Overview
Software engineering is an engineering discipline whose focus is the cost-effective development of high-quality software systems. The emphasis in software engineering is on both words, software and engineering. An engineer is able to build a high-quality product using off-the-shelf components and integrating them under time and budget constraints.
This course will cover key techniques for building reliable software. These include: modeling, design patterns, code refactoring, testing, symbolic execution, as well as static and dynamic program analysis. To gain a deeper understanding of how to apply these techniques in practice, the course will also involve two hands-on projects based on the principles introduced in the lectures.
Lectures (Part II)
| No. | Date | Content | Slides | Exercises | Solutions |
|---|---|---|---|---|---|
| 8 | April 8 | Introduction to Analysis |
|
|
|
| 9 | April 15 | Mathematical Background for Analysis |
|
|
|
| 10 | April 29 | Applying the Theory: Intervals |
|
|
|
| 11 | May 6 | Alias and Pointer Analysis |
|
|
|
| 12 | May 8 | Application of Concepts: Analysis of HPC/GPU programs |
|
|
|
| 13 | May 20 | Symbolic Execution for Testing |
|
|
|
14 | May 22 | VerX: Combining AI with Symbolic Execution for Smart Contract Security |
|