Str. 2-8), Seminarraum 1.421
Group 2: Mondays, 14:00 - 15:30, Gebäude 415 (Sibille-Hartmann-Str. 2-8), Seminarraum 1.421 
Group 3: Tuesday, 14:00 - 15:30, Gebäude 133 (Weyertal 121), Seminarraum 5.08
Group 4: Tuesday, 16:00 - 17:30, Gebäude 133 (Weyertal 121), Seminarraum 5.08
Group 4: Wednesday, 10:00 - 11:30, Gebäude 133 (Weyertal 121), Seminarraum 5.08

Contact Persons

Prof. Dr. Andreas Vogelsang
Main Responsible and Lecturer
Adrian Bajraktari
Lecturer, Exercise Organizer, and Group 5
Alexander Korn
Groups 1 and 3
Lukas Scheib
Groups 2 and 4

Schedule

Date Topic of the lecture Topic of exercises
07.10.2024 Introduction, Motivation No class
09.10.2024 SE in a Nutshell
14.10.2024 Requirements I W1: Introduction and Organization
16.10.2024 Requirements II
21.10.2024 System Modeling W2: Requirements
23.10.2024 Architecture
28.10.2024 Object-Oriented Programming W3: System Modeling and Architecture
30.10.2024 Advanced Programming
04.11.2024 Object-Oriented Modeling W4: Programming
06.11.2024 Design Patterns
11.11.2024 No class, video on tooling instead W5: Object-Oriented Modeling and Patterns
13.11.2024 Web Engineering I
18.11.2024 Web Engineering II W6: Web Engineering I
20.11.2024 Web Engineering III
25.11.2024 Quality Assurance and Testing I W7: Web Engineering II
27.11.2024 Quality Assurance and Testing II
02.12.2024 Quality Assurance and Testing III W8: Testing I
04.12.2024 Quality Assurance and Testing IV
09.12.2024 Deployment & Operations I W9: Testing II
11.12.2024 Deployment & Operations II
16.12.2024 Process W10: Deployment and Operations
18.12.2024 Product Management
23.12.24 - 06.01.25 Winter Break W11: tbd
08.01.2025 tbd
13.01.2025 Evolution

W12: Process and Management

15.01.2025 Open Source
20.01.2025 Guest Lecture W13: Evolution, Open Source and Q&A
22.01.2025 Ethics
27.01.2025 Outlook and Q&A No class
29.01.2025 No class
Mo,
05.02.2024,
12:30-14:30
First Exam  
Mi,
27.03.2024,
12:30-14:30
Second Exam  

Rules and Agreements

The lecture has an ILIAS course for the slides, submission of homework, and supplementary documents;  We'll be using Mattermost for announcements, communication, and group work. See ILIAS for the link to register.

Waiting list: The lecture is not limited in size.

Prerequisites: No formal prerequisites but we recommend that you have completed the programming course I and II and Info I (data structures and algorithms).

Textbook: We do not have a single textbook, but rather compile lectures from various sources.
For optional supplementary reading, consider Ian Sommerville, Software Engineering and Ian Sommerville, Engineering Software Products: An Introduction to Modern Software Engineering.

Homework:  Every Wednesday evening, we publish a homework sheet. Homework sheets must be submitted 2 weeks after on wednesday before 16:00.

Grading: The grading is based on the results of the exam. If you achieved >= 75% of points from homework sheets you get a 5% bonus on your exam points. If you achieved >= 90% of points from homework sheets you get a 10% bonus on your exam points.

Delayed submissions:  Delays are not tolerated and are considered as 0 points. 

Time management: This is a course with 9 ECTS points. We therefore expect that you will spend up to 12 hours per week on the course. Typically 6 hours per week are spent on lectures and exercise groups and 6 hours on homework sheets. 

Group work: You are allowed to work on the homeworks in groups of up to 3 people. It is part of your responsibility to organize yourselves.