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Summer Term 2018

On this page you find all the courses offered by the chair of Software Engineering in the summer term 2018 as well as respective slides and accompanying exercises.

Softwaretechnik / Software Engineering (Lecture)

Software engineering is "the application of engineering to software" (IEEE 610.12). Goal of this course is to provide a broad overview over the challenges of software engineering and techniques and tools to overcome them. To this end, we will discuss the main activities with software development (in particular project management, requirements engineering, design, testing, formal verification) with an emphasis on formal methods. We will study process models, (software metrics), approaches to requirements specification and analysis, (formal) modeling and analysis techniques, design and architecture patterns, testing, and program verification.

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Decision Procedures (Lecture)

Decision Procedures are the basis for program verification: The task of program verification is to give a formal proof that a program meets its specification. This amounts to determining the truth value of a logical formula. A decision procedure is an algorithm that can for a certain type of formulas decide whether the formula is true or false. We will investigate decision procedures for different logics. Starting with propositional logic we will investigate decision procedures for logics with integers, reals, recursive structures (lists and trees), arrays, etc.

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Program Verification (Lecture)

Often computers are used in embedded, networked, safety critical applications. The cost of failure is high. In this lecture we introduce the basis of automatic tools for ensuring that a system does not have bad behaviours. In the lecture, we start with a short introduction to propositional logic and first-order reasoning. We then go on to establish a setting for the verification of programs, whose correctness is specified by a kind of program comments. In this setting, the correctness of the program is reduced to the validity of logical formulas. The validity is proven automatically by a new generation of powerful reasoning engines. Finally, we connect verification with static analysis methods that have been developed originally in compiler optimization and which are formalized by Patrick and Radhia Cousot's framework of abstract interpretation.

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Softwarepraktikum (Nur für B.Sc. Informatik und B. Sc. ESE)

In diesem Praktikum soll ein Softwareentwicklungsprozess, beginnend bei Anforderungserhebung über Entwurfsphase bis hin zur Implementierung, die Organisation der Arbeit innerhalb einer Gruppe und der Umgang mit komplexen Systemen erlernt werden. Die Teilnehmer werden von den Betreuern in Gruppen eingeteilt und müssen eine bestimmte Aufgabenstellung realisieren. Hierzu müssen sie sich selbst organisieren, die Anforderungen definieren, Arbeit geschickt auf Gruppenmitglieder verteilen und neue Technologien selbstständig erlernen.

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Automata Theory (Seminar, Proseminar)

In the lecture about theoretical computer science you have seen finite automata, pushdown automata and Turing machines. All three of them operate on finite words. However there are other automata models and automata that do not operate on finite words, but e.g. on infinite words, on nested words, on trees, etc. In this seminar we will have a look at automata models that you have not seen in the lecture on theoretical computer science.

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Program Analysis (Seminar)

Program analysis is the research area that studies the automatic analysis of computer programs. The methods that are developed in this research area e.g., help programmers to understand complex programs, allow compilers to optimize their code, and enable computers to check the correctness of programs. In this seminar each student will study a research paper and give a talk in which he/she presents a summary of the paper.

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