Free file sharing software:Freenet, LimeWire, Shareaza, Soulseek, GiFT, Virtuoso Universal Server, EMule, WASTE, DC++, Gtk-gnutella, Phex, GnucDNA, Ares Galaxy, Tribler, MLDonkey, AMule, Xtreme Mod, FrostWire, GNUnet, QBittorrent, OurTunes, Marabunta, IFolder
Programming for Software Sharing:
Knowledge Sharing in Software Development:Comparing XP and Waterfall Methods Jan Chong
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 identify critical questions of contemporary software engineering related to data and models. Learn how to adapt data from other organizations to local problems, mine privatized data, prune spurious information, simplify complex results, how to update models for new platforms, and more. Chapters share largely applicable experimental results discussed with the blend of practitioner focused domain expertise, with commentary that highlights the methods that are most useful, and applicable to the widest range of projects. Each chapter is written by a prominent expert and offers a state-of-the-art solution to an identified problem facing data scientists in software engineering. Throughout, the editors share best practices collected from their experience training software engineering students and practitioners to master data science, and highlight the methods that are most useful, and applicable to the widest range of projects. Shares the specific experience of leading researchers and techniques developed to handle data problems in the realm of software engineering Explains how to start a project of data science for software engineering as well as how to identify and avoid likely pitfalls Provides a wide range of useful qualitative and quantitative principles ranging from very simple to cutting edge research Addresses current challenges with software engineering data such as lack of local data, access issues due to data privacy, increasing data quality via cleaning of spurious chunks in data Tim Menzies is a professor in computer science (WVU) and a former software research chair at NASA. He has published 200+ refereed articles, many in the area on data mining and SE. His research includes artificial intelligence, data mining and search-based software engineering. He is best known for his work on the PROMISE open source repository of data for reusable software engineering experiments.
Environmental Software Systems. Fostering Information Sharing:10th IFIP WG 5. 11 International Symposium, ISESS 2013, Neusiedl am See, Austria, October 9-11, 2013, Proceedings IFIP Advances in Information and Communication Technology. 2013. Auflage
Environmental Software Systems. Fostering Information Sharing:10th IFIP WG 5. 11 International Symposium, ISESS 2013, Neusiedl am See, Austria, October 9-11, 2013, Proceedings IFIP Advances in Information and Communication Technology. Softcover reprint of the original 1st ed. 2013.
Environmental Software Systems. Fostering Information Sharing10th Ifip WG 5.11 International Symposium, Isess 2013, Neusiedl am See, Austria, October 9-11, 2013, ProceedingsBuchvon Gerald SchimakEAN: 9783642411502Einband: GebundenBeilage: BookAuflage: 201
The Autodesk-endorsed guide to real-world Revit Architecture mastery Mastering Autodesk Revit Architecture 2016 provides focused discussions, detailed exercises, and compelling, real-world examples to help you get the most out of the Revit Architecture 2016 software. Information is organized to reflect the way you learn and implement Revit, featuring real-world workflows, in-depth explanations, and practical tutorials that help you understand Revit and BIM concepts so you can quickly start accomplishing vital tasks. The thorough coverage makes this book an ideal study guide for those preparing for Autodesks certification exam. The companion website features before-and-after tutorials, additional advanced content, and video on crucial techniques to help you quickly master important tasks. This comprehensive guide walks you through the software to help you begin designing quickly. Understand basic BIM concepts and the Revit interface Explore templates, work-sharing, and project management workflows Learn modeling, massing, and visualization techniques for other industries Work with complex structures, annotation, detailing, and much more To master what is quickly becoming an essential industry tool, Mastering Revit Architecture 2016 is your ultimate practical companion.