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)
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6 | Introduction to Analysis |
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7 | Mathematical Background for Analysis |
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9 | Application of AI to Numerical |
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10 | Application of AI to Heap |
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11 | Symbolic Execution for Test Case Generation |
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12 | Application of Concepts: Analysis of HPC/GPU programs |
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13 | Dynamic Race Detection |
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