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Context- and Fairness-Aware In-Process Crowdworker 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/10.1007/s10664-015-9421-5openalex-snapshot
Learning to rank code examples for code search engines
inferredcites →https://doi.org/10.1007/s10664-017-9522-4openalex-snapshot
Identifying self-admitted technical debt in open source projects using text mining
inferredcites →https://doi.org/10.1007/s10664-018-9602-0openalex-snapshot
Early prediction of merged code changes to prioritize reviewing tasks
inferredcites →https://doi.org/10.1007/s10664-018-9618-5openalex-snapshot
Successes, challenges, and rethinking – an industrial investigation on crowdsourced mobile application testing
inferredcites →https://doi.org/10.1007/s10664-019-09696-8openalex-snapshot
Improving the pull requests review process using learning-to-rank algorithms
inferredcites →https://doi.org/10.1007/s10791-009-9112-1openalex-snapshot
Adapting boosting for information retrieval measures
inferredcites →https://doi.org/10.1016/0306-4573(83)90062-6openalex-snapshot
Introduction to modern information retrieval
inferredcites →https://doi.org/10.1016/j.infsof.2019.03.003openalex-snapshot
Images don’t lie: Duplicate crowdtesting reports detection with screenshot information
inferredcites →https://doi.org/10.1016/j.jss.2016.09.012openalex-snapshot
A context model for IDE-based recommendation systems
inferredcites →https://doi.org/10.1016/j.jss.2019.03.064openalex-snapshot
Employing rule mining and multi-objective search for dynamic test case prioritization
inferredcites →https://doi.org/10.1080/07370024.2020.1735391openalex-snapshot
Designing fair AI for managing employees in organizations: a review, critique, and design agenda
inferredcites →https://doi.org/10.1109/compsac.2016.101openalex-snapshot
DR_PSF: Enhancing Developer Recommendation by Leveraging Personalized Source-Code Files
inferredcites →https://doi.org/10.1109/compsac.2017.265openalex-snapshot
Who Should Be Selected to Perform a Task in Crowdsourced Testing?
inferredcites →https://doi.org/10.1109/csc.2013.23openalex-snapshot
Heterogeneous Network Analysis of Developer Contribution in Bug Repositories
inferredcites →https://doi.org/10.1109/esem.2013.24openalex-snapshot
DevNet: Exploring Developer Collaboration in Heterogeneous Networks of Bug Repositories
inferredcites →https://doi.org/10.1109/icse-nier.2019.00027openalex-snapshot
Beyond Integrated Development Environments: Adding Context to Software Development
inferredcites →https://doi.org/10.1109/icse-seip.2017.8openalex-snapshot
Domain Adaptation for Test Report Classification in Crowdsourced Testing
inferredcites →https://doi.org/10.1109/icse.2012.6227164openalex-snapshot
What make long term contributors: Willingness and opportunity in OSS community
inferredcites →https://doi.org/10.1109/icse.2015.139openalex-snapshot
Online Defect Prediction for Imbalanced Data
inferredcites →https://doi.org/10.1109/icse.2019.00027openalex-snapshot
Resource-Aware Program Analysis Via Online Abstraction Coarsening
inferredcites →https://doi.org/10.1109/icse.2019.00094openalex-snapshot
PIVOT: Learning API-Device Correlations to Facilitate Android Compatibility Issue Detection
inferredcites →https://doi.org/10.1109/icse.2019.00097openalex-snapshot
iSENSE: Completion-Aware Crowdtesting Management
inferredcites →https://doi.org/10.1109/icsm.2009.5306386openalex-snapshot
Expert recommendation with usage expertise
inferredcites →https://doi.org/10.1109/icsm.2010.5609736openalex-snapshot
Fine-grained incremental learning and multi-feature tossing graphs to improve bug triaging
inferredcites →https://doi.org/10.1109/icsme.2018.00090openalex-snapshot
Context-Aware Software Documentation
inferredcites →https://doi.org/10.1109/issre.2017.25openalex-snapshot
COCOON: Crowdsourced Testing Quality Maximization Under Context Coverage Constraint
inferredcites →https://doi.org/10.1109/ms.2013.67openalex-snapshot
Leveraging the Crowd: How 48,000 Users Helped Improve Lync Performance
inferredcites →https://doi.org/10.1109/msr.2009.5069491openalex-snapshot
Assigning bug reports using a vocabulary-based expertise model of developers
inferredcites →https://doi.org/10.1109/saner.2018.8330246openalex-snapshot
Generating descriptions for screenshots to assist crowdsourced testing
inferredcites →https://doi.org/10.1109/sose.2015.46openalex-snapshot
Developer Recommendation for Crowdsourced Software Development Tasks
inferredcites →https://doi.org/10.1109/tse.2015.2500238openalex-snapshot
Automatically Recommending Peer Reviewers in Modern Code Review
inferredcites →https://doi.org/10.1109/tse.2016.2576454openalex-snapshot
Improving Automated Bug Triaging with Specialized Topic Model
inferredcites →https://doi.org/10.1109/tse.2016.2584050openalex-snapshot
An Empirical Comparison of Model Validation Techniques for Defect Prediction Models
inferredcites →https://doi.org/10.1109/tse.2019.2918520openalex-snapshot
Characterizing Crowds to Better Optimize Worker Recommendation in Crowdsourced Testing
inferredcites →https://doi.org/10.1109/tsmc.1973.4309246openalex-snapshot
Bayes Decision Rules Based on Objective Priors
inferredcites →https://doi.org/10.1145/1134285.1134336openalex-snapshot
Who should fix this bug?
inferredcites →https://doi.org/10.1145/1454008.1454012openalex-snapshot
The long tail of recommender systems and how to leverage it
inferredcites →https://doi.org/10.1145/1595696.1595715openalex-snapshot
Improving bug triage with bug tossing graphs
inferredcites →https://doi.org/10.1145/1722149.1722154openalex-snapshot
From hits to niches?
inferredcites →https://doi.org/10.1145/2025113.2025163openalex-snapshot
Fuzzy set and cache-based approach for bug triaging
inferredcites →https://doi.org/10.1145/2187836.2187852openalex-snapshot
How effective is targeted advertising?
inferredcites →https://doi.org/10.1145/230538.230561openalex-snapshot
Bias in computer systems
inferredcites →https://doi.org/10.1145/2351676.2351697openalex-snapshot
Puzzle-based automatic testing: bringing humans into the loop by solving puzzles
inferredcites →https://doi.org/10.1145/2379776.2379787openalex-snapshot
Search-based software engineering
inferredcites →https://doi.org/10.1145/2393596.2393647openalex-snapshot
Who is going to mentor newcomers in open source projects?
inferredcites →https://doi.org/10.1145/2447976.2447990openalex-snapshot
Discrimination in online ad delivery
inferredcites →https://doi.org/10.1145/2652524.2652536openalex-snapshot
FixerCache
inferredcites →https://doi.org/10.1145/2771783.2771788openalex-snapshot
Empirical evaluation of pareto efficient multi-objective regression test case prioritisation
inferredcites →https://doi.org/10.1145/2786805.2786862openalex-snapshot
Test report prioritization to assist crowdsourced testing
inferredcites →https://doi.org/10.1145/2818052.2874338openalex-snapshot
GroupLink
inferredcites →https://doi.org/10.1145/2884781.2884880openalex-snapshot
A practical guide to select quality indicators for assessing pareto-based search algorithms in search-based software engineering
inferredcites →https://doi.org/10.1145/2897073.2897088openalex-snapshot
Reproducing context-sensitive crashes of mobile apps using crowdsourced monitoring
inferredcites →https://doi.org/10.1145/2939672.2945386openalex-snapshot
Algorithmic Bias
inferredcites →https://doi.org/10.1145/2961111.2962584openalex-snapshot
Towards Effectively Test Report Classification to Assist Crowdsourced Testing
inferredcites →https://doi.org/10.1145/2961111.2962594openalex-snapshot
Who Should Take This Task?
inferredcites →https://doi.org/10.1145/2970276.2970300openalex-snapshot
Local-based active classification of test report to assist crowdsourced testing
inferredcites →https://doi.org/10.1145/2970276.2970306openalex-snapshot
Automatically recommending code reviewers based on their expertise: an empirical comparison
inferredcites →https://doi.org/10.1145/2970276.2970367openalex-snapshot
Multi-objective test report prioritization using image understanding
inferredcites →https://doi.org/10.1145/2998181.2998259openalex-snapshot
Extracting Topics with Focused Communities for Social Content Recommendation
inferredcites →https://doi.org/10.1145/3077136.3080836openalex-snapshot
A Probabilistic Reformulation of Memory-Based Collaborative Filtering
inferredcites →https://doi.org/10.1145/3106164openalex-snapshot
Fuzzy Clustering of Crowdsourced Test Reports for Apps
inferredcites →https://doi.org/10.1145/3109859.3109912openalex-snapshot
Controlling Popularity Bias in Learning-to-Rank Recommendation
inferredcites →https://doi.org/10.1145/3184558.3191579openalex-snapshot
Crowdsourcing Multi-Objective Recommendation System*
inferredcites →https://doi.org/10.1145/3209978.3210063openalex-snapshot
Equity of Attention
inferredcites →https://doi.org/10.1145/3231934openalex-snapshot
Efficient Learning-Based Recommendation Algorithms for Top- N Tasks and Top- N Workers in Large-Scale Crowdsourcing Systems
inferredcites →https://doi.org/10.1145/3236024.3236050openalex-snapshot
Applications of psychological science for actionable analytics
inferredcites →https://doi.org/10.1145/3238147.3241987openalex-snapshot
The need for context in software engineering (IEEE CS Harlan Mills award keynote)
inferredcites →https://doi.org/10.1145/3292500.3330691openalex-snapshot
Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search
inferredcites →https://doi.org/10.1145/3293882openalex-snapshot
Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis
inferredcites →https://doi.org/10.1145/3377811.3380380openalex-snapshot
Context-aware in-process crowdworker recommendation
inferredcites →https://doi.org/10.1145/3383313.3418487openalex-snapshot
The Connection Between Popularity Bias, Calibration, and Fairness in Recommendation
inferredcites →https://doi.org/10.1145/3394486.3411068openalex-snapshot
The Dark Side of Machine Learning Algorithms
inferredcites →https://doi.org/10.1145/3397271.3401100openalex-snapshot
Controlling Fairness and Bias in Dynamic Learning-to-Rank
inferredcites →https://doi.org/10.1145/3412841.3442123openalex-snapshot
On mitigating popularity bias in recommendations via variational autoencoders
inferredcites →https://doi.org/10.1147/jrd.2019.2942287openalex-snapshot
AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias
inferredcites →https://doi.org/10.14778/3157794.3157805openalex-snapshot
Worker recommendation for crowdsourced Q&A services
inferredcites →https://doi.org/10.18293/seke2017-102openalex-snapshot
Multi-Objective Crowd Worker Selection in Crowdsourced Testing
inferredcites →https://doi.org/10.20982/tqmp.04.1.p013openalex-snapshot
The Mann-Whitney U: A Test for Assessing Whether Two Independent Samples Come from the Same Distribution
inferredcites →https://doi.org/10.24251/hicss.2018.700openalex-snapshot
Learn or Earn? - Intelligent Task Recommendation for Competitive Crowdsourced Software Development
inferredcites →https://doi.org/10.4324/9781315806730openalex-snapshot
Ordinal Methods for Behavioral Data Analysis

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.2640openalex-snapshot
GUI testing of Android applications: Investigating the impact of the number of testers on different exploratory testing strategies
inferred← citeshttps://doi.org/10.1007/978-981-92-0232-4_17openalex-snapshot
Unified Service Scheduling Framework for Intelligent Operations in Enterprise Middle Platform: Key Technologies and Implementation
inferred← citeshttps://doi.org/10.1007/978-981-96-3161-2_20openalex-snapshot
Android Crowdsourced Worker Portraits, A Quick Way to Understand Workers
inferred← citeshttps://doi.org/10.1007/s10270-025-01277-2openalex-snapshot
How fair are we? From conceptualization to automated assessment of fairness definitions
inferred← citeshttps://doi.org/10.1007/s10660-025-10008-0openalex-snapshot
Dynamic scheduling between testers and tasks in crowdtesting
inferred← citeshttps://doi.org/10.1007/s11257-024-09406-0openalex-snapshot
A survey on popularity bias in recommender systems
inferred← citeshttps://doi.org/10.1007/s11432-023-4127-5openalex-snapshot
Deep learning-based software engineering: progress, challenges, and opportunities
inferred← citeshttps://doi.org/10.1016/j.inffus.2023.101906openalex-snapshot
A survey on fairness-aware recommender systems
inferred← citeshttps://doi.org/10.1016/j.infsof.2023.107354openalex-snapshot
Why and how bug blocking relations are breakable: An empirical study on breakable blocking bugs
inferred← citeshttps://doi.org/10.1016/j.infsof.2025.107950openalex-snapshot
The Software Diversity Card: A framework for reporting diversity in software projects
inferred← citeshttps://doi.org/10.1016/j.neunet.2025.107443openalex-snapshot
PCDe: A personalized conversational debiasing framework for next POI recommendation with uncertain check-ins
inferred← citeshttps://doi.org/10.1108/jices-08-2022-0069openalex-snapshot
Addressing labour exploitation in the data science pipeline: views of precarious US-based crowdworkers on adversarial and co-operative interventions
inferred← citeshttps://doi.org/10.1109/access.2023.3292161openalex-snapshot
CsdRec: Accuracy and Diversity-Awared Team Recommendation for Collaborative Software Development
inferred← citeshttps://doi.org/10.1109/msr59073.2023.00016openalex-snapshot
Dealing with Popularity Bias in Recommender Systems for Third-party Libraries: How far Are We?
inferred← citeshttps://doi.org/10.1109/tbdata.2024.3372409openalex-snapshot
FAER: Fairness-Aware Event-Participant Recommendation in Event-Based Social Networks
inferred← citeshttps://doi.org/10.1145/3609437.3609462openalex-snapshot
Effective Recommendation of Cross-Project Correlated Issues based on Issue Metrics
inferred← citeshttps://doi.org/10.1145/3715111openalex-snapshot
Software Engineering by and for Humans in an AI Era
inferred← citeshttps://doi.org/10.1145/3730577openalex-snapshot
Less Is More: Feature Engineering for Fairness and Performance of Machine Learning Software
inferred← citeshttps://doi.org/10.1145/3762170openalex-snapshot
Software Fairness: An Analysis and Survey
inferred← citeshttps://doi.org/10.14569/ijacsa.2023.0140486openalex-snapshot
A Review of Trending Crowdsourcing Topics in Software Engineering Highlighting Mobile Crowdsourcing and AI Utilization
inferred← citeshttps://doi.org/10.3390/app14020489openalex-snapshot
Success Prediction of Crowdsourced Projects for Competitive Crowdsourced Software Development
inferred← citeshttps://doi.org/10.3390/computers13100266openalex-snapshot
Zero-Shot Learning for Accurate Project Duration Prediction in Crowdsourcing Software Development
inferred← citeshttps://doi.org/10.3390/electronics13214281openalex-snapshot
A Test Report Optimization Method Fusing Reinforcement Learning and Genetic Algorithms
inferred← citeshttps://doi.org/10.3390/sym16010080openalex-snapshot
Optimizing Prioritization of Crowdsourced Test Reports of Web Applications through Image-to-Text Conversion
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