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Software Engineering for Science provides an in-depth collection of peer-reviewed chapters that describe experiences with applying software;
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Software Engineering for Science provides an in-depth collection of peer-reviewed chapters that describe experiences with applying software;
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Unified Software Engineering with Java is ideal for courses in introductory software engineering, Java programming, Java software;
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This book constitutes the refereed proceedings of the Software Engineering and Algorithms section of;...
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This book gathers the refereed proceedings of the Intelligent Algorithms in Software Engineering Sec;...
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encompasses the use of algorithms for storing, manipulating and communicating digital information. Computer science is a broad field that spans;
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Developing projects outside of a classroom setting can be intimidating for students and is not always a seamless process. Real-World;
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Appropriate for both undergraduate and graduate introductory software engineering courses found in Computer Science and Computer;
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Data Science for Software Engineering: Sharing Data and Models presents guidance and procedures for reusing data and models between;
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of the subsequent contributions, the remainder of the book is divided into four parts: Study Strategies (including e.g. guidelines for surveys or;
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languages Python and Java are additionally used for illustration. By doing this, the book collects and organizes scattered knowledge from software;
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languages Python and Java are additionally used for illustration. By doing this, the book collects and organizes scattered knowledge from software;
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This book fills the critical need for an in-depth technical reference providing the methods and techniques for building and maintaining;
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. 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, computer science and artificial intelligence are crucial topics for the research within an intelligent systems problem domain;
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Innovations and Advanced Techniques in Systems, Computing Sciences and Software Engineering includes;...
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in software development, and project management for software engineering; examines the areas of requirements engineering, software configuration;
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software engineering metrics and methods for processing business information. It explains how to use Pegasys to create and manage sequence analysis;
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engineering metrics and methods for processing business information. It explains how to use Pegasys to create and manage sequence analysis workflows.;
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, reliability assessment, software defect prediction, and more Highlights swarm intelligence-based optimization solutions for software testing;
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organized this quantitative experience into a book of great value to make software trustworthy for all of us. -Barry Boehm Trustworthy Systems;
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The branch of engineering, which is concerned with the development of computer hardware and software;...
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Engineering combines applied science, math, and technology for the purpose of designing a wide variety of items, including structures;
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Perspectives on Data Science for Software Engineering presents the best practices of seasoned data miners in software engineering. The;
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Topics related to the rise of software engineering and this field's distinctions from other similar ;...
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functions and features of the software and teaches how to apply these to create comprehensive calculations for any quantitative subject. The simple;
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Research and Evidence in Software Engineering: From Empirical Studies to Open Source Artifacts intro;...
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