16 Best Web Development & Web Design Blogs
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Uila Supported Apps
Uila Supported Applications and Protocols updated Oct 2020 Application/Protocol Name Full Description 01net.com 01net website, a French high-tech news site. 050 plus is a Japanese embedded smartphone application dedicated to 050 plus audio-conferencing. 0zz0.com 0zz0 is an online solution to store, send and share files 10050.net China Railcom group web portal. This protocol plug-in classifies the http traffic to the host 10086.cn. It also 10086.cn classifies the ssl traffic to the Common Name 10086.cn. 104.com Web site dedicated to job research. 1111.com.tw Website dedicated to job research in Taiwan. 114la.com Chinese web portal operated by YLMF Computer Technology Co. Chinese cloud storing system of the 115 website. It is operated by YLMF 115.com Computer Technology Co. 118114.cn Chinese booking and reservation portal. 11st.co.kr Korean shopping website 11st. It is operated by SK Planet Co. 1337x.org Bittorrent tracker search engine 139mail 139mail is a chinese webmail powered by China Mobile. 15min.lt Lithuanian news portal Chinese web portal 163. It is operated by NetEase, a company which 163.com pioneered the development of Internet in China. 17173.com Website distributing Chinese games. 17u.com Chinese online travel booking website. 20 minutes is a free, daily newspaper available in France, Spain and 20minutes Switzerland. This plugin classifies websites. 24h.com.vn Vietnamese news portal 24ora.com Aruban news portal 24sata.hr Croatian news portal 24SevenOffice 24SevenOffice is a web-based Enterprise resource planning (ERP) systems. 24ur.com Slovenian news portal 2ch.net Japanese adult videos web site 2Shared 2shared is an online space for sharing and storage. -
I RETRIEVING CURATED STACK OVERFLOW POSTS of SIMILAR
RETRIEVING CURATED STACK OVERFLOW POSTS OF SIMILAR PROJECT TASKS Gláucia Melo dos Santos Dissertação de Mestrado apresentada ao Programa de Pós-graduação em Engenharia de Sistemas e Computação, COPPE, da Universidade Federal do Rio de Janeiro, como parte dos requisitos necessários à obtenção do título de Mestre em Engenharia de Sistemas e Computação. Orientador: Toacy Cavalcante de Oliveira Rio de Janeiro Dezembro de 2018 i RETRIEVING CURATED STACK OVERFLOW POSTS OF SIMILAR PROJECT TASKS Gláucia Melo dos Santos DISSERTAÇÃO SUBMETIDA AO CORPO DOCENTE DO INSTITUTO ALBERTO LUIZ COIMBRA DE PÓS-GRADUAÇÃO E PESQUISA DE ENGENHARIA (COPPE) DA UNIVERSIDADE FEDERAL DO RIO DE JANEIRO COMO PARTE DOS REQUISITOS NECESSÁRIOS PARA A OBTENÇÃO DO GRAU DE MESTRE EM CIÊNCIAS EM ENGENHARIA DE SISTEMAS E COMPUTAÇÃO. Examinada por: _____________________________________________ Prof. Toacy Cavalcante de Oliveira, D.Sc. _____________________________________________ Prof. Cláudia Maria Lima Werner, D.Sc. _____________________________________________ Prof. Eber Assis Schmitz, PhD. RIO DE JANEIRO, RJ - BRASIL DEZEMBRO DE 2018 ii Santos, Gláucia Melo dos Retrieving curated Stack Overflow Posts of similar project tasks / Gláucia Melo dos Santos – Rio de Janeiro: UFRJ/COPPE, 2018. XI,118 p.:il.; 29,7cm. Orientador: Toacy Cavalcante de Oliveira Dissertação (mestrado) – UFRJ/COPPE/Programa de Engenharia de Sistemas e Computação, 2018. Referências Bibliográficas: p.92-99 1. Software Engineering. 2. Curated Stack Overflow Posts. 3. Project Task Context Similarity. I. Oliveira, Toacy Cavalcante de. II. Universidade Federal do Rio de Janeiro, COPPE, Programa de Engenharia de Sistemas e Computação. III. Título. iii Agradecimentos A única maneira de começar é agradecendo a Deus. Sou imensamente grata. Agradeço aos meus pais Fátima e Cristóvão, minha irmã Gisele, minha madrinha Lila e prima Thaisa pelo apoio ILIMITADO enquanto estive buscando o título de mestre e nas tantas outras fases. -
Corrective Or Critical? Commenting on Bad Questions in Q&A
Corrective or Critical? Commenting on Bad Questions in Q&A Andrew W. Vargo1, Shigeo Matsubara1 1Kyoto University Abstract What kind of comments do Q&A community members prefer on bad questions? We studied this question on Stack Overflow, a large-scale community-run question-answer site with strong reputation and privilege systems and clear guidelines on commenting. Peer-production systems often employ feedback dialogue to engage with producers of low quality content. However, dialogue is only beneficial if it is constructive, as previous work has shown the adverse effects of negative feedback on quality and production. Previous studies indicate that feedback is likely critical, but the extent, orientation, and actors within this assumption are unknown. In this paper, we contribute a basic taxonomy of commenting and perform analysis on user types and community preferences. Results indicate that the most popular and frequent comments include criticism, and that different user types leave similar feedback. A better understanding of community feedback norms can inform the design of effective rules and incentives for peer-production systems. Keywords: Q&A; online community; community feedback systems; qualitative methods doi: 10.9776/16199 Copyright: Copyright is held by the authors. Acknowledgements: The authors would like to thank Naomi Yamashita and Ari Hautasaari at NTT Communication Science Laboratories for their encouragement and invaluable feedback on this manuscript. This research was partially supported by a Grant- in-Aid for Scientific Research (S) (24220002, 2012-2016) from Japan Society for the Promotion of Science (JSPS). Contact: [email protected] 1 Introduction The introduction of domain specific corpus-building question-answering (Q&A) has enabled professionals, experts, and students of many different subjects to solve problems and tasks of varying difficulties with great speed and effectiveness (Anderson, Huttenlocher, Kleinberg, & Leskovec, 2012; Mamykina, Manoim, Mittal, Hripcsak, & Hartmann, 2011). -
Mathematics 2020
Mathematics 2020 press.princeton.edu CONTENTS New & Forthcoming 1 Textbooks & Reference 8 Princeton Series in Applied Mathematics 11 Annals of Mathematics Studies 12 Of Related Interest 15 New in Paperback 16 Selections from the Backlist 20 NEW & FORTHCOMING “Paul Nahin masterfully moves back and forth between the mathematical advances involved in the develop- ment and usage of Fourier analysis and the historical events and characters associated with the field.” —Oscar Fernandez, author of Calculus Simplified Hot Molecules, Cold Electrons Heat, like gravity, shapes nearly every aspect of our world and universe, from how milk dissolves in coffee to how molten planets cool. The heat equation, a cornerstone of modern physics, demystifies such pro- cesses, painting a mathematical picture of the way heat diffuses through matter. Presenting the mathematics and history behind the heat equation, Hot Molecules, Cold Electrons tells the remarkable story of how a foundational idea brought about one of the greatest technological advancements of the modern era. PAUL J. NAHIN is the author of many popular math books, including How to Fall Slower Than Gravity, Dr. Euler’s Fabulous Formula, and An Imaginary Tale. He is professor emeritus of electrical engineering at the March 2020. 232 pages. 37 b/w illus. Hardback 9780691191720 $24.95 | £22.00 University of New Hampshire and received the 2017 E-book 9780691199948 Chandler Davis Prize for Excellence in Expository Writing in Mathematics. “This is a moment when artists are not only being inspired by scientific discoveries but are also projecting where those discoveries are taking us. Lynn Gamwell has intercepted that moment and shown that art and science go hand in hand. -
An Analysis of Reputation: Currency of the Stack Exchange Network
An Analysis of Reputation: Currency of the Stack Exchange Network Apoorva Dornadula Megha Jhunjhunwala Bryce Tham [email protected] [email protected] [email protected] 1. Abstract discuss how reputation affects user behavior. These papers present prior ideas for modeling The advent of online discussion forums reputation using network properties and how has given rise to a new kind of these results might be evaluated using existing collaboration-based network known as social activity-based reputation systems currently employed by SQA networks. question-and-answer (SQA) networks. In a typical SQA network, users post questions and seek responses from other users, after which the 2.1. A Model of Collaboration-Based Reputation for the Social Web community votes on which of the responses adequately answers the provided question. This results in a voting-based system by which user This paper by McNally et al.[1] offers one answers are ranked, which contributes to the way to model user-to-user interactions in SQA status of the user. However, such a system is networks. In this study, a user-to-user activity-based, which means computing the collaboration network was created to represent reputation of users is impossible on large user responses to user questions, and weights networks without an established reputation were added to each question-answer pair system. Or is it? This report analyzes various corresponding to the proportion of votes received. features of a subset of SQA sites on the Stack Various models were used to evaluate the Exchange network and determines multiple reputation of each user including PageRank and different metrics to evaluate user status. -
Are Comments on Stack Overflow Well Organized for Easy Retrieval by Developers?
— Are comments on Stack Overflow well organized for easy retrieval by developers? HAOXIANG ZHANG, Software Analysis and Intelligence Lab (SAIL), Queen’s University, Canada SHAOWEI WANG, Department of Computer Science, University of Manitoba, Canada TSE-HSUN (PETER) CHEN, Software PErformance, Analysis, and Reliability (SPEAR) Lab, Concordia University, Canada AHMED E. HASSAN, Software Analysis and Intelligence Lab (SAIL), Queen’s University, Canada Many Stack Overflow answers have associated informative comments that can strengthen them andassist developers. A prior study found that comments can provide additional information to point out issues in their associated answer, such as the obsolescence of an answer. By showing more informative comments (e.g., the ones with higher scores) and hiding less informative ones, developers can more effectively retrieve information from the comments that are associated with an answer. Currently, Stack Overflow prioritizes the display of comments and as a result, 4.4 million comments (possibly including informative comments) are hidden by default from developers. In this study, we investigate whether this mechanism effectively organizes informative comments. We find that: 1) The current comment organization mechanism does not work welldue to the large amount of tie-scored comments (e.g., 87% of the comments have 0-score). 2) In 97.3% of answers with hidden comments, at least one comment that is possibly informative is hidden while another comment with the same score is shown (i.e., unfairly hidden comments). The longest unfairly hidden comment is more likely to be informative than the shortest one. Our findings highlight that Stack Overflow should consider adjusting the comment organization mechanism to help developers effectively retrieve informative comments. -
I Wanted Was My Data
Developers Developers Developers Developers Developers Developers Developers Developers Developers Developers Developers Developers Developers Developers Developers Developers Developers Developers Developers Developers Developers Developers Print copy available for order. Details at http://devshaped.com/book. Created by Derek Hatchard and Dirk Primbs Edited by Derek Hatchard Comics by Sean Forney Version . Copyright 009 Microsoft Corporation Released under Creative Commons Attribution-Noncommercial-No Derivative Works .0 Contents Preface ����������������������������������������������������������������������������������������������������������������������� 7 Feature Articles 11 Working with Brownfield Code �������������������������������������������������������������������������� Beyond C# and VB ������������������������������������������������������������������������������������������������ 9 Remaining Valuable to Employers ��������������������������������������������������������������������� All I Wanted Was My Data ���������������������������������������������������������������������������������� 9 MAX(output) 41 Efficiency Upgrade ������������������������������������������������������������������������������������������������ Getting Started with Continuous Integration ��������������������������������������������������� 9 On Strike at the Software Factory ����������������������������������������������������������������������� 6 C# Features You Should Be Using ���������������������������������������������������������������������� -
A Study of Question Effectiveness Using Reddit ``Ask Me Anything
A Study of Question Effectiveness Using Reddit “Ask Me Anything” Threads Kristjan Arumae, Guo-Jun Qi, Fei Liu University of Central Florida, 4000 Central Florida Blvd., Orlando, Florida 32816 [email protected], [email protected], [email protected] Abstract IAMA Holocaust survivor who immigrated to the US in 1951 Asking effective questions is a powerful social skill. In this with my husband and twin daughters. AMA. paper we seek to build computational models that learn to I am sitting with my 89-year-old grandmother who is always discriminate effective questions from ineffective ones. Armed looking for a new audience. she has a spectacularly clear memory with such a capability, future advanced systems can evalu- and important stories to tell. Here is her brief self-introduction: I ate the quality of questions and provide suggestions for ef- was born in Tluste, Poland (which is now the Ukraine) in 1923... fective question wording. We create a large-scale, real-world Do you think it takes a horrible experience to not take dataset that contains over 400,000 questions collected from Q1 Reddit “Ask Me Anything” threads. Each thread resembles an life for granted? (No Answer) How has your experience changed your view of the world online press conference where questions compete with each Q2 other for attention from the host. This dataset enables the de- compared to the younger generations? (No Answer) velopment of a class of computational models for predicting How does she feel about the situation in Greece now? Q3 whether a question will be answered. -
Finding a Growth Business Model at Stackoverflow-Final2
S TANFORD U NIVERSITY 2 0 1 0 - 2 0 4 - 1 S CHOOL OF E NGINEERING C ASEP UBLISHER Rev. July 20, 2010 CITE AS: M. Sewak et al. “Finding a Growth Business Model at Stack Overflow, Inc.” Stanford CasePublisher 204-2010-1. 18 May 2010. FINDING A GROWTH BUSINESS MODEL AT STACK OVERFLOW, INC. T ABLE OF C ONTENTS Introduction 1. The Founders 1.1. Joel Spolsky 1.2. Jeff Atwood 2. History of Online Q&A Sites 3. History of Stack Overflow 3.1. Metrics 3.2. Market Reaction 4. Revenue Models 5. Overall Market 6. User Growth Models for Stack Overflow 6.1. Hosted Whitelabel 6.2. Network of Experts 6.3. Monolithic Site 7. Recent Financing Activity 8. The Future 9. Discussion Questions 10. Exhibits 11. References Professors Micah Siegel (Stanford University) and Fred Gibbons (Stanford University) guided the de- velopment of this case using the CasePublisher service as the basis for class discussion rather than to il- lustrate either effective or ineffective handling of a business situation. S TANFORD 204-2010-01 Finding Business Model at Stack Overflow Introduction ! Joel Spolsky and Je" Atwood had launched Stack Overflow less than two years ago, and it had already crossed the 175,000 mark in terms of registered users. The creation of an open platform where programming questions were promptly answered was an achievement in itself. However, Spolsky and Atwood faced their next challenge: coming up with a revenue model to monetize the popularity of Stack Overflow. Led by their frustration with other programming related Q&A websites, Spolsky and At- wood had started Stack Overflow to enable users to find answers to programming questions. -
“What Makes a Software Developer a Great Business Developer?” // F E a T U R E S // Oct-Nov ‘16
| V1.3 | OCT-NOV 2016 Some ambitions are bigger than applications. We asked successful devs turned founders: “What makes a software developer a great business developer?” // F e a t u r e s // Oct-Nov ‘16 build Better; name Jeff.Atwood { developer class GrandMaster { career Options? _noLimit; career Path? _relativeToDrive; career TimeSpan? _noExpiration; { get { return _careerInsights; } set { if (value = iconStatus) { throw new IdeasSolutionsCareerPathsEtc.( nameof(IdeasSolutionsNow), value, “The value is self evident.”); } _stackOverflowStackExchange = w00t!; } } /// < summary> /// Jeff talks about his path to success from /// A pre-internet desk job to helping devs /// Build code and communities thru /// Two preeminent “Stack” businesses /// Now he’s helping devs interact with humans! /// </summary> page Detected { get_pageSeventeen; // F e a t u r e s // Oct-Nov 2016‘16 The Code that Rocks the Cradle This coding mom turned an over-stuffed garage into big business. When Your Backup Plan Becomes 3 Skills Devs Need NOW that Your Biggest Success They Didn’t 5 Years Ago Developer turned author, turned founder Gone are the days of picking a task off shows us there’s one simple key to a whiteboard and going into a hole for success—whether you’re building software, three days. Here are the skills you need writing a book or steering a company,. NOW to be successful. Publisher: Matt Watson, Stackify Editor in Chief & Creative Director: Max Hobbs Managing Editor: Jayme Thomason Technology Editor: Taylor Ford Business & Sales Editor: Michelle Harris Art Director: Kevin McCoy Production Manager: Jennilee Tangpuz Marketing & Promotional Partner: Brink Insights Key Takeaways from this Issue: There’s a point where you know you’ve accomplished the For the Oct/Nov issue of BuildBetter Magazine, we conducted goal. -
Scoring Answers in Stack Overflow by Raul Quintana
Predictive Model: Using Text Mining for Determining Factors Leading to High- Scoring Answers in Stack Overflow by Raul Quintana Selleras B.S. in Information Technology, August 2012, Florida International University B.A. in Religious Studies, December 2012, Florida International University M.S. in Information Systems, May 2015, The University of Texas at Arlington A Praxis submitted to The Faculty of The School of Engineering and Applied Science of The George Washington University in partial fulfillment of the requirements for the degree of Doctor of Engineering January 10, 2020 Praxis directed by Timothy Blackburn Professorial Lecturer of Engineering Management and Systems Engineering Amir Etemadi Associate Professor of Engineering and Applied Science The School of Engineering and Applied Science of The George Washington University certifies that Raul Quintana Selleras has passed the Final Examination for the degree of Doctor of Engineering as of October 15, 2019. This is the final and approved form of the Praxis. Predictive Model: Using Text Mining for Determining Factors Leading to High- Scoring Answers in Stack Overflow Raul Quintana Selleras Praxis Research Committee: Timothy Blackburn, Professorial Lecturer of Engineering Management and Systems Engineering, Praxis Co-Director Amir Etemadi, Associate Professor of Engineering and Applied Science, Praxis Co-Director Ebrahim Malalla, Visiting Associate Professor of Engineering and Applied Science, Committee Member ii © Copyright 2019 by Raul Quintana Selleras All rights reserved iii Dedication The author wishes to dedicate this dissertation to his daughter, Alexia Quintana and to his wife, Kristina Quintana for their unconditional support. Also, the author would like to thank his parents, Raul Quintana Sarduy and Gilda Selleras Rivas, whose encouragement was vital to his educational accomplishments. -
Data Structures
Data structures PDF generated using the open source mwlib toolkit. See http://code.pediapress.com/ for more information. PDF generated at: Thu, 17 Nov 2011 20:55:22 UTC Contents Articles Introduction 1 Data structure 1 Linked data structure 3 Succinct data structure 5 Implicit data structure 7 Compressed data structure 8 Search data structure 9 Persistent data structure 11 Concurrent data structure 15 Abstract data types 18 Abstract data type 18 List 26 Stack 29 Queue 57 Deque 60 Priority queue 63 Map 67 Bidirectional map 70 Multimap 71 Set 72 Tree 76 Arrays 79 Array data structure 79 Row-major order 84 Dope vector 86 Iliffe vector 87 Dynamic array 88 Hashed array tree 91 Gap buffer 92 Circular buffer 94 Sparse array 109 Bit array 110 Bitboard 115 Parallel array 119 Lookup table 121 Lists 127 Linked list 127 XOR linked list 143 Unrolled linked list 145 VList 147 Skip list 149 Self-organizing list 154 Binary trees 158 Binary tree 158 Binary search tree 166 Self-balancing binary search tree 176 Tree rotation 178 Weight-balanced tree 181 Threaded binary tree 182 AVL tree 188 Red-black tree 192 AA tree 207 Scapegoat tree 212 Splay tree 216 T-tree 230 Rope 233 Top Trees 238 Tango Trees 242 van Emde Boas tree 264 Cartesian tree 268 Treap 273 B-trees 276 B-tree 276 B+ tree 287 Dancing tree 291 2-3 tree 292 2-3-4 tree 293 Queaps 295 Fusion tree 299 Bx-tree 299 Heaps 303 Heap 303 Binary heap 305 Binomial heap 311 Fibonacci heap 316 2-3 heap 321 Pairing heap 321 Beap 324 Leftist tree 325 Skew heap 328 Soft heap 331 d-ary heap 333 Tries 335 Trie