Mathematical Foundations of Software Engineering / Texts in Computer Science (PDF)

Topics and features:

• Addresses core mathematics for critical thinking and problem solving
• Discusses propositional and predicate logic and various proof techniques to demonstrate the correctness of a logical argument.
• Examines number theory and its applications to cryptography
• Considers the underlying mathematics of error-correcting codes
• Discusses graph theory and its applications to modelling networks
• Reviews tools to support software engineering mathematics, including automated and interactive theorem provers and model checking
• Discusses financial software engineering, including simple and compound interest, probability and statistics, and operations research
• Discusses software reliability and dependability and explains formal methods used to derive a program from its specification
• Discusses calculus, matrices, vectors, complex numbers, and quaternions, as well as applications to graphics and robotics
• Includes key learning topics, summaries, and review questions in each chapter, together with a useful glossary

This practical and easy-to-follow textbook/reference is ideal for computer science students seeking to learn how mathematics can assist them in building high-quality and reliable software on time and on budget. The text also serves as an excellent self-study primer for software engineers, quality professionals, and software managers.