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.

When one has worked on a series of projects as long as I have on those that make up this book, one incurs a tremendous debt that can never be appropriately acknowledged. Nevertheless, I would be remiss if I did not make note of at least the largest and most obvious of contributions made by others. The oldest part of the work is the Yugoslav case study, which began as my doctoral dissertation. I received funding from the International Research and Exchanges Board (IREX), which allowed me to spend an all-too-brief but productive five months in z&greb in 1982. During this time, I was greatly aided by the advice and criticism of Professor Vladimir Stipetic of the University of Zagreb. As I worked on the dissertation, John Pencavel and Evsey Domar taught me much about critical thinking and clear writing, as well as economics. To them I owe a special debt of gratitude for the often difficult task they undertook of simply keeping track of my whereabouts. In addition, the Yugoslav study benefited from the critical contributions of Paul David and members of the development and history seminars at Stanford and the comments of Tim Bates and two anonymous referees and the editor at the Review of Economics and Statistics, where the core material was first published as •The Performance of Private and Cooperative Socialist Organimtion: Postwar Yugoslav Agriculture; 69, 2 (May 1987): 205-214, copyright 1987 by Elsevier Science Publishers. I would like to thank Elsevier Science Publishers for kind permission to reprint portions of this article in chapter 3.

"Time management for the 21st century"--Jacket.

Survey and 5 case studies on the measurement of productivity in the federal public services of USA. Research methods.

Presents the proceedings of two workshops on productivity measurement and analysis, which brought together representatives of statistical offices, central banks and other officials involved with the analysis and measurement of productivity at aggregate and industry levels.

This publication offers well-developed articles on a variety of topics in management accounting that are relevant to both practitioners and academicians. As a respected professional journal, AIMA is well poised to meet their information needs. Featured in recent volumes are articles on the practice and research of management accounting in the 21st century, the creation of customer value and outside-in cost, the drivers of customer and corporate profitability, product costing for manufacturing and service industries, performance measurement, capital budgeting, brand valuation, target costing, kaizen costing, and executive compensation issues. Accountants at all levels who work in corporations and not-for-profit organizations would be interested in the AIMA articles.

Businesses are collecting massive amounts of data every day as a way to better understand their processes, competition, and the markets they serve. This data can be used to increase organizational productivity and performance; however, is essential that organizations collecting large data sets have the tools available to them to fully understand the data they are collecting. Organizational Productivity and Performance Measurements Using Predictive Modeling and Analytics takes a critical look at methods for enhancing an organization’s operations and day-to-day activities through the effective use of data. Focusing on a variety of applications of predictive analytics within organizations of all types, this critical publication is an essential resource for business managers, data scientists, graduate-level students, and researchers.