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Perspectives on Data Science for Software Engineering

Perspectives on Data Science for Software Engineering presents the best practices of seasoned data miners in software engineering. The;

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C++ Plus Data Structures

Written as a second-semester text which focuses on abstract data types from three perspectives: specification, application, and;

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Sharing Data and Models in Software Engineering

Data Science for Software Engineering: Sharing Data and Models presents guidance and procedures for reusing data and models between;

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Perspectives on Software Documentation

communication, management, education and so on. Perspectives on Software Documentation contains a variety of perspectives, all tied together by the;

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Data Structure and Software Engineering

This title includes a number of Open Access chapters. Data structure and software engineering is an integral part of computer science;

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Data Structure and Software Engineering

This title includes a number of Open Access chapters. Data structure and software engineering is an integral part of computer science. This;

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Software Engineering for Science

techniques to scientific software, including not only computational modeling, but also software for data management and analysis. The authors;

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Software Engineering for Science

techniques to scientific software, including not only computational modeling, but also software for data management and analysis. The authors;

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New Perspectives in Software Engineering

This book contains a selection of papers from the 2021 International Conference on Software Process Improvement (CIMPS'21), held between;

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New Perspectives in Software Engineering

This book contains a selection of papers from the 2020 International Conference on Software Process Improvement (CIMPS 20), held between;

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Software Engineering Perspectives in Computer Game Development

development and software engineering. In addition, future research opportunities on new software engineering methods for games and serious educational;

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Contemporary Empirical Methods in Software Engineering

, data collection and processing, aggregation and synthesis of evidence, and impact of software engineering research. The individual chapters;

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Practical Data Science with Python 3

for data science and how to document data engineering practices. This book is a good starting point for people who want to gain practical;

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Practical Data Science with Python 3

software for data science and how to document data engineering practices. This book is a good starting point for people who want to gain practical;

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Mining Software Engineering Data for Software Reuse

through software reuse. Mining Software Engineering Data for Software Reuse can also prove handy for graduate-level students in software;

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Mining Software Engineering Data for Software Reuse

through software reuse. Mining Software Engineering Data for Software Reuse can also prove handy for graduate-level students in software;

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Software Engineering Perspectives in Intelligent Systems

. Software engineering, computer science and artificial intelligence are crucial topics for the research within an intelligent systems problem domain;

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Software Engineering Perspectives in Intelligent Systems

. Software engineering, computer science and artificial intelligence are crucial topics for the research within an intelligent systems problem domain;

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Computational Intelligence Techniques and Their Applications to Software Engineering Problems

Computational Intelligence Techniques and Their Applications to Software Engineering Problems focuses on computational intelligence;

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Design and Implementation of Combinatorial Testing based Test Suites for Operating Systems used for Internet of Things

This book is for Software Engineering enthusiasts. Regression testers, IoT OS testers and Combinatorial testers can get hint on how to;

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Computer Science and Engineering Theory and Applications

essential concepts, theories, and applications. It also shares perspectives on how cutting-edge and established methodologies and techniques can be;

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Proceedings of International Scientific Conference on Telecommunications Comput

This book provides a platform for academics and practitioners for sharing innovative results, approaches, developments, and research;

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Machine Learning and Artificial Intelligence for Agricultural Economics

focus on data integration, algorithm development, regression, prognostics model development and mathematical optimization. Upgrading;

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Big Data and Differential Privacy

appropriate for graduate courses on data analysis and data mining, transportation science, operations research, and infrastructure management. NII;

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Open Source Software Policy Options for NASA Earth and Space Sciences

regarding open source software to complement its existing policy on open data. In particular, the report reviews existing data and software policies;

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Big Data Governance and Perspectives in Knowledge Management

economic growth. Big Data Governance and Perspectives in Knowledge Management is a collection of innovative research on the methods and;

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Advances in Computing Systems and Applications

This proceedings book gathers selected papers presented at the 4th Conference on Computing Systems and Applications (CSA2020) held on;

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