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.
Project (Part II) Description
Please see the project (part II) description here.
Lectures (Part II)
|6||Apr 18, 23||Introduction to Analysis|
|7||Apr 25, April 30||Mathematical Background for Analysis|
|9||May 2||Application of AI to Numerical|
|10||May 7||Application of AI to Heap|
|11||May 14||Symbolic Execution for Test Case Generation|
|12||May 16||Application of Concepts: Analysis of HPC/GPU programs|
|13||May 23||Dynamic Race Detection|