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Automated Software Engineering: A Deep Learning-Based Approach

This book discusses various open issues in software engineering, such as the efficiency of automated testing techniques, predictions for;

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Automated Software Engineering

This book discusses various open issues in software engineering, such as the efficiency of automated testing techniques, predictions for;

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Search-Based Software Engineering

optimization techniques. SBSE is a growing field - sitting at the crossroads between AI, machine learning, and software engineering - and SBSE;

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Automated Deep Learning Using Neural Network Intelligence

) toolkit. This book includes practical examples illustrating automated deep learning approaches and provides techniques to facilitate your deep;

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Intelligent Data Engineering and Automated Learning - IDEAL 2016

submissions. They provide a valuable and timely sample of latest research outcomes in data engineering and automated learning ranging from;

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Search-Based Software Engineering

. SBSE is a growing field - sitting at the crossroads between AI, machine learning, and software engineering - and SBSE techniques have begun to;

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Intelligent Data Engineering and Automated Learning - IDEAL 2017

submissions. These papers provided a sample of latest research outcomes in data engineering and automated learning, from methodologies, frameworks and;

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Software Abstractions

An approach to software design that introduces a fully automated analysis giving designers immediate feedback, now featuring the latest;

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Automating Software Design

: A knowledge-Based Software Information System. Reducing the Complexity of Formal Specification Acquisition. Software Reuse and Refinement;

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Environment Modeling-Based Requirements Engineering for Software Intensive Systems

Environment Modeling-Based Requirements Engineering for Software Intensive Systems provides a new and promising approach for engineering;

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RealWorld Software Development A ProjectDriven Guide to Fundamentals in Java

Explore the latest Java-based software development techniques and methodologies through the project-based approach in this practical guide;

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Architecture-Based Design of Multi-Agent Systems

feasibility and applicability of this approach with the development of an automated transportation system consisting of a number of automatic guided;

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Software Engineering

Software engineering deals with designing codes and programs for universal audience or customized application for a small organization;

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Proceedings of the First International Workshop on Intelligent Software Automati

This book is a collection of research papers presented at the International Workshop on Intelligent Software Engineering Automation (ISEA;

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Deep Learning and Practice with MindSpore

This book systematically introduces readers to the theory of deep learning and explores its practical applications based on the MindSpore;

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Deep Learning and Practice with MindSpore

This book systematically introduces readers to the theory of deep learning and explores its practical applications based on the MindSpore;

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Co-Evolution of Metamodels and Model Transformations

allows the automated creation and modification of output models based on input models. As models and model transformations are used in a;

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Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches

Artificial Intelligence (AI), when incorporated with machine learning and deep learning algorithms, has a wide variety of applications;

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Automated Design of Machine Learning and Search Algorithms

This book presents recent advances in automated machine learning (AutoML) and automated algorithm design and indicates the future;

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Machine Learning Engineering with Python

high-quality machine learning products and services. Machine Learning Engineering with Python takes a hands-on approach to help you get to;

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Software Engineering New Approach

Software Engineering New Approach - Authored by the most trusted name in the application designing area, this Book acts like a Bible to;

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Automated Database Applications Testing

, based on the principles of artificial intelligence and unit testing database operations. SpecDB is demonstrated via two automated intelligent;

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Systems Engineering of Software-Enabled Systems

approach is based on developing system capabilities that will provide the features, behaviors, and quality attributes needed by stakeholders, based;

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Deep Learning for Data Analytics

and Challenges provides readers with a focused approach for the design and implementation of deep learning concepts using data analytics;

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Generative and Transformational Techniques in Software Engineering III

This tutorial book presents revised and extended lecture notes for a selection of the contributions presented at the International Summer;

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Feature Engineering for Machine Learning and Data Analytics

Feature engineering plays a vital role in big data analytics. Machine learning and data mining algorithms cannot work without data. Little;

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Feature Engineering for Machine Learning and Data Analytics

Feature engineering plays a vital role in big data analytics. Machine learning and data mining algorithms cannot work without data. Little;

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