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Bug Report Enrichment with Application of Automated Fixer Recommendation
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/smr.1706openalex-snapshot
Dual analysis for recommending developers to resolve bugs
inferredcites →https://doi.org/10.1002/smr.530openalex-snapshot
Assigning change requests to software developers
inferredcites →https://doi.org/10.1007/978-3-540-31865-1_25openalex-snapshot
A Probabilistic Interpretation of Precision, Recall and F-Score, with Implication for Evaluation
inferredcites →https://doi.org/10.1007/s10515-014-0162-2openalex-snapshot
Automatic, high accuracy prediction of reopened bugs
inferredcites →https://doi.org/10.1007/s11390-017-1713-3openalex-snapshot
High-Impact Bug Report Identification with Imbalanced Learning Strategies
inferredcites →https://doi.org/10.1016/j.jss.2016.02.034openalex-snapshot
Towards more accurate severity prediction and fixer recommendation of software bugs
inferredcites →https://doi.org/10.1037/h0041412openalex-snapshot
The effects of violations of assumptions underlying the t test.
inferredcites →https://doi.org/10.1109/apsec.2011.15openalex-snapshot
DREX: Developer Recommendation with K-Nearest-Neighbor Search and Expertise Ranking
inferredcites →https://doi.org/10.1109/ase.2011.6100061openalex-snapshot
Towards more accurate retrieval of duplicate bug reports
inferredcites →https://doi.org/10.1109/ase.2013.6693093openalex-snapshot
Improving bug localization using structured information retrieval
inferredcites →https://doi.org/10.1109/csmr.2011.31openalex-snapshot
Comparing Mining Algorithms for Predicting the Severity of a Reported Bug
inferredcites →https://doi.org/10.1109/icse.2007.32openalex-snapshot
Detection of Duplicate Defect Reports Using Natural Language Processing
inferredcites →https://doi.org/10.1109/icse.2012.6227210openalex-snapshot
Where should the bugs be fixed? More accurate information retrieval-based bug localization based on bug reports
inferredcites →https://doi.org/10.1109/icsm.2012.6405306openalex-snapshot
Triaging incoming change requests: Bug or commit history, or code authorship?
inferredcites →https://doi.org/10.1109/issre.2016.33openalex-snapshot
Combining Word Embedding with Information Retrieval to Recommend Similar Bug Reports
inferredcites →https://doi.org/10.1109/msr.2010.5463284openalex-snapshot
Predicting the severity of a reported bug
inferredcites →https://doi.org/10.1109/msr.2013.6623997openalex-snapshot
Why so complicated? Simple term filtering and weighting for location-based bug report assignment recommendation
inferredcites →https://doi.org/10.1109/taai.2012.20openalex-snapshot
Duplication Detection for Software Bug Reports Based on BM25 Term Weighting
inferredcites →https://doi.org/10.1109/tr.2015.2484074openalex-snapshot
Automated Bug Report Field Reassignment and Refinement Prediction
inferredcites →https://doi.org/10.1109/tse.2013.2297712openalex-snapshot
Automatic Summarization of Bug Reports
inferredcites →https://doi.org/10.1109/tse.2013.24openalex-snapshot
Where Should We Fix This Bug? A Two-Phase Recommendation Model
inferredcites →https://doi.org/10.1109/tse.2016.2576454openalex-snapshot
Improving Automated Bug Triaging with Specialized Topic Model
inferredcites →https://doi.org/10.1109/wcre.2012.31openalex-snapshot
Information Retrieval Based Nearest Neighbor Classification for Fine-Grained Bug Severity Prediction
inferredcites →https://doi.org/10.1145/1102351.1102363openalex-snapshot
Learning to rank using gradient descent
inferredcites →https://doi.org/10.1145/1183614.1183698openalex-snapshot
Optimisation methods for ranking functions with multiple parameters
inferredcites →https://doi.org/10.1145/1453101.1453146openalex-snapshot
What makes a good bug report?
inferredcites →https://doi.org/10.1145/1806799.1806811openalex-snapshot
A discriminative model approach for accurate duplicate bug report retrieval
inferredcites →https://doi.org/10.1145/1806799.1806872openalex-snapshot
Summarizing software artifacts
inferredcites →https://doi.org/10.32614/r.manualsopenalex-snapshot
R: A Language and Environment for Statistical Computing
inferredcites →https://doi.org/10.5555/2337223.2337226openalex-snapshot
Where should the bugs be fixed? - more accurate information retrieval-based bug localization based on bug reports
inferredcites →https://doi.org/10.7551/mitpress/1120.003.0082openalex-snapshot
Latent Dirichlet Allocation
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/smr.2184openalex-snapshot
Identifying and predicting key features to support bug reporting
inferred← citeshttps://doi.org/10.1002/smr.2250openalex-snapshot
Guidelines for evaluating bug‐assignment research
inferred← citeshttps://doi.org/10.1002/smr.2424openalex-snapshot
Are duplicates really harmful? An empirical study on bug report summarization techniques
inferred← citeshttps://doi.org/10.1007/s10515-025-00553-1openalex-snapshot
BRMDS: an LLM-based multi-dimensional summary generation approach for bug reports
inferred← citeshttps://doi.org/10.1007/s10664-025-10634-0openalex-snapshot
Fixer-level supervised contrastive learning for bug assignment
inferred← citeshttps://doi.org/10.1007/s11704-018-7308-5openalex-snapshot
Automatic test report augmentation to assist crowdsourced testing
inferred← citeshttps://doi.org/10.1016/j.infsof.2021.106540openalex-snapshot
A decentralized blockchain oriented framework for automated bug assignment
inferred← citeshttps://doi.org/10.1016/j.infsof.2023.107302openalex-snapshot
CLeBPI: Contrastive Learning for Bug Priority Inference
inferred← citeshttps://doi.org/10.1016/j.jss.2020.110567openalex-snapshot
Bug severity prediction using question-and-answer pairs from Stack Overflow
inferred← citeshttps://doi.org/10.1016/j.jss.2020.110572openalex-snapshot
Improving software bug-specific named entity recognition with deep neural network
inferred← citeshttps://doi.org/10.1016/j.jss.2021.111160openalex-snapshot
PRHAN: Automated Pull Request Description Generation Based on Hybrid Attention Network
inferred← citeshttps://doi.org/10.1016/j.jss.2022.111308openalex-snapshot
Wayback Machine: A tool to capture the evolutionary behavior of the bug reports and their triage process in open-source software systems
inferred← citeshttps://doi.org/10.1016/j.jss.2024.111961openalex-snapshot
An empirical assessment of different word embedding and deep learning models for bug assignment
inferred← citeshttps://doi.org/10.1109/access.2023.3279205openalex-snapshot
Improving Bug Severity Prediction With Domain-Specific Representation Learning
inferred← citeshttps://doi.org/10.1109/acit57182.2022.9994147openalex-snapshot
Ranking of Bug Reports into Findbug Categories using the BM25 Function
inferred← citeshttps://doi.org/10.1109/compsac48688.2020.0-152openalex-snapshot
Blocking Bug Prediction Based on XGBoost with Enhanced Features
inferred← citeshttps://doi.org/10.1109/compsac51774.2021.00114openalex-snapshot
Recommending Bug-fixing Comments from Issue Tracking Discussions in Support of Bug Repair
inferred← citeshttps://doi.org/10.1109/dsn.2018.00051openalex-snapshot
Localizing Function Errors in Mobile Apps with User Reviews
inferred← citeshttps://doi.org/10.1109/icaica52286.2021.9498236openalex-snapshot
Extracting features related to bug fixing time of bug reports by deep learning and gradient-based visualization
inferred← citeshttps://doi.org/10.1109/icse48619.2023.00060openalex-snapshot
RepresentThemAll: A Universal Learning Representation of Bug Reports
inferred← citeshttps://doi.org/10.1109/icssp.2019.00010openalex-snapshot
Key Features Recommendation to Improve Bug Reporting
inferred← citeshttps://doi.org/10.1109/icstcee49637.2020.9276756openalex-snapshot
Comparing Machine-Learning Algorithms for Anticipating the Severity and Non-Severity of a Surveyed Bug
inferred← citeshttps://doi.org/10.1109/issre.2017.24openalex-snapshot
Which Packages Would be Affected by This Bug Report?
inferred← citeshttps://doi.org/10.1109/issre5003.2020.00026openalex-snapshot
Deep Learning Based Valid Bug Reports Determination and Explanation
inferred← citeshttps://doi.org/10.1109/qrs-c55045.2021.00110openalex-snapshot
Improving Blocking Bug Pair Prediction via Hybrid Deep Learning
inferred← citeshttps://doi.org/10.1109/qrs.2019.00044openalex-snapshot
What are Good Discussions Within Bug Report Comments for Shortening Bug Fixing Time?
inferred← citeshttps://doi.org/10.1109/qrs54544.2021.00098openalex-snapshot
An Effective Crowdsourced Test Report Clustering Model Based on Sentence Embedding
inferred← citeshttps://doi.org/10.1109/tcss.2020.3017501openalex-snapshot
Automatic Bug Triage in Software Systems Using Graph Neighborhood Relations for Feature Augmentation
inferred← citeshttps://doi.org/10.1109/tse.2018.2864217openalex-snapshot
Chaff from the Wheat: Characterizing and Determining Valid Bug Reports
inferred← citeshttps://doi.org/10.1109/tse.2021.3092813openalex-snapshot
Including Everyone, Everywhere: Understanding Opportunities and Challenges of Geographic Gender-Inclusion in OSS
inferred← citeshttps://doi.org/10.1109/tse.2022.3178096openalex-snapshot
Towards Automatically Localizing Function Errors in Mobile Apps With User Reviews
inferred← citeshttps://doi.org/10.1145/3131704.3131721openalex-snapshot
Combining Collaborative Filtering and Topic Modeling for More Accurate Android Mobile App Library Recommendation
inferred← citeshttps://doi.org/10.1145/3338906.3338947openalex-snapshot
Assessing the quality of the steps to reproduce in bug reports
inferred← citeshttps://doi.org/10.1145/3368089.3417928openalex-snapshot
BEE: a tool for structuring and analyzing bug reports
inferred← citeshttps://doi.org/10.1145/3475716.3484193openalex-snapshot
Why Some Bug-bounty Vulnerability Reports are Invalid?
inferred← citeshttps://doi.org/10.1145/3691620.3695518openalex-snapshot
ChatBR: Automated assessment and improvement of bug report quality using ChatGPT
inferred← citeshttps://doi.org/10.1145/3756681.3756978openalex-snapshot
Understanding the Impact of Domain Term Explanation on Duplicate Bug Report Detection
inferred← citeshttps://doi.org/10.1587/transinf.2020mpp0007openalex-snapshot
What are the Features of Good Discussions for Shortening Bug Fixing Time?
inferred← citeshttps://doi.org/10.2139/ssrn.5338906openalex-snapshot
Exploiting Component Information with a Context-Based Language Model for Effective Bug Triage
inferred← citeshttps://doi.org/10.25124/ijies.v2i02.99openalex-snapshot
Proposed Determination of Product-Replenishment Policy on Multi-Source Problems to Minimize Over Stock in DC PT. XYZ Area Bandung With Mixed-Integer Programming Method
inferred← citeshttps://doi.org/10.25124/ijies.v5i02.99openalex-snapshot
Automated Event-Triggered GUI Testing and Bug Reproduction for Non-Android Applications
inferred← citeshttps://doi.org/10.53106/160792642022092305018openalex-snapshot
Hybrid Multiple Deep Learning Models to Boost Blocking Bug Prediction
inferred← citeshttps://doi.org/10.7717/peerj-cs.2111openalex-snapshot
Enhancing bug allocation in software development: a multi-criteria approach using fuzzy logic and evolutionary algorithms
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