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 projects to produce results that are useful and relevant. Starting with a background section of practical lessons and warnings for beginner data scientists for software engineering, this edited volume proceeds to

This book presents contemporary empirical methods in software engineering related to the plurality of research methodologies, human factors, data collection and processing, aggregation and synthesis of evidence, and impact of software engineering research. The individual chapters discuss methods that impact the current evolution of empirical software engineering and form the

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This book provides practical suggestions, guidelines and rules for meeting the increasingly important requirement of developing software by the collaboration of independent organizations, partly independent organizations and teleworkers. A key theme is the controlled sharing of project information, which may be geographically distributed across diverse networks and computing environments. KEY

This text on the technology of object-oriented languages and systems covers such topics as: software development models; language design and implementation; concurrent objects; object-oriented applications; distributed objects and agents; and software development tools and environments."

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Books about Building the Scientific Modeling Assistant: An Interactive Environment for Specialized Software Design

These proceedings, from the third in a series of workshops organized in conjunction with the IEEE Tools with Artificial Intelligence Conference in November 1999, incorporate 17 selected papers, two invited talks, and a panel discussion on the convergence of technologies on the Web. The papers, prese

Annotation The 55 papers cover testing, requirements modelling, concurrency, object-oriented development, software process, distributed systems, development environments, formal methods, quality assurance and reliability, reuse, specification, maintenance, information systems, and reasoning and verification. The keynote addresses discuss software systems engineering from domain analysis via requirements capture to software architectures; and communication,