Get the most out of this foundational reference and improve the productivity of your software teams. This open access book collects the wisdom of the 2017 "Dagstuhl" seminar on productivity in software engineering, a meeting of community leaders, who came together with the goal of rethinking traditional definitions and measures of productivity. The results of their work, Rethinking Productivity in Software Engineering, includes chapters covering definitions and core concepts related to productivity, guidelines for measuring productivity in specific contexts, best practices and pitfalls, and theories and open questions on productivity. You'll benefit from the many short chapters, each offering a focused discussion on one aspect of productivity in software engineering. Readers in many fields and industries will benefit from their collected work. Developers wanting to improve their personal productivity, will learn effective strategies for overcoming common issues that interfere with progress. Organizations thinking about building internal programs for measuring productivity of programmers and teams will learn best practices from industry and researchers in measuring productivity. And researchers can leverage the conceptual frameworks and rich body of literature in the book to effectively pursue new research directions. What You'll LearnReview the definitions and dimensions of software productivity See how time management is having the opposite of the intended effect Develop valuable dashboards Understand the impact of sensors on productivity Avoid software development waste Work with human-centered methods to measure productivity Look at the intersection of neuroscience and productivity Manage interruptions and context-switching Who Book Is For Industry developers and those responsible for seminar-style courses that include a segment on software developer productivity. Chapters are written for a generalist audience, without excessive use of technical terminology.

Human Factors in the Nuclear Industry: A Systemic Approach to Safety presents the latest research and studies of human factors in the nuclear industry. It models and highlights scientific and technological foundations before providing practical examples of applications within the nuclear facility of human performance at an individual, group, organization, and system level. Editors Dr. Teperi and Dr. Gotcheva supply concrete models, tools and techniques based on research to provide the reader with knowledge of how to facilitate and support human performance in this dynamic and fast moving safety critical field. Models and case studies are provided to add practical benefits for the reader to apply to their own projects, including user friendly state-of-the-art equipment, fluent work processes for information flow, functional control room resource management, and scope for competence and learning in the work place. This book will benefit nuclear researchers, safety experts, human factors professionals and power plant operators, as well as those with an interest in human factors outside of the nuclear field. - Provides a comprehensive framework for human factors, considering not only the individual, but also the team, organizational and industrial levels - Presents tried and tested tools and techniques based on research from the nuclear industry - Includes models, examples and case studies of user-friendly equipment, fluent work processes and functional control room resource management

This two-volume set was developed to help researchers and practitioners select measures to be used in the evaluation of human/machine systems. It can also be used to supplement classes at both the undergraduate and graduate courses in ergonomics, experimental psychology, human factors, human performance, measurement, and system test and evaluation. Volume 1 of the handbook begins with an overview of the steps involved in developing a test to measure human performance, workload, and/or situational awareness. This is followed by a definition of human performance and a review of human performance measures. Situational Awareness is similarly treated in a subsequent chapter. Volume 2 presents a definition of workload and a review of workload measures. Provides a short engineering tutorial on experimental design Offers readily accessible information on human performance, workload, and situational awareness (SA) measures Presents general description of the measure Covers data collection, reduction, and analysis requirement Details out the strengths and limitations or restrictions of each measure, including any known proprietary rights or restrictions, as well as validity and reliability data

This book looks at how the physical environment of work shapes organizational behaviour, demonstrating that our physical surroundings at work can have a big influence on employee productivity, performance and wellbeing. Drawing upon the latest research, Organizational Behaviour and the Physical Environment provides comprehensive coverage of the different aspects of the physical environment at work – the buildings, furnishings, equipment, lighting, air quality and their configurations. From theories of psychological ownership and work design, to cultural issues and technology in the workplace, its international range of contributors provide voices from Australasia, North America, Europe and the Middle East. This book will be invaluable supplementary reading for advanced students, researchers and practitioners across the fields of organizational behaviour, HRM, organizational and environmental psychology, and workspace design.

This book was developed to help researchers and practitioners select measures to be used in the evaluation of human/machine systems. The book begins with an overview of the steps involved in developing a test to measure human performance. This is followed by a definition of human performance and a review of human performance measures. Another section defines situational awareness with reviews of situational awareness measures. For both the performance and situational awareness sections, each measure is described, along with its strengths and limitations, data requirements, threshold values, and sources of further information. To make this reference easier to use, extensive author and subject indices are provided. Features Provides a short engineering tutorial on experimental design Offers readily accessible information on human performance and situational awareness (SA) measures Presents general description of the measure Covers data collection, reduction, and analysis requirements Details the strengths and limitations or restrictions of each measure, including proprietary rights or restrictions