Inventing Software

Since the introduction of personal computers, software has emerged as a driving force in the global economy and a major industry in its own right. During this time, the U.S. government has reversed its prior policy against software patents and is now issuing thousands of such patents each year, provoking heated controversy among programmers, lawyers, scholars, and software companies. This book is the first to step outside of the highly-polarized debate and examine the current state of the law, its suitability to the realities of software development, and its implications for day-to-day software development. Written by a former lawyer and working software developer, Inventing Software provides a comprehensive overview of software patents, from the lofty perspectives of legal history and computing theory to the technical details and issues of actual patents. People interested in the legal aspect of software patents will find detailed technical analysis of actual patented software, the legal strategies behind the wording of the patents, and an analysis of the ease or difficulty of detecting infringements. Software developers will find ways to integrate patent planning into their standard software engineering practices, and a practical guide for studying and appraising their competitors' patents and safeguarding the value of their own. Intended primarily for programmers and software industry executives and managers, Inventing Software will also be useful, illuminating reading for attorneys and software company investors.

Many claims are made about how certain tools, technologies, and practices improve software development. But which claims are verifiable, and which are merely wishful thinking? In this book, leading thinkers such as Steve McConnell, Barry Boehm, and Barbara Kitchenham offer essays that uncover the truth and unmask myths commonly held among the software development community. Their insights may surprise you. Are some programmers really ten times more productive than others? Does writing tests first help you develop better code faster? Can code metrics predict the number of bugs in a piece of software? Do design patterns actually make better software? What effect does personality have on pair programming? What matters more: how far apart people are geographically, or how far apart they are in the org chart? Contributors include: Jorge Aranda Tom Ball Victor R. Basili Andrew Begel Christian Bird Barry Boehm Marcelo Cataldo Steven Clarke Jason Cohen Robert DeLine Madeline Diep Hakan Erdogmus Michael Godfrey Mark Guzdial Jo E. Hannay Ahmed E. Hassan Israel Herraiz Kim Sebastian Herzig Cory Kapser Barbara Kitchenham Andrew Ko Lucas Layman Steve McConnell Tim Menzies Gail Murphy Nachi Nagappan Thomas J. Ostrand Dewayne Perry Marian Petre Lutz Prechelt Rahul Premraj Forrest Shull Beth Simon Diomidis Spinellis Neil Thomas Walter Tichy Burak Turhan Elaine J. Weyuker Michele A. Whitecraft Laurie Williams Wendy M. Williams Andreas Zeller Thomas Zimmermann

This book combines the three dimensions of technology, society and economy to explore the advent of today’s cloud ecosystems as successors to older service ecosystems based on networks. Further, it describes the shifting of services to the cloud as a long-term trend that is still progressing rapidly.The book adopts a comprehensive perspective on the key success factors for the technology – compelling business models and ecosystems including private, public and national organizations. The authors explore the evolution of service ecosystems, describe the similarities and differences, and analyze the way they have created and changed industries. Lastly, based on the current status of cloud computing and related technologies like virtualization, the internet of things, fog computing, big data and analytics, cognitive computing and blockchain, the authors provide a revealing outlook on the possibilities of future technologies, the future of the internet, and the potential impacts on business and society.

A guide to inventing that explains how people can develop an idea into an invention, build a prototype, safeguard intellectual property, market strategically, field investors, and successfully navigate each step of the inventing process.

Millions of computer users regularly bind themselves to software license terms with the click of a mouse, usually without reading anything but the word "agree." Licenses for software as diverse as Microsoft Windows and Linux, and terms of use for websites such as Facebook, are all subject not only to intellectual property and commercial law, but also to the private law of the license, which comes in many forms, each with its advocates. Microsoft, for example, maintains that its proprietary model gives users the rights they need while creating the incentives that have made the United States the global software leader, while Richard Stallman - creator of the GNU General Public License and author of a number of free software programs - asserts that proprietary licensing enables software companies to "hoard" software they should be sharing. In The Software License Unveiled, Douglas Phillips looks at both of these extremes and questions how these proliferating but largely unread license terms affect access to software, one of the economy's most valuable resources. While highlighting the obvious divergences, he makes the more illuminating case that most current models - spanning the spectrum from proprietary to free - have one key feature in common: to an increasing extent, each license model extends, modifies, or displaces public law that would otherwise apply. Unlike books that advocate one form of licensing or another, this one reframes the debate to propose that going forward a key challenge for lawyers, scholars, policymakers, and the public is to consider whether "legislation by license" should be the means for controlling software access.

This burgeoning interdisciplinary interest in “intellectual property” has also expanded beyond the conventional categories of patent, copyright, and trademark to encompass a diverse array of topics ranging from traditional knowledge to international trade.

Most people have experienced--at least once in their lives--the incomparable thrill of being part of a great team effort. They can remember the unity of purpose they experienced, the powerful passion that inspired them, and the incredible results they achieved. People who have been on a great team can attest that the difference between being on a team with a shared vision and being on a team without one is the difference between joy and misery. In 1996, Jim and Michele McCarthy, after successful careers leading software development teams at Microsoft and elsewhere, set out to discover a set of repeatable group behaviors that would always lead to the formation of a state of shared vision for any team. They hoped for a practical, communicable, and reliable process that could be used to create the best possible teams every time it was applied. They established a hands-on laboratory for the study and teaching of high-performance teamwork. In a controlled simulation environment, their principle research and teaching effort--the McCarthy Software Development BootCamp--challenged dozens of real-world, high-tech teams to produce and deliver a product. Teams were given a product development assignment, and instructed to form a team, envision the product, agree on how to make it, then design, build, and ship it on time. By repeating these simulations time after time, with the new teams building on the learning from previous teams, core practices emerged that were repeatedly successful. These were encoded as patterns and protocols. Software for Your Head is the first publication of the most significant results of the authors' unprecedented five-year investigation into the dynamics of contemporary teams. The information in this book will provide a means for any team to create for itself a compelling state of shared vision. 0201604566B09042001

The Genie in the Machine examines how computers are being used to automate the process of inventing, and explains the steps that high-tech companies, patent lawyers, inventors, and consumers should take to thrive in the upcoming Artificial Invention Age.