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It Takes Two to Tango: Deleted Stack Overflow Question Prediction with Text and Meta Features

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1006/jcss.1997.1504openalex-snapshot
A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
inferredcites →https://doi.org/10.1007/978-3-319-03260-3_35openalex-snapshot
Using and Asking: APIs Used in the Android Market and Asked about in StackOverflow
inferredcites →https://doi.org/10.1007/s10515-014-0162-2openalex-snapshot
Automatic, high accuracy prediction of reopened bugs
inferredcites →https://doi.org/10.1007/s10664-012-9228-6openalex-snapshot
Studying re-opened bugs in open source software
inferredcites →https://doi.org/10.1007/s10664-012-9231-yopenalex-snapshot
What are developers talking about? An analysis of topics and trends in Stack Overflow
inferredcites →https://doi.org/10.1016/j.infsof.2014.12.006openalex-snapshot
ELBlocker: Predicting blocking bugs with ensemble imbalance learning
inferredcites →https://doi.org/10.1023/a:1010933404324openalex-snapshot
Random Forests
inferredcites →https://doi.org/10.1109/compsac.2014.17openalex-snapshot
Automated Configuration Bug Report Prediction Using Text Mining
inferredcites →https://doi.org/10.1109/csmr.2013.15openalex-snapshot
Predicting Project Outcome Leveraging Socio-Technical Network Patterns
inferredcites →https://doi.org/10.1109/iceccs.2014.14openalex-snapshot
Automatic Defect Categorization Based on Fault Triggering Conditions
inferredcites →https://doi.org/10.1109/icse.2012.6227175openalex-snapshot
Active refinement of clone anomaly reports
inferredcites →https://doi.org/10.1109/icsm.2008.4658083openalex-snapshot
Automated severity assessment of software defect reports
inferredcites →https://doi.org/10.1109/icsm.2012.6405249openalex-snapshot
What makes a good code example?: A study of programming Q&A in StackOverflow
inferredcites →https://doi.org/10.1109/icsm.2013.25openalex-snapshot
An Analysis of Machine Learning Algorithms for Condensing Reverse Engineered Class Diagrams
inferredcites →https://doi.org/10.1109/icsme.2014.46openalex-snapshot
Mining Co-change Information to Understand When Build Changes Are Necessary
inferredcites →https://doi.org/10.1109/icsme.2014.51openalex-snapshot
EnTagRec: An Enhanced Tag Recommendation System for Software Information Sites
inferredcites →https://doi.org/10.1109/icsme.2014.90openalex-snapshot
Improving Low Quality Stack Overflow Post Detection
inferredcites →https://doi.org/10.1109/msr.2010.5463284openalex-snapshot
Predicting the severity of a reported bug
inferredcites →https://doi.org/10.1109/msr.2013.6624015openalex-snapshot
Answering questions about unanswered questions of Stack Overflow
inferredcites →https://doi.org/10.1109/msr.2013.6624040openalex-snapshot
Tag recommendation in software information sites
inferredcites →https://doi.org/10.1109/qsic.2014.27openalex-snapshot
Understanding and Classifying the Quality of Technical Forum Questions
inferredcites →https://doi.org/10.1145/1143844.1143865openalex-snapshot
An empirical comparison of supervised learning algorithms
inferredcites →https://doi.org/10.1145/1656274.1656278openalex-snapshot
The WEKA data mining software
inferredcites →https://doi.org/10.1145/1882362.1882370openalex-snapshot
Social media for software engineering
inferredcites →https://doi.org/10.1145/1882362.1882435openalex-snapshot
The impact of social media on software engineering practices and tools
inferredcites →https://doi.org/10.1145/1978942.1979366openalex-snapshot
Design lessons from the fastest q&a site in the west
inferredcites →https://doi.org/10.1145/2512938.2512954openalex-snapshot
Fit or unfit
inferredcites →https://doi.org/10.1145/2523813openalex-snapshot
A survey on concept drift adaptation
inferredcites →https://doi.org/10.1145/2566486.2568036openalex-snapshot
Chaff from the wheat
inferredcites →https://doi.org/10.1145/2597008.2597157openalex-snapshot
Condensing class diagrams by analyzing design and network metrics using optimistic classification
inferredcites →https://doi.org/10.1145/2597073.2597077openalex-snapshot
Mining StackOverflow to turn the IDE into a self-confident programming prompter
inferredcites →https://doi.org/10.1145/2597073.2597083openalex-snapshot
Mining questions asked by web developers
inferredcites →https://doi.org/10.1145/2597073.2597099openalex-snapshot
Characterizing and predicting blocking bugs in open source projects

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/pra2.2017.14505401036openalex-snapshot
Identifying the reasons contributing to question deletion in educational Q&A
inferred← citeshttps://doi.org/10.1007/s00521-019-04592-0openalex-snapshot
Predicting closed questions on community question answering sites using convolutional neural network
inferred← citeshttps://doi.org/10.1007/s11390-016-1672-0openalex-snapshot
What Security Questions Do Developers Ask? A Large-Scale Study of Stack Overflow Posts
inferred← citeshttps://doi.org/10.1016/j.jksuci.2017.07.006openalex-snapshot
Three-level learning for improving cross-project logging prediction for if-blocks
inferred← citeshttps://doi.org/10.1016/j.jss.2019.110454openalex-snapshot
Finding help with programming errors: An exploratory study of novice software engineers’ focus in stack overflow posts
inferred← citeshttps://doi.org/10.1049/cit2.12081openalex-snapshot
Analysis of community question‐answering issues via machine learning and deep learning: State‐of‐the‐art review
inferred← citeshttps://doi.org/10.1108/dta-07-2017-0054openalex-snapshot
A survey on mining stack overflow: question and answering (Q&A) community
inferred← citeshttps://doi.org/10.1109/access.2021.3108416openalex-snapshot
Deep Learning-Based Correct Answer Prediction for Developer Forums
inferred← citeshttps://doi.org/10.1109/msr59073.2023.00060openalex-snapshot
Do Subjectivity and Objectivity Always Agreeƒ A Case Study with Stack Overflow Questions
inferred← citeshttps://doi.org/10.1109/scam.2019.00025openalex-snapshot
Characterizing Leveraged Stack Overflow Posts
inferred← citeshttps://doi.org/10.1109/vlhcc.2017.8103473openalex-snapshot
Someone like me: How does peer parity influence participation of women on stack overflow?
inferred← citeshttps://doi.org/10.1142/s0218194025500688openalex-snapshot
Analysis of the Relationship between Editing Behaviors and Questions in Stack Overflow
inferred← citeshttps://doi.org/10.1145/2970276.2970357openalex-snapshot
Predicting semantically linkable knowledge in developer online forums via convolutional neural network
inferred← citeshttps://doi.org/10.1145/3021460.3021461openalex-snapshot
Empirical Analysis on Effectiveness of Source Code Metrics for Predicting Change-Proneness
inferred← citeshttps://doi.org/10.1145/3183440.3183478openalex-snapshot
SATD detector
inferred← citeshttps://doi.org/10.1145/3196321.3196348openalex-snapshot
Recommending frequently encountered bugs
inferred← citeshttps://doi.org/10.58088/scqa-c151openalex-snapshot
Mining information from developer chats towards building software maintenance tools
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