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Author: Ben Shneiderman Publisher: ISBN: Category : Computers Languages : en Pages : 344
Book Description
Motivation for a psychological approach; Research methods; Programming as human performance; Programming style; Software quality evaluation; Team organizations and group processes; Database systems and data models; Database query and manipulation languages; Natural language; Interactive interface issues; Designing interactive systems.
Author: Ben Shneiderman Publisher: ISBN: Category : Computers Languages : en Pages : 344
Book Description
Motivation for a psychological approach; Research methods; Programming as human performance; Programming style; Software quality evaluation; Team organizations and group processes; Database systems and data models; Database query and manipulation languages; Natural language; Interactive interface issues; Designing interactive systems.
Author: Robert Anton Wilson Publisher: New Falcon Publications ISBN: 9781561840717 Category : Body, Mind & Spirit Languages : en Pages : 210
Book Description
Throughout human history, thoughts, values and behaviours have been coloured by language and the prevailing view of the universe. With the advent of Quantum Mechanics, relativity, non-Euclidean geometries, non-Aristotelian logic and General Semantics, the scientific view of the world has changed dramatically from just a few decades ago. Nonetheless, human thinking is still deeply rooted in the cosmology of the middle ages. This is the book to change your way of perceiving yourself -- and the universe. Some say it's materialistic, others call it scientific and still others insist it's mystical. It is all of these -- and none. The book for the 21st Century, complete with exercises. Picks up where "Prometheus Rising" left off. Some say it's materialistic, others call it scientific and still others insist it's mystical. It is all of these -- and none.
Author: Gerald M. Weinberg Publisher: Dorset House Publishing Company, Incorporated ISBN: Category : Computers Languages : en Pages : 364
Book Description
Discover or Revisit One of the Most Popular Books in Computing This landmark 1971 classic is reprinted with a new preface, chapter-by-chapter commentary, and straight-from-the-heart observations on topics that affect the professional life of programmers. Long regarded as one of the first books to pioneer a people-oriented approach to computing, The Psychology of Computer Programming endures as a penetrating analysis of the intelligence, skill, teamwork, and problem-solving power of the computer programmer. Finding the chapters strikingly relevant to today's issues in programming, Gerald M. Weinberg adds new insights and highlights the similarities and differences between now and then. Using a conversational style that invites the reader to join him, Weinberg reunites with some of his most insightful writings on the human side of software engineering. Topics include egoless programming, intelligence, psychological measurement, personality factors, motivation, training, social problems on large projects, problem-solving ability, programming language design, team formation, the programming environment, and much more. Dorset House Publishing is proud to make this important text available to new generations of programmers--and to encourage readers of the first edition to return to its valuable lessons.
Author: Francoise Detienne Publisher: Springer Science & Business Media ISBN: 1447101111 Category : Computers Languages : en Pages : 145
Book Description
Covering a variety of areas including software analysis, design, coding and maintenance, this text details the research conducted since the 1970s in this fast-developing field before going on to define a computer program from the viewpoint of computing and cognitive psychology. The two essential sides of programming, software production and software understanding, are given detailed treatment, with parallels drawn throughout between studies on processing texts written in natural language and processing computer programs. Of particular interest to researchers, practitioners and graduates in cognitive psychology, cognitive ergonomics and computer science.
Author: Steven C. Seow Ph.D. Publisher: Addison-Wesley Professional ISBN: 0132702517 Category : Computers Languages : en Pages : 227
Book Description
Build Applications, Websites, and Software Solutions that Feel Faster, More Efficient, and More Considerate of Users’ Time! One hidden factor powerfully influences the way users react to your software, hardware, User Interfaces (UI), or web applications: how those systems utilize users’ time. Now, drawing on the nearly 40 years of human computer interaction research–including his own pioneering work–Dr. Steven Seow presents state-of-the-art best practices for reflecting users’ subjective perceptions of time in your applications and hardware. Seow begins by introducing a simple model that explains how users perceive and expend time as they interact with technology. He offers specific guidance and recommendations related to several key aspects of time and timing–including user tolerance, system responsiveness, progress indicators, completion time estimates, and more. Finally, he brings together proven techniques for impacting users’ perception of time drawn from multiple disciplines and industries, ranging from psychology to retail, animal research to entertainment. • Discover how time and timing powerfully impact user perception, emotions, and behavior • Systematically make your applications more considerate of users’ time • Avoid common mistakes that consistently frustrate or infuriate users • Manage user perceptions and tolerance, and build systems that are perceived as faster • Optimize “flow” to make users feel more productive, empowered, and creative • Make reasonable and informed tradeoffs that maximize limited development resources • Learn how to test usability issues related to time–including actual vs. perceived task duration Designing and Engineering Time is for every technology developer, designer, engineer, architect, usability specialist, manager, and marketer. Using its insights and techniques, technical and non-technical professionals can work together to build systems and applications that provide far more value–and create much happier users. Steven C. Seow has a unique combination of experience in both experimental psychology and software usability. He joined Microsoft as a User Researcher after completing his Ph.D. in Experimental Psychology at Brown University with a research focus on human timing and information theory models of human performance. Seow holds Bachelor’s and Master’s Degrees in Forensic Psychology from John Jay College of Criminal Justice, and wrote his master’s thesis on distortions in time perception. For more information about Steven Seow and his research, visit his website at www.StevenSeow.com. informit.com/aw
Author: James F. Brennan Publisher: Cambridge University Press ISBN: 1316834204 Category : Psychology Languages : en Pages : 469
Book Description
History and Systems of Psychology provides an engaging introduction to the rich story of psychology's past. Retaining the clarity and accessibility praised by readers of earlier editions, this classic textbook provides a chronological history of psychology from the pre-Socratic Greeks to contemporary systems, research, and applications. The new edition also features expanded coverage of Eastern as well as Western traditions, influential women in psychology, professional psychology in clinical, educational, and social settings, and new directions in twenty-first century psychology as a cognitive and a positive science. Assuming little prerequisite knowledge, the authors discuss the people, places, and concepts that have shaped psychology's story, and show that we remain fascinated by the same enduring questions that confronted our ancestors - namely, our wonder at our subjectivity and consciousness of self. The seventh edition is fully supported by robust pedagogical features, instructor resources, and a companion website to aid student learning.
Author: Adam Tornhill Publisher: Pragmatic Bookshelf ISBN: 1680505807 Category : Computers Languages : en Pages : 362
Book Description
Are you working on a codebase where cost overruns, death marches, and heroic fights with legacy code monsters are the norm? Battle these adversaries with novel ways to identify and prioritize technical debt, based on behavioral data from how developers work with code. And that's just for starters. Because good code involves social design, as well as technical design, you can find surprising dependencies between people and code to resolve coordination bottlenecks among teams. Best of all, the techniques build on behavioral data that you already have: your version-control system. Join the fight for better code! Use statistics and data science to uncover both problematic code and the behavioral patterns of the developers who build your software. This combination gives you insights you can't get from the code alone. Use these insights to prioritize refactoring needs, measure their effect, find implicit dependencies between different modules, and automatically create knowledge maps of your system based on actual code contributions. In a radical, much-needed change from common practice, guide organizational decisions with objective data by measuring how well your development teams align with the software architecture. Discover a comprehensive set of practical analysis techniques based on version-control data, where each point is illustrated with a case study from a real-world codebase. Because the techniques are language neutral, you can apply them to your own code no matter what programming language you use. Guide organizational decisions with objective data by measuring how well your development teams align with the software architecture. Apply research findings from social psychology to software development, ensuring you get the tools you need to coach your organization towards better code. If you're an experienced programmer, software architect, or technical manager, you'll get a new perspective that will change how you work with code. What You Need: You don't have to install anything to follow along in the book. TThe case studies in the book use well-known open source projects hosted on GitHub. You'll use CodeScene, a free software analysis tool for open source projects, for the case studies. We also discuss alternative tooling options where they exist.
Author: Adam Tornhill Publisher: Pragmatic Bookshelf ISBN: 1680505203 Category : Computers Languages : en Pages : 289
Book Description
Jack the Ripper and legacy codebases have more in common than you'd think. Inspired by forensic psychology methods, you'll learn strategies to predict the future of your codebase, assess refactoring direction, and understand how your team influences the design. With its unique blend of forensic psychology and code analysis, this book arms you with the strategies you need, no matter what programming language you use. Software is a living entity that's constantly changing. To understand software systems, we need to know where they came from and how they evolved. By mining commit data and analyzing the history of your code, you can start fixes ahead of time to eliminate broken designs, maintenance issues, and team productivity bottlenecks. In this book, you'll learn forensic psychology techniques to successfully maintain your software. You'll create a geographic profile from your commit data to find hotspots, and apply temporal coupling concepts to uncover hidden relationships between unrelated areas in your code. You'll also measure the effectiveness of your code improvements. You'll learn how to apply these techniques on projects both large and small. For small projects, you'll get new insights into your design and how well the code fits your ideas. For large projects, you'll identify the good and the fragile parts. Large-scale development is also a social activity, and the team's dynamics influence code quality. That's why this book shows you how to uncover social biases when analyzing the evolution of your system. You'll use commit messages as eyewitness accounts to what is really happening in your code. Finally, you'll put it all together by tracking organizational problems in the code and finding out how to fix them. Come join the hunt for better code! What You Need: You need Java 6 and Python 2.7 to run the accompanying analysis tools. You also need Git to follow along with the examples.
Author: Carola Lilienthal Publisher: dpunkt.verlag ISBN: 3960887817 Category : Computers Languages : en Pages : 381
Book Description
Today's programmers don't develop software systems from scratch. instead, they spend their time fixing, extending, modifying, and enhancing existing software. Legacy systems often turn into an unwieldy mess that becomes increasingly difficult to modify, and with architecture that continually accumulates technical debt. Carola Lilienthal has analyzed more than 300 software systems written in Java, C#, C++, PHP, ABAP, and TypeScript and, together with her teams, has successfully refactored them. This book condenses her experience with monolithic systems, architectural and design patterns, layered architectures, domain-driven design, and microservices. With more than 200 color images from real-world systems, good and sub-optimal sample solutions are presented in a comprehensible and thorough way, while recommendations and suggestions based on practical projects allow the reader to directly apply the author's knowledge to their daily work. "Throughout the book, Dr. Lilienthal has provided sound advice on diagnosing, understanding, disentangling, and ultimately preventing the issues that make software systems brittle and subject to breakage. In addition to the technical examples that you'd expect in a book on software architecture, she takes the time to dive into the behavioral and human aspects that impact sustainability and, in my experience, are inextricably linked to the health of a codebase. She also expertly zooms out, exploring architecture concepts such as domains and layers, and then zooms in to the class level where your typical developer works day-to-day. This holistic approach is crucial for implementing long-lasting change." From the Foreword of Andrea Goulet CEO, Corgibytes, Founder, Legacy Code Rocks
Author: Daniel Navarro Publisher: Lulu.com ISBN: 1326189727 Category : Computers Languages : en Pages : 617
Book Description
"Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com
Author: Ben Shneiderman
Author: Ben Shneiderman
Author: Robert Anton Wilson
Author: Gerald M. Weinberg
Author: Francoise Detienne
Author: Steven C. Seow Ph.D.
Author: James F. Brennan
Author: Adam Tornhill
Author: Adam Tornhill
Author: Carola Lilienthal
Author: Daniel Navarro