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As a result of being interested in Stack Overflow data myself, the need arose to track other Stack Overflow-based research.

The following is an attempt to list the academic papers mentioning Stack Overflow/Exchange or using Stack Exchange data. This also includes the works mentioned in the SO blog entry that started the trend, as well as two other questions on meta, one from 2010, and another one from 2011.

If you know of papers that are not listed, please edit the answer directly.

I realised it might be useful to have all the BibTeX entries in a single file, so I started this GitHub Gist.

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  • 13
    Year 2123: Stack Overflow is in the Top-20 of the "ISI Master Journal List" due to the number of citations and accumulated impact factor.. Commented Dec 13, 2013 at 10:28
  • 14
    The answers are split because SO allows at most 30k characters per answer. Commented Feb 23, 2014 at 18:04
  • 5
    what about one answer per year? Commented Dec 12, 2017 at 9:17
  • Does this paper fulfill what are you asking for? Commented Jul 1, 2023 at 17:23

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2024

  • Lina Gong, Haoxiang Zhang, MR2-KG: A multi-relation multi-rationale knowledge graph for modeling software engineering knowledge on Stack Overflow. IEEE Transactions on Software Engineering (TSE), 2024. [PDF]

  • Run Huang, Souti Chattopadhyay. A Tale of Two Communities: Exploring Academic References on Stack Overflow. Companion Proceedings of the ACM Web Conference 2024 (WWW ’24, Short Paper) [Preprint]

  • Lill, Alexander; Meyer, André N; Fritz, Thomas (2024). On the Helpfulness of Answering Developer Questions on Discord with Similar Conversations and Posts from the Past. In: 46th International Conference on Software Engineering (ICSE 2024), Lisbon, Portugal, 14 April 2024 - 20 April 2024. ACM Digital library, [PDF]

2023

  • Saikat Mondal, Debajyoti Mondal, Chanchal K. Roy. Investigating Technology Usage Span by Analyzing Users' Q&A Traces in Stack Overflow. 30th Asia-Pacific Software Engineering Conference (APSEC 2023) [Preprint]

  • Saikat Mondal, Mohammad Masudur Rahman, Chanchal K. Roy. Do Subjectivity and Objectivity Always Agree? A Case Study with Stack Overflow Questions. International Conference on Mining Software Repositories (MSR 2023) [PDF]

  • Krishna, V., Antulov-Fantulin, N. Temporal-Weighted Bipartite Graph Model for Sparse Expert Recommendation in Community Question Answering., In Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, pp. 156-163. 2023. (UMAP '23) [DOI]

2022

  • Saikat Mondal, Gias Uddin, Chanchal K. Roy. Automatic Prediction of Rejected Edits in Stack Overflow. Empirical Software Engineering (EMSE) [PDF]

  • Krishna, V., Vasiliauskaite, V. & Antulov-Fantulin, N. Question routing via activity-weighted modularity-enhanced factorization, Social Network Analysis and Mining. [DOI]

  • Agnieszka Geras, Grzegorz Siudem, Marek Gagolewski. Time to vote: Temporal clustering of user activity on Stack Overflow, Journal of the Association for Information Science and Technology (JASIST), 73(12), 2022, 1681–1691. [DOI]

  • Hengyi Fu, Sanghee Oh. Online community development in the early stages: the life cycle model application to Medical Sciences Stack Exchange. Aslib Journal of Information Management. [DOI]

  • W. Ledbetter and J. Springer, Answer Comments As Reviews: Predicting Acceptance By Measuring Valence On Stack Exchange, 2022 IEEE International Conference on Big Data (Big Data), Osaka, Japan, 2022, pp. 4782-4791, [DOI]

2021

  • Mohamad Yazdaninia, David Lo, Ashkan Sami. Characterization and Prediction of Questions without Accepted Answers on Stack Overflow, Proceedings of the 29th IEEE/ACM International Conference on Program Comprehension (ICPC 2021) [PDF]

  • Saikat Mondal, Mohammad Masudur Rahman, Chanchal K. Roy, Kevin Schneider. The Reproducibility of Programming-Related Issues in Stack Overflow Questions. Empirical Software Engineering (EMSE) [PDF]

  • Saikat Mondal, Banani Roy. Reproducibility Challenges and Their Impacts on Technical Q&A Websites: The Practitioners' Perspectives. Innovations in Software Engineering Conference (ISEC 2022) [PDF]

  • Rodrigo F. Silva, Mohammad M. Rahman, Carlos E. C. Dantas Chanchal Roy, Foutse Khomh, Marcelo A. Maia. Improved retrieval of programming solutions with code examples using a multi-featured score. Journal of Systems and Software. Vol. 181. [DOI] [PDF]

  • Jiakun Liu, Sebastian Baltes, Christoph Treude, David Lo, Yun Zhang, Xin Xia. Characterizing Search Activities on Stack Overflow. Proceedings of the 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2021). [PDF]

  • Moutidis I, Williams HTP (2021). Community evolution on Stack Overflow. PLoS ONE 16(6): e0253010. [DOI] [BibTex] [PDF]

  • Saikat Mondal, Gias Uddin and Chanchal K. Roy. Rollback Edit Inconsistencies in Developer Forum. The 18th International Conference on Mining Software Repositories (MSR 2021) [PDF]

  • Kaibo Cao, Chunyang Chen, Sebastian Baltes, Christoph Treude, Xiang Chen. Automated Query Reformulation for Efficient Search based on Query Logs From Stack Overflow. Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering (ICSE 2021). [PDF]

  • Haoxiang Zhang, Shaowei Wang, Heng Li, Tse-Hsun (Peter) Chen, and Ahmed E. Hassan, A Study of C/C++ Code Weaknesses on Stack Overflow. IEEE Transactions on Software Engineering (TSE), 2021. [PDF]

  • Haoxiang Zhang, Shaowei Wang, Tse-Hsun (Peter) Chen, and Ahmed E. Hassan, Are Comments on Stack Overflow Well Organized for Easy Retrieval by Developers?. ACM Transactions on Software Engineering and Methodology (TOSEM), 2021. [PDF]

  • Saikat Mondal, C M Khaled Saifullah, Avijit Bhattacharjee, Masud Rahman and Chanchal K. Roy. Early Detection and Guidelines to Improve Unanswered Questions on Stack Overflow. Innovations in Software Engineering Conference (ISEC 2021) [PDF]

2020

  • Rodrigo Silva, Chanchal Roy, Masud Rahman, Kevin Schneider, Klerisson Paixao, Carlos Dantas, Marcelo Maia. CROKAGE: Effective Solution Recommendations for Programming Tasks by Leveraging Crowd Knowledge, Empirical Software Engineering, 25, 4707–4758. [PDF]
    [DOI]

  • Preetha Chatterjee, Minji Kong, Lori Pollock. Finding help with programming errors: An exploratory study of novice software engineers’ focus in stack overflow posts, Journal of Systems and Software, Volume 159, 2020. [[DOI]](https://doi.org/10.1016/j.jss.2019.110454)

  • Saikat Mondal, Gias Uddin, and Chanchal K. Roy. Automatic Identification of Rollback Edit with Reasons in Stack Overflow Q&A Site. 36th International Conference on Software Maintenance and Evolution (ICSME-RR) 2020. [PDF]

  • Timur Bachschi, Aniko Hannak, Florian Lemmerich, and Johannes Wachs. From Asking to Answering: Getting More Involved on Stack Overflow. arXiv preprint: 2010.04025, 2020. [PDF]

  • Sebastian Baltes, Christoph Treude, and Martin Robillard. Contextual Documentation Referencing on Stack Overflow. IEEE Transactions on Software Engineering (TSE). [PDF]

  • Sebastian Baltes and Christoph Treude. Code Duplication on Stack Overflow. Proceedings of the 42nd International Conference on Software Engineering (ICSE-NIER 2020). [PDF]

  • Sebastian Baltes and Markus Wagner. An Annotated Dataset of Stack Overflow Post Edits. Genetic and Evolutionary Computation Conference Companion Proceedings (GECCO 2020 Companion) - 9th Genetic Improvement Workshop. [PDF]

  • Zhou, J., Wang, S., Bezemer, C. P., & Hassan, A. E. Bounties on technical Q&A sites: a case study of Stack Overflow bounties. Empirical Software Engineering, 25(1), 139-177. [DOI]

  • Sengupta, S., & Haythornthwaite, C. Learning with comments: An analysis of comments and community on Stack Overflow. In Proceedings of the 53rd Hawaii International Conference on System Sciences. [PDF]

  • Blanco, Guillermo, et al. Understanding the social evolution of the Java community in Stack Overflow: A 10-year study of developer interactions. Future Generation Computer Systems 105 (2020): 446-454. [PDF]

2019

  • Haoxiang Zhang, Shaowei Wang, Tse-Hsun (Peter) Chen, and Ahmed E. Hassan, Reading Answers on Stack Overflow: Not Enough!. IEEE Transactions on Software Engineering (TSE), 2019. [PDF]

  • Preetha Chatterjee, Kostadin Damevski, Lori Pollock, Vinay Augustine, and Nicholas A. Kraft. Exploratory Study of Slack Q&A Chats as a Mining Source for Software Engineering Tools, The 16th International Conference on Mining Software Repositories (MSR). PDF

  • László Tóth, Balázs Nagy, Dávid Janthó, László Vidács, Tibor Gyimóthy. Towards an Accurate Prediction of the Question Quality at Stack Overflow Using a Deep-Learning-Based NLP Approach. 14th International Conference on Software Technologies (ICSOFT) [DOI]

  • Suyu Ma, Zhenchang Xing, Chunyang Chen, Cheng Chen, Lizhen Qu, Guoqiang Li. Easy-to-Deploy API Extraction by Multi-Level Feature Embedding and Transfer Learning. IEEE Transactions on Software Engineering (TSE) [PDF]

  • Xiang Chen, Chunyang Chen, Dun Zhang, Zhenchang Xing. SEthesaurus: WordNet in Software Engineering. IEEE Transactions on Software Engineering (TSE) [PDF] [Tool]

  • Md Ahasanuzzaman, Muhammad Asaduzzaman, Chanchal K. Roy, Kevin A. Schneider. CAPS: a supervised technique for classifying Stack Overflow posts concerning API issues. Empirical Software Engineering (ESE), 2019. [PDF]

  • S. Mondal, M.M. Rahman, C.K. Roy Can Issues Reported at Stack Overflow Questions be Reproduced? An Exploratory Study Proceedings of the 16th International Conference on Mining Software Repositories (MSR 2019). [PDF]

  • L. Souza, E. Campos, F. Madeiral, K. Paixão, A. Rocha, M.A. Maia Bootstrapping Cookbooks for APIs from Crowd Knowledge on Stack Overflow Information and Software Technology, v. 111, 2019. [PDF]

  • R. Silva, C.K. Roy, M. Rahman, K. Schneider, K. Paixão, M.A. Maia Recommending Comprehensive Solutions for Programming Tasks by Mining Crowd Knowledge. Proc. of the International Conference on Program Comprehension (ICPC), 2019. [PDF]

  • Haoxiang Zhang, Shaowei Wang, Tse-Hsun (Peter) Chen, Ying Zou, Ahmed E. Hassan, An Empirical Study of Obsolete Answers on Stack Overflow. IEEE Transactions on Software Engineering (TSE), 2019. [PDF]

  • Anna May, Johannes Wachs, Aniko Hannak. Gender differences in participation and reward on Stack Overflow. Empirical Software Engineering, 2019. [PDF]

  • Agnieszka Geras, Grzegorz Siudem, Marek Gagolewski. Should we introduce a dislike button for academic articles?, Journal of the Association for Information Science and Technology (JASIST) 71(2), 2020, 221–229. [DOI]

  • Emillie Thiselton, Christoph Treude. Enhancing Python Compiler Error Messages via Stack Overflow. arXiv preprint arXiv:1906.11456v1, 2019. [PDF]

  • Sebastian Baltes, Christoph Treude, and Stephan Diehl. SOTorrent: Studying the Origin, Evolution, and Usage of Stack Overflow Code Snippets. Proceedings of the 16th International Conference on Mining Software Repositories (MSR 2019). [PDF] [website]

2018

  • Sk Adnan Hassan, Dipto Das, Anindya Iqbal, Amiangshu Bosu, Rifat Shahriyar and Toufique Ahmed. SOQDE: A Supervised Learning based Question Difficulty Estimation Model for Stack Overflow. 25th Asia-Pacific Software Engineering Conference (APSEC), 445-454, 2018. [DOI]

  • M. Ahasanuzzaman, M. Asaduzzaman, C. K. Roy, and K. A. Schneider. Classifying Stack Overflow Posts On API Issues. IEEE 25th International Conference on Software Analysis, Evolution and Reengineering (SANER), 2018. PDF

  • Rodrigo F. G. Silva, Klerisson Paixao, Marcelo de A. Maia. Duplicate Question Detection in Stack Overflow: A Reproducibility Study. IEEE 25th International Conference on Software Analysis, Evolution and Reengineering (SANER), 2018. DOI PDF Preprint

  • Chunyang Chen, Zhenchang Xing, Yang Liu. What's Spain's Paris? Mining Analogical Libraries from Q&A Discussions. Springer Empirical Software Engineering [PDF]

  • Chunyang Chen, Xi Chen, Jiamou Sun, Zhenchang Xing and Guoqiang Li. Data-Driven Proactive Policy Assurance of Post Quality in Community Q&A Sites. Proc. ACM Hum.-Comput. Interact. 2, CSCW, Article 33 [PDF]

  • Zakaria Mehrab, Raquib Bin Yousuf, Ibrahim Asadullah Tahmid, Rifat Shahriyar. Mining Developer Questions about Major Web Frameworks. Proceedings of the 14th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, 191-198, 2018. [dblp] [PDF] [DOI]

  • Shaowei Wang, Tse-Hsun Chen, Ahmed, E. Hassan, How Do Users Revise Answers on Technical Q&A Websites? A Case Study on Stack Overflow. IEEE Transactions on Software Engineering (TSE), 2018. [PDF]

  • Sebastian Baltes and Stephan Diehl. Usage and Attribution of Stack Overflow Code Snippets in GitHub Projects. Empirical Software Engineering, 2018. [DOI] [PDF]

  • Yi Huang, Chunyang Chen, Zhenchang Xing, Tian Lin and Yang Liu. Tell Them Apart: Distilling Technology Differences from Crowd-Scale Comparison Discussions. The 33rd IEEE/ACM International Conference on Automated Software Engineering (ASE) [PDF] [Tool]

  • Yuhao Wu, Shaowei Wang,Cor-Paul Bezemer, Katsuro Inoue. How Do Developers Utilize Source Code from Stack Overflow? Empirical Software Engineering, 2018. [PDF]

  • Fabio Calefato, Filippo Lanubile, Nicole Novielli. How to Ask for Technical Help? Evidence-based Guidelines for Writing Questions on Stack Overflow. Information and Software Technology, Volume 94, February 2018, Pages 186-207 [PDF]

  • Denae Ford, Kristina Lustig, Jeremy Banks, Chris Parnin. “We Don’t Do That Here”: How Collaborative Editing with Mentors Improves Engagement in Social Q&A Communities. Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18), Paper No. 608, April 2018. [PDF]

  • Jing Li, Aixin Sun, and Zhenchang Xing. Learning to Answer Programming Questions with Software Documentation through Social Context Embedding. Information Sciences (INS). Volumes 448–449, Pages 36-52, June 2018, Elsevier. [PDF]

  • Jing Li, Zhenchang Xing and Ashad Kabir. Leveraging Official Content and Social Context to Recommend Software Documentation. IEEE Transactions on Services Computing (TSC). IEEE, 2018. [PDF]

  • Sebastian Baltes, Lorik Dumani, Christoph Treude, and Stephan Diehl. SOTorrent: Reconstructing and Analyzing the Evolution of Stack Overflow Posts. Proceedings of the 15th International Conference on Mining Software Repositories (MSR 2018). [PDF] [website]

  • Jin Liu, Pingyi Zhou, Zijiang Yang, Xiao Liu and John Grundy. FastTagRec: fast tag recommendation for software information sites. Automated Software Engineering 2018, pages 1-27. [PDF]

  • Taniya Saini, Sachin Tripathi. Predicting tags for stack overflow questions using different classifiers. 4th International Conference on Recent Advances in Information Technology (RAIT 2018). [PDF]

Improve this answer
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  • 1
    Hi! I've made this a community wiki post like the others: The one you took this part from shows that there's a lot of people with less than 100 reputation points in the revision history, and this way they can contribute to this new answer with edits too. Commented Aug 26, 2019 at 8:25
  • 3
    "László Tóth"? Surely not the same László Tóth who took a sledgehammer to that one Michaelangelo statue? Commented Jan 8, 2020 at 15:38
  • me reading an abstract that shows that the researchers don't understand something about how we do things or why we do things the way we do: hrnnggggggg Commented Apr 11, 2023 at 16:56
  • A candidate. Commented Jun 23, 2023 at 12:55
145

2017

  • Shaowei Wang, Tse-Hsun Chen, Ahmed E. Hassan. Understanding the Factors for Fast Answers in Technical Q&A Websites: An Empirical Study on Four Stack Exchange Websites. Empirical Software Engineering (2017). [PDF]

  • Shaowei Wang, David Lo, Bogdan Vasilescu, Alexander Serebrenik. EnTagRec++: An Enhanced Tag Recommendation System for Software Information Sites. Empirical Software Engineering (2017). [PDF]

  • Chunyang Chen, Zhenchang Xing, and Yang Liu. By the Community & For the Community: A Deep Learning Approach to Assist Collaborative Editing in Q&A Sites. Proc. ACM Hum.-Comput. Interact. 1, CSCW, Article 32 (December 2017) [PDF]

  • Fabio Calefato, Filippo Lanubile, Federico Maiorano, Nicole Novielli. Sentiment Polarity Detection for Software Development. Empirical Software Engineering, https://doi.org/10.1007/s10664-017-9546-9. PDF

  • Reza Gharibi, Mohammad Malekzadeh. Gamified Incentives: A Badge Recommendation Model to Improve User Engagement in Social Networking Websites International Journal of Advanced Computer Science and Applications(IJACSA), 8(5), 2017 [PDF] [[Code]]

  • Chunyang Chen, Zhenchang Xing, Ximing Wang. Unsupervised Software-Specific Morphological Forms Inference from Informal Discussions The 39th International Conference on Software Engineering (ICSE), pp. 450-461 [PDF] [website]

  • Azad, Shams, Peter C. Rigby, and Latifa Guerrouj. Generating API Call Rules from Version History and Stack Overflow Posts. ACM Transactions on Software Engineering and Methodology (TOSEM) 25.4 (2017): 29. [PDF]

  • Abdalkareem, Rabe, Emad Shihab, and Juergen Rilling. On Code Reuse from StackOverflow: An Exploratory Study on Android Apps. Information and Software Technology (2017).[website]

  • Abdalkareem, Rabe, Emad Shihab, and Juergen Rilling. What Do Developers Use the Crowd For? A Study Using Stack Overflow. IEEE Software 34.2 (2017): 53-60.[PDF]

  • Campbell, Brock Angus, and Christoph Treude. NLP2Code: Code Snippet Content Assist via Natural Language Tasks. arXiv preprint arXiv:1701.05648 (2017).[PDF]

  • Convertino, Gregorio, et al. Toward a mixed-initiative QA system: from studying predictors in Stack Exchange to building a mixed-initiative tool. International Journal of Human-Computer Studies 99 (2017): 1-20. [website]

  • Vinayakarao, Venkatesh, et al. Anne: Improving source code search using entity retrieval approach. Proceedings of the Tenth ACM International Conference on Web Search and Data Mining. ACM, 2017. [website]

  • Alexey Zagalsky, Daniel M. German, Margaret-Anne Storey, Carlos Gómez Teshima, and Germán Poo-Caamaño. 2017. How the R Community Creates and Curates Knowledge: An Extended Study of Stack Overflow and Mailing Lists. Journal of Empirical Software Engineering (EMSE), August 2017, Springer US. [DOI] [PDF] [DATA]

  • Yuji Mizobuchi, Kuniharu Takayama. Two improvements to detect duplicates in Stack Overflow. 24th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2017). [PDF]

  • Pingyi Zhou, Jin Liu, Zijiang Yang, Guangyou Zhou. Scalable tag recommendation for software information sites. 24th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2017). [PDF]

2016

  • M. Ahasanuzzaman, M. Asaduzzaman, Chanchal K. Roy, Kevin A. Schneider: Mining duplicate questions in stack overflow ?. 13th International Conference on Mining Software Repositories (MSR 2016). [PDF]

  • Chunyang Chen, Zhenchang Xing SimilarTech: Automatically Recommend Analogical Libraries across Different Programming Languages. The 31st IEEE/ACM International Conference on Automated Software Engineering (ASE) [PDF]

  • Guibin Chen, Chunyang Chen, Zhenchang Xing, and Bowen Xu. Learning a Dual-Language Vector Space for Domain-Specific Cross-Lingual Question Retrieval. The 31st IEEE/ACM International Conference on Automated Software Engineering (ASE) [PDF]

  • Jing Li, Zhenchang Xing, Deheng Ye and Xuejiao Zhao. From Discussion to Wisdom: Web Resource Recommendation for Hyperlinks in Stack Overflow. Proceedings of the 31st ACM Symposium on Applied Computing (SAC 2016). [PDF]

  • Srba, Ivan. Promoting Sustainability and Transferability of Community Question Answering. Information Sciences and Technologies 8.2 (2016): 10. [PDF]

  • Boudaer, Glenn, and Johan Loeckx. Enriching Topic Modelling with Users' Histories for Improving Tag Prediction in Q&A Systems. Proceedings of the 25th International Conference Companion on World Wide Web. International World Wide Web Conferences Steering Committee, 2016.[PDF]

  • Eduardo Campos, Martin Monperrus, Marcelo Maia. Searching Stack Overflow for API-usage-related Bug Fixes Using Snippet-based Queries. Proc. of 26th International Conference on Computer Science and Software Engineering (CASCON), Toronto, Canada, p. 1-11, 2016. [PDF]

  • Utkarsh Upadhyay, Isabel Valera, Manuel Gomez-Rodriguez. Uncovering the Dynamics of Crowdlearning and the Value of Knowledge. 10th ACM International Conference on Web Search and Data Mining Conference (WSDM 2016). (Submitted on 14 Dec 2016.) [PDF]

  • Fernanda Delfim, Klérisson Paixão, Damien Cassou, Marcelo Maia. Redocumenting APIs with crowd knowledge: a coverage analysis based on question types. Journal of the Brazilian Computer Society (JBCS). (Volume: 29, Issue: 1, Dec. 2016) Open Access. [website].

  • Eduardo Campos, Lucas Souza, Marcelo Maia. Searching Crowd Knowledge to Recommend Solutions for API Usage Tasks. Journal of Software: Evolution and Process (JSEP). (Volume: 28, Issue: 10, Pages: 863--892). Wiley, 2016 [PDF] [website].

  • Ivan Srba and Maria Bielikova. Why is Stack Overflow Failing? Preserving Sustainability in Community Question Answering. IEEE Software (Volume: 33, Issue: 4, July-Aug. 2016). [website]

  • Chunyang Chen, Zhenchang Xing, Lei Han. TechLand: Assisting Technology Landscape Inquiries with Insights from Stack Overflow. The 32nd IEEE International Conference on Software Maintenance and Evolution (ICSME 2016).[PDF][Tool]
  • Chunyang Chen, Sa Gao, Zhenchang Xing. Mining Analogical Libraries in Q&A Discussions — Incorporating Relational and Categorical Knowledge into Word Embedding. The 23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2016). [PDF] [Tool]
  • Chunyang Chen, Zhenchang Xing. Towards Correlating Search on Google and Asking on Stack Overflow. The 40th IEEE Computer Society International Conference on Computers, Software & Applications (COMPSAC 2016). [PDF] [website]
  • Chunyang Chen, Zhenchang Xing. Mining Technology Landscape from Stack Overflow. The 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2016). [PDF][Tool]
  • Deheng Ye, Zhenchang Xing, Chee Yong Foo, Jing Li, and Nachiket Kapre. Learning to Extract API Mentions from Informal Natural Language Discussions. The 32nd International Conference on Software Maintenance and Evolution (ICSME 2016). [PDF]
  • Deheng Ye, Zhenchang Xing, and Nachiket Kapre. The Structure and Dynamics of Knowledge Network in Domain-specific Q&A Sites: A Case Study of Stack Overflow. Journal of Empirical Software Engineering (EMSE). 2016. (IF: 2.161) [PDF]
  • Deheng Ye, Zhenchang Xing, Chee Yong Foo, Zi Qun Ang, Jing Li, and Nachiket Kapre. Software-specific Named Entity Recognition in Software Engineering Social Content. The 23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2016). [PDF]
  • Deheng Ye, Zhenchang Xing, Jing Li, and Nachiket Kapre. Software-specific Part-of-speech Tagging: An Experimental Study on Stack Overflow. The 31st ACM/SIGAPP Symposium on Applied Computing (SAC 2016). [PDF]

  • Luca Ponzanelli, Gabriele Bavota, Andrea Mocci, Massimiliano Di Penta, Rocco Oliveto, Mir Hasan, Barbara Russo, Sonia Haiduc, Michele Lanza. Too Long; Didn’t Watch! Extracting Relevant Fragments from Software Development Video Tutorials, In Proceedings of the 38th International Conference on Software Engineering (ICSE 2016). [PDF] [Slides]

  • Luca Ponzanelli, Gabriele Bavota, Andrea Mocci, Massimiliano Di Penta, Rocco Oliveto, Barbara Russo, Sonia Haiduc, Michele Lanza. CodeTube: Extracting Relevant Fragments from Software Development Video Tutorials, In Proceedings of the 38th International Conference on Software Engineering (ICSE 2016). [PDF]

  • Alessandro Murgia, Daan Janssens, Serge Demeyer, Bogdan Vasilescu. Among the Machines: Human-Bot Interaction on Social Q&A Websites, In Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI 2016). [PDF]

  • Christoph Treude, Martin P. Robillard. Augmenting API Documentation with Insights from Stack Overflow, In Proceedings of the 38th International Conference on Software Engineering (ICSE 2016). [PDF]

  • Varun Kumar, Niranjan Pedanekar. Mining Shapes of Expertise in Online Social Q&A Communities In Companion Proceedings of CSCW 2016, the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing. [DOI] [PDF]

  • Alexey Zagalsky, Carlos Gómez Teshima, Daniel M. German, Margaret-Anne Storey, and Germán Poo-Caamaño. 2016. How the R Community Creates and Curates Knowledge: A Comparative Study of Stack Overflow and Mailing Lists. In 13th International Conference on Mining Software Repositories (MSR 2016). ACM, pages 441-451. [DOI] [PDF] [DATA] [Slides]

  • Ahasanuzzaman, Asaduzzaman, et al. Mining Duplicate Questions of Stack Overflow. IEEE/ACM 13th Working Conference on Mining Software Repositories (MSR 2016) [PDF]

  • Lin Wang, Bin Wu, Juan Yang, Shuang Peng. Personalized recommendation for new questions in community question answering. IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2016). [PDF]

  • Manish Bhanu, Joydeep Chandra. Exploiting response patterns for identifying topical experts in StackOverflow. Eleventh International Conference on Digital Information Management (ICDIM 2016). [PDF]

2015

  • Beyer, Stefanie and Pinzger, Martin Synonym Suggestion for Tags on Stack Overflow. Proceedings of the 2015 IEEE 23rd International Conference on Program Comprehension, ICPC '15, 2015.[website].

  • Luis Mastrangelo, Luca Ponzanelli, Andrea Mocci, Matthias Hauswirth, Nathaniel Nystrom, Michele Lanza. Use at Your Own Risk: The Java Unsafe API in the Wild. In Proceedings of the International Conference on Object Oriented Programming Systems Languages & Applications (OOPSLA 2015) [PDF]

  • Sharma, Abhishek, Yuan Tian, and David Lo. Nirmal: Automatic identification of software relevant tweets leveraging language model. Software Analysis, Evolution and Reengineering (SANER), 2015 IEEE 22nd International Conference on. IEEE, 2015.PDF

  • Luca Ponzanelli, Gabriele Bavota, Massimiliano Di Penta, Rocco Oliveto, Michele Lanza. Prompter: Turning the IDE into a Self-confident Programming Assistant. Empirical Software Engineering (EMSE)

  • Luca Ponzanelli, Andrea Mocci, Michele Lanza. Summarizing Complex Development Artifacts by Mining Heterogeneous Data. In Proceedings of the 12th Working Conference on Mining Software Repositories (MSR 2015) [PDF] [Slides]

  • Luca Ponzanelli, Andrea Mocci, Michele Lanza. StORMeD: Stack Overflow Ready Made Data. In Proceedings of the 12th Working Conference on Mining Software Repositories (MSR 2015) [PDF]

  • Nicole Novielli, Fabio Calefato, Filippo Lanubile. The Challenges of Sentiment Detection in the Social Programmer Ecosystem. In Proceedings of SSE '15, The 7th International Workshop on Social Software Engineering. [PDF] [Slides].

  • Guo Li, Haiyi Zhu, Tun Lu, Xianghua Ding, Ning Gu. Is It Good to Be Like Wikipedia?: Exploring the Trade-offs of Introducing Collaborative Editing Model to Q&A Sites (CSCW 2015). [PDF]

  • Joshua Sunshine, James D. Herbsleb, and Jonathan Aldrich. Searching the State Space: A Qualitative Study of API Protocol Usability In Proceedings of the International Conference on Program Comprehension (ICPC 2015). [PDF]

  • Fabio Calefato, Filippo Lanubile, Maria Concetta Marasciulo, Nicole Novielli. Mining Successful Answers in Stack Overflow. In Proceedings of MSR 2015, The 12th Working Conference on Mining Software Repositories. [PDF] [Slides].

  • Christoffer Rosen, Emad Shihab, 2015. What are mobile developers asking about? A large scale study using stack overflow. In Empirical Software Engineering, April 2015. Springer Science+Business Media. [DOI] [PDF]

  • Arwan Achmad, Rochimah Siti, Akbar Rizky, January 2015. Source code retrieval on StackOverflow using LDA. In: Information and Communication Technology (ICoICT), 2015 3rd International Conference on. IEEE, 2015. p. 295-299. [DOI]

  • Chua, Alton YK, and Snehasish Banerjee. Answers or no answers: Studying question answerability in Stack Overflow. Journal of Information Science 41.5 (2015): 720-731.[website]

  • Yun Zhang, David Lo, Xin Xia, Jian-Ling Sun. Multi-Factor Duplicate Question Detection in Stack Overflow. Journal of Computer Science and Technology (Volume 30, Issue 5, Pages 981–997) 2015. [PDF]

  • Morakot Choetkiertikul, Daniel Avery, et al. Who Will Answer My Question on Stack Overflow? 24th Australasian Software Engineering Conference 2015. [PDF]

2014

  • Lei Xu, Tingting Nian, Luís Cabral. What Makes Geeks Tick? A Study of Stack Overflow Careers [PDF]

  • Siddharth Subramanian, Laura Inozemtseva, and Reid Holmes. 2014. Live API Documentation In 36th International Conference on Software Engineering. ACM, pages 643-652 [DOI] [PDF]

  • Samuel Maurus and Claudia Plant, 2014. Ternary Matrix Factorization. In IEEE International Conference on Data Mining, 2014 (ICDM 2014).

  • Luca Ponzanelli, Andrea Mocci, Alberto Bacchelli, Michele Lanza. 2014. Improving Low Quality Stack Overflow Post Detection. In 30th International Conference on Software Maintenance and Evolution (ICSME'14). IEEE [BibTeX] [PDF] [Slides]

  • Luca Ponzanelli, Gabriele Bavota, Massimiliano Di Penta, Rocco Oliveto, Michele Lanza. 2014. Prompter: A Self-confident Recommender System. In 30th International Conference on Software Maintenance and Evolution (ICSME'14). IEEE [BibTeX] [PDF]

  • Luca Ponzanelli, Gabriele Bavota, Massimiliano Di Penta, Rocco Oliveto, Michele Lanza. 2014. Mining StackOverflow to Turn the IDE into a Self-confident Programming Prompter. In 11th Working Conference on Mining Software Repositories (MSR'14). ACM [DOI] [BibTeX] [PDF]

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  • Jose San Pedro, Alexandros Karatzoglou, 2014. Question recommendation for collaborative question answering systems with RankSLDA. In 8th Conference on Recommender systems (RecSys '14). ACM [DOI] [BibTeX] [PDF]

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  • Eduardo Campos, and Marcelo Maia. Automatic categorization of questions from Q&A sites. In ACM Symposium on Applied Computing - SAC'2014. ACM [DOI] [BibTeX] [PDF]

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  • Alexander Halavais, K Hazel Kwon, Shannon Havener and Jason Striker. 2014. Badges of Friendship: Social Influence and Badge Acquisition on Stack Overflow. In 47th Hawaii International International Conference on Systems Science (HICSS-47 2014). IEEE [DOI] [BibTeX] [PDF]

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23

2013

  • Dana Movshovitz-Attias and William Cohen, 2013. Natural Language Models for Predicting Programming Comments In Proceedings of the Association for Computational Linguistics ACL [BibTeX] [PDF]

  • Shuo Chang and Aditya Pal, 2013. Routing questions for collaborative answering in community question answering In Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining ACM, pages 494-501 [DOI] [BibTeX] [PDF]

  • Priyanka Singh, Nigel Shadbolt, 2013. Linked data in crowdsourcing purposive social network. In WWW (Companion Volume) International World Wide Web Conferences Steering Committee, pages 913-918 [BibTeX] [PDF]

  • Edmund Wong, Jinqiu Yang, Lin Tan, 2013. AutoComment: Mining question and answer sites for automatic comment generation. In ASE 2013 IEEE, pages 562-567 [DOI] [BibTeX] [PDF]

  • Alexandru Lucian Ginsca, Adrian Popescu, 2013. User profiling for answer quality assessment in Q&A communities In Proceedings of the 2013 workshop on Data-driven user behavioral modelling and mining from social media ACM, pages 25-28. [BibTeX] [PDF]

  • Anders Søgaard, Hector Martinez, Jakob Elming, Anders Johannsen, 2013. Using crowdsourcing to get representations based on regular expressions In 2013 Conference on Empirical Methods in Natural Language Processing. ACL, pages 1476-1480 [BibTeX] [PDF]

  • Rahul Venkataramani, Atul Gupta, Allahbaksh M. Asadullah, Basavaraju Muddu, Vasudev D. Bhat, 2013. Discovery of technical expertise from open source code repositories In Proceedings of the 22nd international conference on World Wide Web companion International World Wide Web Conferences Steering Committee, pages 97-98 [BibTeX] [PDF]

  • Joshua Saxe, David Mentis, Chris Greamo, 2013. Mining Web Technical Discussions to Identify Malware Capabilities In IEEE 33rd International Conference on Distributed Computing Systems Workshops. IEEE, pages 1-5 [DOI] [BibTeX] [PDF]

  • Amiangshu Bosu, Christopher S. Corley, Dustin Heaton, Debarshi Chatterji, Jeffrey C. Carver, Nicholas A. Kraft, 2013. Building reputation in StackOverflow: an empirical investigation In Proceedings of the 10th Working Conference on Mining Software Repositories. IEEE, pages 89-92. [BibTeX] [PDF]

  • David Kavaler, Daryl Posnett, Clint Gibler, Hao Chen, Premkumar Devanbu, Vladimir Filkov, 2013. Using and Asking: APIs Used in the Android Market and Asked about in StackOverflow In Social Informatics. Springer Verlag, Lecture Notes in Computer Science Volume 8238, 2013, pp 405-418 [DOI] [BibTeX] [PDF]

  • Mohammad Masudur Rahman, Shamima Yeasmin, Chanchal K. Roy, 2013 An IDE-Based Context-Aware Meta Search Engine In 20th Working Conference on Reverse Engineering. IEEE, pages 467-471. [DOI] [BibTeX] [PDF]

  • Galina E. Lezina, Artem M. Kuznetsov, 2013. Predict Closed Questions on StackOverflow In Proceedings of the Ninth Spring Researcher’s Colloquium on Database and Information Systems CEUR-WS, Volume 1031, pages 10-14. [PDF]

  • Dana Movshovitz-Attias, Yair Movshovitz-Attias, Peter Steenkiste and Christos Faloutsos, 2013. Analysis of the reputation system and user contributions on a question answering website: StackOverflow In Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining ACM, pages 886-893 [BibTeX] [DOI] [PDF]

  • Blerina Bazelli, Abram Hindle, Eleni Stroulia, 2013. On the Personality Traits of StackOverflow Users In 2013 IEEE International Conference on Software Maintenance. IEEE, pages 460-463 [BibTeX] [DOI] [PDF]

  • Clayton Stanley, Michael D. Byrne. 2013. Predicting Tags for StackOverflow Posts In 12th International Conference on Cognitive Modelling. , pages 414-419. [PDF]

  • Shaowei Wang, David Lo and Lingxiao Jiang. 2013. An Empirical Study on Developer Interactions in StackOverflow. In 28th Annual ACM Symposium on Applied Computing. ACM, pages 1019-1024. [DOI] [BibTeX] [PDF]

  • Dennis Schenk and Mircea Lungu. 2013. Geo-Locating the Knowledge Transfer in Stack Overflow. In International Workshop on Social Software Engineering. ACM, pages 21-24. [DOI] [BibTeX] [PDF]

  • Bogdan Vasilescu, Andrea Capiluppi and Alexander Serebrenik. 2013. Gender, representation and online participation: A quantitative study Interacting with Computers. Oxford University Press. 1-24 [DOI] [BibTeX] [PDF] [SlideShare] [Gender tool]

  • Bogdan Vasilescu, Vladimir Filkov and Alexander Serebrenik. 2013. StackOverflow and GitHub: Associations between software development and crowdsourced knowledge In 2013 ASE/IEEE International Conference on Social Computing. IEEE, pages 188-195. [BibTeX] [PDF] [Slides]

  • Bogdan Vasilescu, Alexander Serebrenik, Mark G.J. van den Brand. 2013. The Babel of software development: Linguistic diversity in Open Source In 5th International Conference on Social Informatics. Springer LNCS 8238, pages 391-404. [DOI] [BibTeX] [PDF]

  • Yuan Yao, Hanghang Tong, Tao Xie, Leman Akoglu, Feng Xu and Jian Lu. 2013. Want a Good Answer? Ask a Good Question First! [arXiv] [non-technical overview] [BbTeX]

  • Denzil Correa and Ashish Sureka. 2013. Fit or Unfit: Analysis and Prediction of 'Closed Questions' on Stack Overflow. In 2013 ACM Conference on Online Social Networks. ACM, pages 201-212. [DOI] [BibTeX] [PDF]

  • Luca Ponzanelli, Alberto Bacchelli and Michele Lanza. 2013. Seahawk: Stack Overflow in the IDE In 2013 International Conference on Software Engineering. IEEE, pages 1295-1298. [DOI] [BibTeX] [PDF]

  • Ashton Anderson, Dan Huttenlocher, Jon Kleinberg, and Jure Leskovec. 2013. Steering User Behavior With Badges In 22nd International World Wide Web Conference (WWW’13). ACM, pages 95-106. [DOI] [BibTeX] [PDF]

  • Miltiadis Allamanis and Charles Sutton. 2013. Why, When and What: Analyzing Stack Overflow Questions by Topic, Type & Code In 10th Working Conference on Mining Software Repositories. Mining Challenge. IEEE, pages 53-56. [DOI] [BibTeX] [PDF]

  • Muhammad Asaduzzaman, Ahmed Mashiyat, Chanchal Roy and Kevin Schneider. 2013. Answering Questions About Unanswered Questions of Stack Overflow In 10th Working Conference on Mining Software Repositories. Mining Challenge. IEEE, pages 97-100. [DOI] [BibTeX] [PDF]

  • Amiangshu Bosu, Christopher Corley, Dustin Heaton, Debarshi Chatterji, Jeffrey Carver and Nicholas Kraft. 2013. Building Reputation in StackOverflow: An Empirical Investigation In 10th Working Conference on Mining Software Repositories. Mining Challenge. IEEE, pages 89-92. [DOI] [BibTeX] [PDF]

  • Joshua Campbell, Chenlei Zhang, Zhen Xu, Abram Hindle and James Miller. 2013. Deficient Documentation Detection: A Methodology to Locate Deficient Project Documentation using Topic Analysis In 10th Working Conference on Mining Software Repositories. Mining Challenge. IEEE, pages 57-60. [DOI] [BibTeX] [PDF] [SlideShare]

  • Carlos Gomez, Brendan Cleary and Leif Singer. 2013. A Study of Innovation Diffusion Through Link Sharing on Stack Overflow In 10th Working Conference on Mining Software Repositories. Mining Challenge. IEEE, pages 81-84. [DOI] [BibTeX] [PDF]

  • Scott Grant and Buddy Betts. 2013. Encouraging User Behaviour With Achievements: An Empirical Study In 10th Working Conference on Mining Software Repositories. Mining Challenge. IEEE, pages 65-68. [DOI] [BibTeX] [PDF]

  • Mario Linares-Vásquez, Bogdan Dit and Denys Poshyvanyk. 2013. An Exploratory Analysis of Mobile Development Issues Using Stack Overflow In 10th Working Conference on Mining Software Repositories. Mining Challenge. IEEE, pages 93-96. [DOI] [BibTeX] [PDF]

  • Patrick Morrison and Emerson Murphy-Hill. 2013. Is Programming Knowledge Related To Age? - An Exploration of Stack Overflow In 10th Working Conference on Mining Software Repositories. Mining Challenge. IEEE, pages 69-72. [DOI] [BibTeX] [PDF]

  • Avigit K. Saha, Ripon K. Saha and Kevin A. Schneider. 2013. A Discriminative Model Approach for Suggesting Tags Automatically for Stack Overflow Questions In 10th Working Conference on Mining Software Repositories. Mining Challenge. IEEE, pages 73-76. [DOI] [BibTeX] [PDF] In Proceedings of the 23rd international conference on World wide web (WWW '14). ACM, New York, NY, USA, 631-642. [DOI] [PDF]

  • Vibha Singhal Sinha, Senthil Mani and Monika Gupta. 2013. Exploring Activeness of Users in Q&A Forums In 10th Working Conference on Mining Software Repositories. Mining Challenge. IEEE, pages 77-80. [DOI] [BibTeX]

  • Siddharth Subramanian and Reid Holmes. 2013. Making Sense of Online Code Snippets In 10th Working Conference on Mining Software Repositories. Mining Challenge. IEEE, pages 85-88. [DOI] [BibTeX] [PDF] [SlideShare] [Demo]

  • Wei Wang and Michael Godfrey. 2013. Detecting API Usage Obstacles: A Study of iOS and Android Developer Questions In 10th Working Conference on Mining Software Repositories. Mining Challenge. IEEE, pages 61-64. [DOI] [BibTeX] [PDF]

  • Ursula Martin and Alison Pease. 2013. What does mathoverflow tell us about the production of mathematics?. In SOHUMAN, 2nd International Workshop on Social Media for Crowdsourcing and Human Computation, at ACM Web Science 2013, May 1, 2013, Paris. [PDF]

  • Xin Xia, David Lo, Xinyu Wang and Bo Zhou. Tag recommendation in software information sites. In 10th Working Conference on Mining Software Repositories (MSR), 2013. [PDF]

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2012

  • Yla Tausczik and James Pennebaker. 2012. Participation in an online mathematics community: Differentiating motivations to add In Proceedings of the ACM 2012 Conference on Computer Supported Cooperative Work. ACM, pages 207-216. [DOI] [BibTeX] [PDF]

  • Annie T. T. Ying. 2012. Facilitating Code Example Search on the Web through Expertise Personalization In User Modeling, Adaptation, and Personalization Springer Verlag, Lecture Notes in Computer Science Volume 7379, pp 391-394 [DOI] [BibTeX] [PDF]

  • Leman Akoglu, Duen Horng Chau, U. Kang, Danai Koutra and Christos Faloutsos. 2012. OPAvion: mining and visualization in large graphs. In 2012 ACM SIGMOD International Conference on Management of Data (SIGMOD'12). ACM, pages 717-720. [DOI] [BibTeX] [PDF]

  • Ashton Anderson, Daniel Huttenlocher, Jon Kleinberg and Jure Leskovec. 2012. Discovering value from community activity on focused question answering sites: a case study of Stack Overflow. In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining [DOI] [BibTeX] [PDF]

  • Alberto Bacchelli, Luca Ponzanelli and Michele Lanza. 2012. Harnessing Stack Overflow for the IDE. In 2012 Third International Workshop on Recommendation Systems for Software Engineering (RSSE). IEEE, pages 26-30. [DOI] [BibTeX] [PDF]

  • Anton Barua, Stephen W. Thomas and Ahmed E. Hassan. 2012. What are developers talking about? An analysis of topics and trends in Stack Overflow. In Empirical Software Engineering [BibTeX] [PDF]

  • Benjamin V. Hanrahan, Gregorio Convertino, and Les Nelson. 2012. Modeling problem difficulty and expertise in stackoverflow. In ACM 2012 Conference on Computer Supported Cooperative Work Companion (CSCW '12). ACM, pages 91-94. [DOI] [BibTeX]

  • Hewijin Jiau, and Feng-Pu Yang. 2012. Facing up to the inequality of crowdsourced API documentation. In ACM SIGSOFT Software Engineering Notes. 37 (1): 1-9. [DOI] [BibTeX]

  • Rafael Lotufo, Leonardo Passos and Krzysztof Czarnecki. 2012. Towards improving bug tracking systems with game mechanisms. In Mining Software Repositories [DOI] [BibTeX] [PDF]

  • Seyed Mehdi Nasehi, Jonathan Sillito, Frank Maurer and Chris Burns. 2012. What Makes a Good Code Example? A Study of Programming Q&A in StackOverflow. In IEEE International Conference on Software Maintenance (ICSM 2012). IEEE. [DOI] [BibTeX] [PDF]

  • Aditya Pal, F. Maxwell Harper and Joseph A. Konstan. 2012. Exploring Question Selection Bias to Identify Experts and Potential Experts in Community Question Answering. In ACM Trans. Inf. Syst., vol.30, no.2, pages 10. [DOI] [BibTeX] [PDF]

  • Aditya Pal, Shuo Chang, and Joseph A. Konstan. 2012. Evolution of Experts in Question Answering Communities. In 6th International AAAI Conference on Weblogs and Social Media. [DOI] [BibTeX] [PDF]

  • Chris Parnin, Christoph Treude, Lars Grammel, and Margaret-Anne Storey. 2012. Crowd documentation: Exploring the coverage and the dynamics of API discussions on Stack Overflow. Georgia Tech Technical Report GIT-CS-12-05. [PDF]

  • Daryl Posnett, Eric Warburg, Premkumar Devanbu and Vladimir Filkov. 2012. Mining Stack Exchange: Expertise is Evident From Initial Contributions. In 2012 ASE International Conference on Social Informatics.

  • Fatemeh Riahi. 2012. Finding expert users in community question answering services using topic models, Master's Thesis, Dalhousie University, Halifax, Nova Scotia. [PDF]

  • Leif Singer, Fernando Figueira Filho, Brendan Cleary, Christoph Treude, Margaret-Anne Storey, and Kurt Schneider. 2012. Mutual assessment in the social programmer ecosystem: an empirical investigation of developer profile aggregators. Technical report, University of Hannover, Germany. [PDF]

  • Christoph Treude, Fernando Figueira Filho, Brendan Cleary, and Margaret-Anne Storey. 2012. Programming in a socially networked world: the evolution of the social programmer. In Future of Collaborative Software Development Workshop. [PDF]

  • Bogdan Vasilescu, Andrea Capiluppi and Alexander Serebrenik. 2012. Gender, representation and online participation: A quantitative study of StackOverflow. In 2012 ASE/IEEE International Conference on Social Informatics. IEEE, pages 332-338. [DOI] [BibTeX] [PDF]

  • Jakob Voß. 2012. Linking Folksonomies to Knowledge Organization Systems. In 6th Conference on Metadata and Semantics Research (MTSR '12). Springer, pages 89-97. [DOI] [HTML] [PDF] [Slides]

  • Alexey Zagalsky, Ohad Barzilay, and Amiram Yehudai. 2012. Example overflow: Using social media for code recommendation. In Third International Workshop on Recommendation Systems for Software Engineering (RSSE 2012). IEEE, pages 38-42. [DOI] [PDF]

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2011

  • Yla Tausczik and James Pennebaker. 2011. Predicting the Perceived Quality of Online Mathematics Contributions from Users' Reputations In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, pages 1885--1888. [DOI] [BibTeX] [PDF]

  • Zainab Zolaktaf, Fatemeh Riahi, Mahdi Shafiei, Evangelos Milios, 2011. Modeling Community Question Answering archives. In Workshop on Computational Social Science and the Wisdom of Crowds, Neural Information Processing Systems, December 17, 2011, Sierra Nevada, Spain. [BibTeX] [PDF]

  • Lena Mamykina, Bella Manoim, Manas Mittal, George Hripcsak, and Björn Hartmann. 2011. Design lessons from the fastest q&a site in the west. In 2011 Annual Conference on Human Factors in Computing Systems (CHI '11). ACM, pages 2857-2866. [DOI] [BibTeX] [PDF]

  • Toby Osbourn. 2011. Getting the most out of the web. IEEE Software, vol.28, no.1, pages 96. [DOI] [BibTeX]

  • Aditya Pal, Rosta Farzan, Joseph A. Konstan and Robert E. Kraut. 2011. Early detection of potential experts in question answering communities. In 19th International Conference on User Modeling, Adaption and Personalization (UMAP'11). Springer, pages 231-242. [DOI] [BibTeX] [PDF]

  • Chris Parnin, and Christoph Treude. Measuring API documentation on the web. 2011. In 2nd International Workshop on Web 2.0 for Software Engineering (Web2SE’11), ACM, pages 25–30. [DOI] [BibTeX] [PDF]

  • Nidhi Raj, Lipika Dey, and Bhakti Gaonkar. 2011. Expertise prediction for social network platforms to encourage knowledge sharing. In 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, Vol. 1. IEEE, pages 380-383. [DOI] [BibTeX]

  • Daniel Schall and Florian Skopik: An analysis of the structure and dynamics of large-scale Q/A communities. ADBIS'11 15th International Conference on Advances in Databases and Information Systems. [DOI] [BibTeX] [PDF]

  • Christoph Treude, Ohad Barzilay, and Margaret-Anne D. Storey. 2011. How do programmers ask and answer questions on the web?: NIER track. In 33rd International Conference on Software Engineering (ICSE'11), IEEE, pages 804-807. [DOI] [BibTeX] [PDF]

  • Zainab Zolaktaf, Fatemeh Riahi, Mahdi Shafiei, and Evangelos Milios. Modeling community question-answering archives. Technical report, Faculty of Computer Science, Dalhousie University, Canada. [PDF]

2010

  • Barthélémy Dagenais and Martin P. Robillard. 2010, Creating and evolving developer documentation: understanding the decisions of open source contributors In 18th ACM SIGSOFT International Symposium on Foundations of Software Engineering (FSE '10), ACM, pages 127-136. [DOI] [BibTeX] [PDF]

  • Ravi Kumar, Yury Lifshits, and Andrew Tomkins. 2010. Evolution of two-sided markets. In 3rd ACM International Conference on Web Search and Data Mining (WSDM '10). ACM, pages 311-320. [DOI] [BibTeX] [PDF] [Slides]

  • Hüseyin Oktay, Brian J. Taylor, and David D. Jensen. 2010. Causal discovery in social media using quasi-experimental designs. In First Workshop on Social Media Analytics (SOMA '10). ACM, pages 1-9. [DOI] [BibTeX] [PDF]

  • Matthew J.H. Rattigan and David Jensen. 2010. Leveraging D-Separation for Relational Data Sets. In 2010 IEEE International Conference on Data Mining (ICDM '10). IEEE, pages 989-994. [DOI] [BibTeX] [PDF]

2009

  • Erik Wilde Feeds as Query Result Serializations In arXiv:0911.2193 [cs.NI] [arXiv]
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    Daniel Schall and Florian Skopik: An analysis of the structure and dynamics of large-scale Q/A communities. ADBIS'11 15th International Conference on Advances in Databases and Information Systems. This paper is not about Stack Exchange Commented May 6, 2015 at 13:43

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