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Books > Computing & IT > Applications of computing > Artificial intelligence
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Automated Software Engineering: A Deep Learning-Based Approach (Hardcover, 1st ed. 2020)
Loot Price: R3,794
Discovery Miles 37 940
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Automated Software Engineering: A Deep Learning-Based Approach (Hardcover, 1st ed. 2020)
Series: Learning and Analytics in Intelligent Systems, 8
Expected to ship within 12 - 17 working days
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This book discusses various open issues in software engineering,
such as the efficiency of automated testing techniques, predictions
for cost estimation, data processing, and automatic code
generation. Many traditional techniques are available for
addressing these problems. But, with the rapid changes in software
development, they often prove to be outdated or incapable of
handling the software's complexity. Hence, many previously used
methods are proving insufficient to solve the problems now arising
in software development. The book highlights a number of unique
problems and effective solutions that reflect the state-of-the-art
in software engineering. Deep learning is the latest computing
technique, and is now gaining popularity in various fields of
software engineering. This book explores new trends and experiments
that have yielded promising solutions to current challenges in
software engineering. As such, it offers a valuable reference guide
for a broad audience including systems analysts, software
engineers, researchers, graduate students and professors engaged in
teaching software engineering.
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