Learning with Comments: an Analysis of Comments and Community on Stack Overflow

Total Page:16

File Type:pdf, Size:1020Kb

Learning with Comments: an Analysis of Comments and Community on Stack Overflow Proceedings of the 53rd Hawaii International Conference on System Sciences | 2020 Learning with comments: An analysis of comments and community on Stack Overflow Subhasree Sengupta Caroline Haythornthwaite Syracuse University Syracuse University [email protected] [email protected] Abstract Engagement on SO is an example of ‘learning in the wild’ [20], i.e., an informal and non-formal self- Stack Overflow (SO) has become a primary source organizing learning environment where crowds of for learning, how to code, with community features participants ask, answer, comment, correct, argue, and supporting asking and answering questions, upvoting to make the effort to present information in informed and signify approval of content, and comments to extend accessible ways, while also monitoring content, value, questions and answers. While past research has and appropriate behavior. While based on crowd considered the value of posts, often based on upvoting, participation, these environments are also communities: little has examined the role of comments. Beyond value epistemic communities, based on a common orientation in explaining code, comments may offer new ways of to a particular knowledge domain [44]; discourse looking at problems, clarifications of questions or communities, understanding and employing particular answers, and socially supportive community language and genre of communication [45]; and interactions. To understand the role of comments, a communities of practice, with common goals and content analysis was conducted to evaluate the key orientations [34]. purposes of comments. A coding schema of nine These knowledge-focused peer production comment categories was developed from open coding on communities engage in continuously emerging a set of 40 posts and used to classify comments in a interpretation, clarification, and explanation of larger dataset of 2323 comments from 50 threads over knowledge, while maintaining a focus on accuracy, a 6-month period. Results provide insight into the way referencing, and the practice of the domain of the comments support learning, knowledge knowledge. For example, in Reddit AskHistorians, development, and the SO community, and the use and contributions are written to meet a general reader’s understanding and provide references as support for usefulness of the comment feature. arguments, and for further reading; learners gain understanding of new areas, and also how the study of history is conducted (historiography) [12]. 1. Introduction In addressing learning in SO, we follow the ‘learning in the wild’ emphasis on analysis of conversation and Stack Overflow (SO) is a highly successful question interaction and how this supports learning and and answer (Q&A) site covering a wide range of topics community. This approach takes, as its starting point the on computer programming. In May 2017, an answer on theoretical perspective of social learning [29, 30], and SO to the question of how many users there are on SO its more recent investigation in online forums as social indicated 829,905 users, of whom 564,682 were learning analytics [31]: registered (i.e., have signed up with SO giving “[T]he focus of social learning analytics is on processes in identifiable user information), 265,189 unregistered, which learners are not solitary, and are not necessarily doing and 32 moderators. Current estimates indicate that users work to be marked, but are engaged in social activity, either interacting directly with others (for example, messaging, on SO have asked 18 million questions, provided 27 friending or following), or using platforms in which their million answers, and 74 million comments (June 4, 2019 activity traces will be experienced by others (for example, on https://data.stackexchange.com/). This makes SO publishing, searching, tagging or rating). smaller than general Q&A forums such as Quora (300 Social Learning Analytics ... draws on the substantial million monthly visitors), or Reddit (542 million body of work demonstrating that new skills and ideas are not monthly visitors; 234 unique visitors), but larger and solely individual achievements, but are developed, carried more diverse than other programming forums. forward, and passed on through interaction and collaboration.” [31, p. 5] URI: https://hdl.handle.net/10125/64096 978-0-9981331-3-3 Page 2898 (CC BY-NC-ND 4.0) Interaction builds social networks, and as such this community practice. Privileges also include permission research is also predicated on concepts from social to post to SO chat, add to the community wiki, vote network analysis, and its application to learning posts up or down, flag posts for moderator evaluation, networks [32, 33]. This perspective looks to interactions be named to a site status, and access to moderator and among network members analyzing the way, these analytic tools (https://stackoverflow.com/help/ interactions build social structures that support and privileges). The result is a self-organizing system where sustain the community. This includes structures of recognition of reputation opens doors to further norms and rules, social roles and reputation systems, activities that both support the community and increase and network outcomes. the reputation of the individual. In open, online Q&A and learning forums, norms, rules and procedures emerge associated with knowledge 2. Research Questions and community practice. Roles include moderators who manage rules, and braiders who weave together threads from others’ answers [28]; recognitions include flairs As the importance of these open, online, knowledge- granted for merit-based contributions (Reddit). Roles exchange initiatives increase, a number of questions and recognitions emerge from practice: e.g., participants arise about how conversational practices sustain who are known for finding previous answers to current participation, valued knowledge exchange, and questions have recently been recognized with a “FAQ community commitment. Here we examine these finder” flair in Reddit AskHistorians [12]. Roles and practices in relation to SO, and specifically regarding reputations are built through contributions, and thus SO comments. they make network connections of different types that Three crucial conversational features define accord cohesiveness and support to the community, like practices in SO: the question around which the flairs in Reddit, and reputation points in SO. Roles, discussion is centered; the answer or answers; and the recognitions, and reputation systems provide structure comments on both questions and answers. Comments in in the network that forms the character and practice of a SO serve as “temporary post-it notes on questions and particular community of practice [16, 34]. answers”. By design, comments can only be posted An important network outcome in learning sites is below questions and answers, and thus, comments are trust in the knowledge gained through the site, and that always associated with the discussion around the in turn can be based on trust in the knowledge exchange question or answer(s) in a post. As noted, posting practices. In SO, as in other such communities, any comments is a privilege, open only to SO users with knowledge hierarchy that exists is created and some reputation gained through SO participation recognized from within, and trust is built through a (https://stackoverflow.com/help/privileges/comment). recognition system. The reputation built through SO Comments clarify and enrich the content conveyed activity leads to privileges in the community. In SO, through questions and answers. Examining comments is reputation is recognized by accumulating points based particularly relevant when considering SO as a learning on others’ acknowledgement of the value of a question site because comments go beyond the question or or answer (points do not accrue for comments). Points answer to show the process of learning and knowledge are awarded according to the number of upvotes on a construction. question (5 points) or answer (10 points; downvotes Prior scholarship on SO has analyzed questions and subtract points), an answer ‘accepted’ as the best answers extensively, and how these enrich discussion solution (15 points), and answering a question with an quality. However, the contribution of comments in SO associated bounty (various amount of points; reputation discussions has not been thoroughly analyzed. This points placed on a question as a way to elicit study provides initial insight into the typology of answers;(https://stackoverflow.com/help/whatsreputa- comments in SO, and the value these brings to the SO tion). community. The overall research question for this study The privileges lead to increased access to the is: workings of SO. This allows participants to strengthen ● How do comments support learning and their commitment to the community through more and community in SO? different kinds of contributions (in social network terms, To evaluate the nature of commenting on SO, a this increases their relational multiplexity, which is an content analysis was carried out to identify the types of indicator of tie strength). The privilege, most relevant to comments in SO, and then applied to a larger dataset of the current study is, being allowed to post comments; a comments to address the questions: privilege provided only to those with 50 reputation ● What are the main categories or types of points, and thus is available only to those demonstrating comments observed in SO threads? some competence and knowledge about
Recommended publications
  • 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.
    [Show full text]
  • 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.
    [Show full text]
  • 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.
    [Show full text]
  • 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.
    [Show full text]
  • 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 .................................................................................................................................
    [Show full text]
  • 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.
    [Show full text]
  • 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.
    [Show full text]
  • 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.
    [Show full text]
  • Characteristics and Challenges of Low-Code Development: the Practitioners' Perspective
    Characteristics and Challenges of Low-Code Development: The Practitioners’ Perspective Yajing Luo1, Peng Liang1∗, Chong Wang1, Mojtaba Shahin2, Jing Zhan3 1School of Computer Science, Wuhan University, Wuhan, China 2Faculty of Information Technology, Monash University, Melbourne, Australia 3Department of Computer Science, University of Illinois at Urbana-Champaign, Champaign, United States {luoyajing, liangp, cwang}@whu.edu.cn, [email protected], [email protected] ABSTRACT ACM Reference Format: 1 1∗ 1 2 3 Background: In recent years, Low-code development (LCD) is Yajing Luo , Peng Liang , Chong Wang , Mojtaba Shahin , Jing Zhan . growing rapidly, and Gartner and Forrester have predicted that the 2021. Characteristics and Challenges of Low-Code Development: The Prac- titioners’ Perspective. In ACM / IEEE International Symposium on Empirical use of LCD is very promising. Giant companies, such as Microsoft, Software Engineering and Measurement (ESEM) (ESEM ’21), October 11–15, Mendix, and Outsystems have also launched their LCD platforms. 2021, Bari, Italy. ACM, New York, NY, USA, 11 pages. https://doi.org/10.1145/3475716.3475782 Aim: In this work, we explored two popular online developer communities, Stack Overflow (SO) and Reddit, to provide insights on the characteristics and challenges of LCD from a practitioners’ 1 INTRODUCTION perspective. Method: We used two LCD related terms to search With the growth of the Internet and the wave of digitalization, the relevant posts in SO and extracted 73 posts. Meanwhile, we there is a growing need for enterprises to make quick and resilient explored three LCD related subreddits from Reddit and collected responses to changing market requirements [15]. According to the 228 posts.
    [Show full text]
  • What Defines a Good Stack Overflow Answer Post, an Automated Post Rater Github Link: H Ttps://Github.Com/Yanpeitian/CS229
    What Defines a Good Stack Overflow Answer Post, An Automated Post Rater Github Link: h ttps://github.com/YanpeiTian/CS229 1. Abstract Major Q&A sites for professional and enthusiast programmers, like Stack Overflow, have gained phenomenal popularity during recent years. Programmers are relying on these sites to seek inspiration, find solutions and help others. However, many of the question owners do not select their most preferred answer. Therefore, it would be very inconvenient for other viewers to quickly identify useful information, especially for some unpopular questions with zero vote. This project attempts to address this issue by building an automated agent that can identify “good” answers. A feature extractor is first used to preprocess the data. Then, we apply logistic regression, SVM, and neural network to train our model. With our implementation, we can get ~70% prediction accuracy when measured against the accuracy metric1 . 2. Introduction As there are many desired qualities that define a good answer. We built our own feature extractor to gauge our data. The input to our feature extractor is the raw data obtained from the Stack Overflow online public archive. We used SQL to query related questions, answers, and user information from it. Then we preprocessed the data to obtain relevant features, such as comment count, post length, user reputation, user profile views, total user upvotes, total user down votes, the number of code words used in the description, the length of code blocks, hyperlinks (reference), and edit, etc. Other than the manually selected features mentioned above, we also considered the overall style and fluency of an answer.
    [Show full text]
  • Characterization and Prediction of Questions Without Accepted Answers on Stack Overflow
    Characterization and Prediction of Questions without Accepted Answers on Stack Overflow Mohamad Yazdaninia∗ David Lo Ashkan Sami Department of CSE and IT School of Information Systems Department of CSE and IT Shiraz University Singapore Management University Shiraz University Shiraz, Iran Singapore Shiraz, Iran [email protected] [email protected] [email protected] Abstract—A fast and effective approach to obtain information visitors use solved problems on Stack Overflow. To ask appro- regarding software development problems is to search them to priate questions, Stack Overflow helps users with hints about find similar solved problems or post questions on community on/off topics, the specificity of a question, and improvement question answering (CQA) websites. Solving coding problems in a short time is important, so these CQAs have a considerable tips [3]. In spite of all of these, our observations show the impact on the software development process. However, if devel- number of questions without accepted answers is increasing on opers do not get their expected answers, the websites will not Stack Overflow. Askers mark answers that solve their coding be useful, and software development time will increase. Stack problems as accepted answers [1]. We consider questions with Overflow is the most popular CQA concerning programming accepted answers as resolved questions; otherwise, we name problems. According to its rules, the only sign that shows a question poser has achieved the desired answer is the user’s them unresolved questions. Increasing the number of unre- acceptance. In this paper, we investigate unresolved questions, solved questions on Stack Overflow motivated us to inquire without accepted answers, on Stack Overflow.
    [Show full text]
  • 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.
    [Show full text]