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Predicting Query Quality for Applications of Text Retrieval to Software Engineering Tasks
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Information Retrieval Methods for Automated Traceability Recovery
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Topic Difficulty Prediction in Entity Ranking
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Text Retrieval Approaches for Concept Location in Source Code
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Analyzing and mining a code search engine usage log
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Configuring latent Dirichlet allocation based feature location
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Using structural and semantic measures to improve software modularization
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Applying a smoothing filter to improve IR-based traceability recovery processes: An empirical investigation
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Identifying Extract Class refactoring opportunities using structural and semantic cohesion measures
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Real life, real users, and real needs: a study and analysis of user queries on the web
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Statistical Power Analysis for the Behavioral Sciences
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Maintenance and Evolution: Information Retrieval Applications
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Case Study Research: Design and Methods
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Identification of high-level concept clones in source code
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A topic-based approach for narrowing the search space of buggy files from a bug report
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Querying source code with natural language
inferredcites →https://doi.org/10.1109/ase.2015.24openalex-snapshot
Learning to Rank for Question-Oriented Software Text Retrieval (T)
inferredcites →https://doi.org/10.1109/ase.2015.42openalex-snapshot
CodeHow: Effective Code Search Based on API Understanding and Extended Boolean Model (E)
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NL-based query refinement and contextualized code search results: A user study
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When and How Using Structural Information to Improve IR-Based Traceability Recovery
inferredcites →https://doi.org/10.1109/icpc.2008.14openalex-snapshot
Partial Domain Comprehension in Software Evolution and Maintenance
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Identifying Word Relations in Software: A Comparative Study of Semantic Similarity Tools
inferredcites →https://doi.org/10.1109/icpc.2010.20openalex-snapshot
On the Equivalence of Information Retrieval Methods for Automated Traceability Link Recovery
inferredcites →https://doi.org/10.1109/icpc.2013.6613840openalex-snapshot
Using code ownership to improve IR-based Traceability Link Recovery
inferredcites →https://doi.org/10.1109/icre.2003.1232745openalex-snapshot
Improving requirements tracing via information retrieval
inferredcites →https://doi.org/10.1109/icse.2003.1201194openalex-snapshot
Recovering documentation-to-source-code traceability links using latent semantic indexing
inferredcites →https://doi.org/10.1109/icse.2009.5070524openalex-snapshot
Automatically capturing source code context of NL-queries for software maintenance and reuse
inferredcites →https://doi.org/10.1109/icse.2012.6227101openalex-snapshot
Evaluating the specificity of text retrieval queries to support software engineering tasks
inferredcites →https://doi.org/10.1109/icse.2013.6606598openalex-snapshot
How to effectively use topic models for software engineering tasks? An approach based on Genetic Algorithms
inferredcites →https://doi.org/10.1109/icse.2013.6606630openalex-snapshot
Automatic query reformulations for text retrieval in software engineering
inferredcites →https://doi.org/10.1109/icse.2015.301openalex-snapshot
The Use of Text Retrieval and Natural Language Processing in Software Engineering
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Information retrieval models for recovering traceability links between code and documentation
inferredcites →https://doi.org/10.1109/icsm.2006.32openalex-snapshot
Incremental Approach and User Feedbacks: a Silver Bullet for Traceability Recovery
inferredcites →https://doi.org/10.1109/icsm.2006.67openalex-snapshot
The Conceptual Coupling Metrics for Object-Oriented Systems
inferredcites →https://doi.org/10.1109/icsm.2009.5306315openalex-snapshot
On the use of relevance feedback in IR-based concept location
inferredcites →https://doi.org/10.1109/icsm.2009.5306335openalex-snapshot
Searching and skimming: An exploratory study
inferredcites →https://doi.org/10.1109/icsm.2011.6080780openalex-snapshot
On integrating orthogonal information retrieval methods to improve traceability recovery
inferredcites →https://doi.org/10.1109/icsm.2013.84openalex-snapshot
CONQUER: A Tool for NL-Based Query Refinement and Contextualizing Code Search Results
inferredcites →https://doi.org/10.1109/icsme.2014.39openalex-snapshot
Compositional Vector Space Models for Improved Bug Localization
inferredcites →https://doi.org/10.1109/icsme.2014.68openalex-snapshot
Using Structured Queries for Source Code Search
inferredcites →https://doi.org/10.1109/icsme.2014.70openalex-snapshot
Learning to Rank Improves IR in SE
inferredcites →https://doi.org/10.1109/metrics.2005.28openalex-snapshot
Impact Analysis by Mining Software and Change Request Repositories
inferredcites →https://doi.org/10.1109/msr.2013.6624044openalex-snapshot
Assisting code search with automatic Query Reformulation for bug localization
inferredcites →https://doi.org/10.1109/re.2005.78openalex-snapshot
Utilizing supporting evidence to improve dynamic requirements traceability
inferredcites →https://doi.org/10.1109/re.2013.6636722openalex-snapshot
A review of traceability research at the requirements engineering conferencere@21
inferredcites →https://doi.org/10.1109/saner.2015.7081811openalex-snapshot
Understanding developers' natural language queries with interactive clarification
inferredcites →https://doi.org/10.1109/saner.2016.97openalex-snapshot
Parameterizing and Assembling IR-Based Solutions for SE Tasks Using Genetic Algorithms
inferredcites →https://doi.org/10.1109/scam.2015.7335400openalex-snapshot
Can the use of types and query expansion help improve large-scale code search?
inferredcites →https://doi.org/10.1109/tefse.2013.6620160openalex-snapshot
The role of artefact corpus in LSI-based traceability recovery
inferredcites →https://doi.org/10.1109/tse.2002.1041053openalex-snapshot
Recovering traceability links between code and documentation
inferredcites →https://doi.org/10.1109/tse.2006.3openalex-snapshot
Advancing candidate link generation for requirements tracing: the study of methods
inferredcites →https://doi.org/10.1109/tse.2007.70768openalex-snapshot
Using the Conceptual Cohesion of Classes for Fault Prediction in Object-Oriented Systems
inferredcites →https://doi.org/10.1109/tse.2013.27openalex-snapshot
The Impact of Classifier Configuration and Classifier Combination on Bug Localization
inferredcites →https://doi.org/10.1109/vlhcc.2014.6883025openalex-snapshot
How developers use multi-recommendation system in local code search
inferredcites →https://doi.org/10.1109/wcre.2004.10openalex-snapshot
An information retrieval approach to concept location in source code
inferredcites →https://doi.org/10.1142/9789812774460_0001openalex-snapshot
DISCOVERING, MODELING, AND RE-ENACTING OPEN SOURCE SOFTWARE DEVELOPMENT PROCESSES: A CASE STUDY
inferredcites →https://doi.org/10.1145/1067268.1067272openalex-snapshot
The TREC robust retrieval track
inferredcites →https://doi.org/10.1145/1076034.1076121openalex-snapshot
Learning to estimate query difficulty
inferredcites →https://doi.org/10.1145/1141277.1141693openalex-snapshot
Supporting change request assignment in open source development
inferredcites →https://doi.org/10.1145/1218563.1218587openalex-snapshot
Using natural language program analysis to locate and understand action-oriented concerns
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Recovering traceability links in software artifact management systems using information retrieval methods
inferredcites →https://doi.org/10.1145/1321631.1321667openalex-snapshot
Feature location via information retrieval based filtering of a single scenario execution trace
inferredcites →https://doi.org/10.1145/1368088.1368092openalex-snapshot
Answering conceptual queries with Ferret
inferredcites →https://doi.org/10.1145/1571941.1572038openalex-snapshot
Reducing long queries using query quality predictors
inferredcites →https://doi.org/10.1145/1806799.1806825openalex-snapshot
A machine learning approach for tracing regulatory codes to product specific requirements
inferredcites →https://doi.org/10.1145/1835449.1835626openalex-snapshot
Learning to rank query reformulations
inferredcites →https://doi.org/10.1145/1835449.1835683openalex-snapshot
Estimating the query difficulty for information retrieval
inferredcites →https://doi.org/10.1145/1858996.1859046openalex-snapshot
Towards mining replacement queries for hard-to-retrieve traces
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Retrieval from software libraries for bug localization
inferredcites →https://doi.org/10.1145/2000791.2000794openalex-snapshot
Reducing the effort of bug report triage
inferredcites →https://doi.org/10.1145/2009916.2010026openalex-snapshot
Automatic boolean query suggestion for professional search
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A network approach to probabilistic information retrieval
inferredcites →https://doi.org/10.1145/2351676.2351690openalex-snapshot
Automatic query performance assessment during the retrieval of software artifacts
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Improving trace accuracy through data-driven configuration and composition of tracing features
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Improving software modularization via automated analysis of latent topics and dependencies
inferredcites →https://doi.org/10.1145/2597073openalex-snapshot
Proceedings of the 11th Working Conference on Mining Software Repositories
inferredcites →https://doi.org/10.1145/2597073.2597087openalex-snapshot
Thesaurus-based automatic query expansion for interface-driven code search
inferredcites →https://doi.org/10.1145/2635868.2635870openalex-snapshot
Automatic generation of release notes
inferredcites →https://doi.org/10.1145/2635868.2635874openalex-snapshot
Learning to rank relevant files for bug reports using domain knowledge
inferredcites →https://doi.org/10.1145/2693208.2693222openalex-snapshot
Comparing Incremental Latent Semantic Analysis Algorithms for Efficient Retrieval from Software Libraries for Bug Localization
inferredcites →https://doi.org/10.1145/2786805.2786859openalex-snapshot
Query-based configuration of text retrieval solutions for software engineering tasks
inferredcites →https://doi.org/10.1145/2889160.2891053openalex-snapshot
The use of text retrieval and natural language processing in software engineering
inferredcites →https://doi.org/10.1145/2889160.2892647openalex-snapshot
On the reduction of verbose queries in text retrieval based software maintenance
inferredcites →https://doi.org/10.1145/32206.32212openalex-snapshot
The vocabulary problem in human-system communication
inferredcites →https://doi.org/10.1145/331403.331405openalex-snapshot
Analysis of a very large web search engine query log
inferredcites →https://doi.org/10.1613/jair.953openalex-snapshot
SMOTE: Synthetic Minority Over-sampling Technique
inferredcites →https://doi.org/10.2200/s00235ed1v01y201004icr015openalex-snapshot
Estimating the Query Difficulty for Information Retrieval
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Using bug descriptions to reformulate queries during text-retrieval-based bug localization
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An empirical assessment of baseline feature location techniques
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On the relationship between bug reports and queries for text retrieval-based bug localization
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The forgotten role of search queries in IR-based bug localization: an empirical study
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An empirical study of the effectiveness of IR-based bug localization for large-scale industrial projects
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Requirements traceability recovery for the purpose of software reuse: an interactive genetic algorithm approach
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ManQ: Many-objective optimization-based automatic query reduction for IR-based bug localization
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DigBug—Pre/post-processing operator selection for accurate bug localization
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Machine learning approaches for automated software traceability: A systematic literature review
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An Ontology-based Term Weighting Technique for Web Document Categorization
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Towards the automatic classification of traceability links
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The Impact of Features on Feature Location
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Query Quality Prediction on Source Code Base Dataset: A Comparative Study
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Using Observed Behavior to Reformulate Queries during Text Retrieval-based Bug Localization
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Automatic Traceability Maintenance via Machine Learning Classification
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Are Bug Reports Enough for Text Retrieval-Based Bug Localization?
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Tracing with Less Data: Active Learning for Classification-Based Traceability Link Recovery
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A Tag-based Recommender System for Regression Test Case Prioritization
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MLTracer: An Approach Based on Multi-Layered Gradient Boosting Decision Trees for Requirements Traceability Recovery
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Automatic Query Quality Prediction Using Feed Forward Neural Network
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Query Quality Prediction for Text Retrieval-based Bug Localization
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Combining Query Reduction and Expansion for Text-Retrieval-Based Bug Localization
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BoostNSift: A Query Boosting and Code Sifting Technique for Method Level Bug Localization
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The Effect of Feature Characteristics on the Performance of Feature Location Techniques
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Just-In-Time TODO-Missed Commits Detection
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Recovering Traceability Links Between Code and Documentation: A Retrospective
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Automating traceability link recovery through classification
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The State of Empirical Evaluation in Static Feature Location
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Experiences Building an Answer Bot for Gitter
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Predictive Models in Software Engineering: Challenges and Opportunities
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XCoS: Explainable Code Search Based on Query Scoping and Knowledge Graph
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A Systematic Review of Automated Query Reformulations in Source Code Search
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Improving the usability of faceted exploratory search tools
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Automatic traceability link recovery via active learning
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BoostNSift: A Query Boosting and Code Sifting Technique for Method Level Bug Localization
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Automatic Traceability Maintenance via Machine Learning Classification
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