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An Empirical Study of Obsolete Answers on Stack Overflow
1 An Empirical Study of Obsolete Answers on Stack Overflow Haoxiang Zhang, Shaowei Wang, Tse-Hsun (Peter) Chen, Ying Zou, Senior Member, IEEE, and Ahmed E. Hassan, Fellow, IEEE Abstract—Stack Overflow accumulates an enormous amount of software engineering knowledge. However, as time passes, certain knowledge in answers may become obsolete. Such obsolete answers, if not identified or documented clearly, may mislead answer seekers and cause unexpected problems (e.g., using an out-dated security protocol). In this paper, we investigate how the knowledge in answers becomes obsolete and identify the characteristics of such obsolete answers. We find that: 1) More than half of the obsolete answers (58.4%) were probably already obsolete when they were first posted. 2) When an obsolete answer is observed, only a small proportion (20.5%) of such answers are ever updated. 3) Answers to questions in certain tags (e.g., node.js, ajax, android, and objective-c) are more likely to become obsolete. Our findings suggest that Stack Overflow should develop mechanisms to encourage the whole community to maintain answers (to avoid obsolete answers) and answer seekers are encouraged to carefully go through all information (e.g., comments) in answer threads. Index Terms—Q&A Website, Stack Overflow, Obsolete Knowledge, Knowledge Sharing. F 1 INTRODUCTION ECHNICAL Q&A websites are becoming an important to handle such a situation2. Additionally, a survey of 453 T and popular platform for knowledge sharing and learn- Stack Overflow users reports that outdated code on Stack ing. They have revolutionized how users seek knowledge Overflow is one of the most important issues that users on the Internet. -
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. -
Stack Overflow Question Retrieval System Vishi Cline Southern Methodist University, [email protected]
SMU Data Science Review Volume 1 | Number 2 Article 13 2018 Stack Overflow Question Retrieval System Vishi Cline Southern Methodist University, [email protected] Abhishek Dharwadkar Southern Methodist University, [email protected] Rajni Goyal Southern Methodist University, [email protected] Daniel Engels Southern Methodist University, [email protected] Raghuram Srinivas Southern Methodist University, [email protected] See next page for additional authors Follow this and additional works at: https://scholar.smu.edu/datasciencereview Recommended Citation Cline, Vishi; Dharwadkar, Abhishek; Goyal, Rajni; Engels, Daniel; Srinivas, Raghuram; and Rafiqi, Sohail (2018) "Stack Overflow Question Retrieval System," SMU Data Science Review: Vol. 1 : No. 2 , Article 13. Available at: https://scholar.smu.edu/datasciencereview/vol1/iss2/13 This Article is brought to you for free and open access by SMU Scholar. It has been accepted for inclusion in SMU Data Science Review by an authorized administrator of SMU Scholar. For more information, please visit http://digitalrepository.smu.edu. Stack Overflow Question Retrieval System Creative Commons License This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License Authors Vishi Cline, Abhishek Dharwadkar, Rajni Goyal, Daniel Engels, Raghuram Srinivas, and Sohail Rafiqi This article is available in SMU Data Science Review: https://scholar.smu.edu/datasciencereview/vol1/iss2/13 Cline et al.: Stack Overflow Question Retrieval System Stack Overflow Question Retrieval System Abhishek Dharwadkar1, Vishi Cline1, Rajni Goyal1 Daniel Engels2, Raghuram Srinivas2, Sohail Rafiqi2 1 Master of Science in Data Science, Southern Methodist University 6425 Boaz Lane, Dallas, TX 75205 {avdharwadkar, rajnig, vcline, rsrinivas}@mail.smu.edu {dwe, srafiqi}@lyle.smu.edu Abstract. -
Glitch.Com What Is Glitch?
glitch.com What is Glitch? “Everybody has good ideas of things we want to make on the Internet. But honestly, it’s gotten too hard. Gomix fixes that. If you’re not a professional developer, the barriers are way too high. There are pretty good tools if you just went to make a marketing website or a blog, but if your idea is an app or a bot or something more interactive, you’re out of luck. It ought to be as easy to make an app as it is to edit a blog post or to change a formula in a spreadsheet.” Anil Dash, December 6, 2016 https://medium.com/gomix/introducing-gomix-aec205c421cb#.fqutfey03 https://glitch.com/about/ Glitch handles the mess • While you work with Glitch, it will seamlessly upgrade your servers and cloud infrastructure in the background. • There’s no deployment or server provisioning because it all happens automatically. Backed by a real company Glitch • Glitch is made by Fog Creek, one of the most influential small tech companies in the world. • They made Trello, FogBugz and co-created Stack Overflow. Why did they make it In some ways, Glitch is a throwback to an older era of software or the internet, when there were simpler ways to get started making cool stuff. For people who were around at that time, they'll understand Glitch easily: It brings “View Source” back. The ability to just look at the code behind something, and tweak it, and make your own thing, was essential to making the Internet fun, and weird, and diverse, in its early days. -
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. -
An Analysis of Python's Topics, Trends, and Technologies Through Mining Stack Overflow Discussions
1 An Analysis of Python’s Topics, Trends, and Technologies Through Mining Stack Overflow Discussions Hamed Tahmooresi, Abbas Heydarnoori, and Alireza Aghamohammadi F Abstract—Python is a popular, widely used, and general-purpose pro- (LDA) [3] to categorize discussions in specific areas such gramming language. In spite of its ever-growing community, researchers as web programming [4], mobile application development [5], have not performed much analysis on Python’s topics, trends, and tech- security [6], and blockchain [7]. However, none of them has nologies which provides insights for developers about Python commu- focused on Python. In this study, we shed light on the nity trends and main issues. In this article, we examine the main topics Python’s main areas of discussion through mining 2 461 876 related to this language being discussed by developers on one of the most popular Q&A websites, Stack Overflow, as well as temporal trends posts, from August 2008 to January 2019, using LDA based through mining 2 461 876 posts. To be more useful for the software topic modeling . We also analyze the temporal trends of engineers, we study what Python provides as the alternative to popular the extracted topics to find out how the developers’ interest technologies offered by common programming languages like Java. is changing over the time. After explaining the topics and Our results indicate that discussions about Python standard features, trends of Python, we investigate the technologies offered web programming, and scientific programming 1 are the most popular by Python, which are not properly revealed by the topic areas in the Python community. -
The Curious Case of Posts on Stack Overflow
The curious case of posts on Stack Overflow Shailja Shukla Subject: (Information Systems) Corresponds to: (30 hp) Presented: (VT 2020) Supervisor: Mudassir Imran Mustafa Department of Informatics and Media 1 Contents Abstract ...................................................................................................................................... 6 Acknowledgements .................................................................................................................... 7 Chapter 1 .................................................................................................................................... 8 1. Introduction ........................................................................................................................ 8 1.1. Background ................................................................................................................ 8 1.2. Motivation ................................................................................................................ 10 1.2 Research Questions .................................................................................................. 11 1.3 Delimitation: ............................................................................................................ 12 1.4 Limitation:................................................................................................................ 12 Chapter 2 ................................................................................................................................. -
How to Communicate with Developers
How to Communicate with Developers Employer branding, job listings, and emails that resonate with a tech audience Developers are one of the most in-demand groups of employees these days. And guess what, they noticed this as well: Countless approaches by potential employers, sometimes several messages a day through Linkedin, and a few desperate recruiters even cold calling. So those with technical talents are by no means oblivious to the talent shortage. The good news is that they don’t just use this bargaining power to simply negotiate the highest salaries and most outrageous benefits. Instead, developers are intrinsically motivated. They are looking for the right place to work. Your challenge in this noisy jobs market is to clearly communicate what defines your employer brand, what work needs doing, and, ultimately, who might be the right fit for the role. All of this is easier said than done. Because tech recruiting is a complex business, it is easy to not see the forest for the trees. This guide will help you decide where to start or what to fix next. In the first and more general part, we would like you to take a step back. Before we even think about how to package our job opening and approach a candidate with our offer, we look at what information and knowledge you should gather about your tech team and the company at large. Following that, we will take a practical look at how to write and talk about your company and the role, with a special focus on the job listings and a recruiting emails as a first introduction. -
Mining Stack Overflow for Questions Asked by Web Developers
Mining Stack Overflow for Questions Asked by Web Developers An Empirical Study by Kartik Bajaj B.Tech., VIT University, 2012 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF APPLIED SCIENCE in The Faculty of Graduate and Postdoctoral Studies (Electrical and Computer Engineering) THE UNIVERSITY OF BRITISH COLUMBIA (Vancouver) December 2014 © Kartik Bajaj 2014 Abstract Modern web applications consist of a significant amount of client-side code, written in JavaScript, HTML, and CSS. In this thesis, we present a study of common challenges and misconceptions among web developers, by mining related questions asked on Stack Overflow. We use unsupervised learning to categorize the mined questions and define a ranking algorithm to rank all the Stack Overflow questions based on their importance. We analyze the top 50 questions qualitatively. The results indicate that (1) the overall share of web development related discussions is increasing among developers, (2) browser related discussions are prevalent; however, this share is decreasing with time, (3) form validation and other DOM related discussions have been discussed consistently over time, (4) web related discussions are becoming more preva- lent in mobile development, and (5) developers face implementation issues with new HTML5 features such as Canvas. We examine the implications of the results on the development, research, and standardization communi- ties. Our results show that there is a consistent knowledge gap between the options available and options known to developers. Given the presence of knowledge gap among developers, we need better tools customized to assist developers in building web applications. ii Preface The thesis is an extension of empirical study of questions asked by web de- velopers on Stack Overflow conducted by myself in collaboration with Pro- fessor Karthik Pattabiraman and Professor Ali Mesbah. -
Understanding and Predicting Software Developer Expertise in Stack Overflow and Github
Understanding and Predicting Software Developer Expertise in Stack Overflow and GitHub by Sri Lakshmi Vadlamani A Thesis submitted to the Faculty of Graduate and Postdoctoral Affairs in partial fulfilment of the requirements for the degree of Master of Computer Science with Specialization in Data Science Carleton University Ottawa, Ontario ©2021 Sri Lakshmi Vadlamani The undersigned recommend to the Faculty of Graduate and Postdoctoral Affairs acceptance of the Thesis Understanding and Predicting Software Developer Expertise in Stack Overflow and GitHub Submitted by Sri Lakshmi Vadlamani in partial fulfilment of the requirements for the degree of Master of Computer Science Dr. Olga Baysal, Thesis Supervisor Dr. Alan Tsang, Internal Examiner Dr. Omair Shafiq, External Examiner Dr. Matthew Holden, Chair of Defence Dr. Michel Barbeau, Department Chair Carleton University 2021 ii Abstract Knowledge and experience are touted as both the necessary and sufficient condi- tions to make a person an expert. This thesis attempts to investigate this issue in the context of software development by studying and predicting software developer's expertise based on their activity and experience on GitHub and Stack Overflow plat- forms. The thesis studies how developers themselves define the notion of an \expert", as well as why or why not developers contribute to online collaborative platforms. An exploratory survey was conducted with 73 software developers and a mixed methods approach was applied to analyze the survey results. The results provided deeper insights into how an expert in the field could be defined. The study provides a better understanding of the underlying factors that drive developers to contribute to GitHub and Stack Overflow, and the challenges they face when participating on either platform. -
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.