Using bug descriptions to reformulate queries during text-retrieval-based bug localization

No abstract is available for this paper.

• Publication year

  2019

• Venue

  Empirical Software Engineering

• Publication date

  2019-01-11

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1007/s10664-018-9672-z
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Improving bug localization with word embedding and enhanced convolutional neural networks

  2019cited by this paper
• Are Bug Reports Enough for Text Retrieval-Based Bug Localization?

  2018cited by this paper
• Improving IR-based bug localization with context-aware query reformulation

  2018cited by this paper
• Evaluating How Developers Use General-Purpose Web-Search for Code Retrieval

  2018cited by this paper
• Network-Clustered Multi-Modal Bug Localization

  2018cited by this paper
• Analyzing Requirements and Traceability Information to Improve Bug Localization

  2018influential reference
• A Preliminary Study on Using Code Smells to Improve Bug Localization

  2018influential reference
• Bench4BL: reproducibility study on the performance of IR-based bug localization

  2018influential reference
• Impact of structural weighting on a latent Dirichlet allocation–based feature location technique

  2018cited by this paper
• Comparing learning to rank techniques in hybrid bug localization

  2018cited by this paper
• Detecting missing information in bug descriptions

  2017influential reference
• Tackling the term-mismatch problem in automated trace retrieval

  2017cited by this paper
• Predicting Query Quality for Applications of Text Retrieval to Software Engineering Tasks

  2017influential reference
• Using Observed Behavior to Reformulate Queries during Text Retrieval-based Bug Localization

  2017influential reference
• How Does Execution Information Help with Information-Retrieval Based Bug Localization?

  2017cited by this paper
• Exploiting spatial code proximity and order for improved source code retrieval for bug localization

  2017cited by this paper
• STRICT: Information retrieval based search term identification for concept location

  2017cited by this paper
• Design and evaluation of a multi-recommendation system for local code search

  2017cited by this paper
• Improving Bug Localization with an Enhanced Convolutional Neural Network

  2017cited by this paper
• Improved bug localization based on code change histories and bug reports

  2017cited by this paper
• Augmenting Bug Localization with Part-of-Speech and Invocation

  2017cited by this paper
• Improved query reformulation for concept location using CodeRank and document structures

  2017cited by this paper
• Query reformulation by leveraging crowd wisdom for scenario-based software search

  2016cited by this paper
• A field study of how developers locate features in source code

  2016cited by this paper
• Mapping Bug Reports to Relevant Files: A Ranking Model, a Fine-Grained Benchmark, and Feature Evaluation

  2016cited by this paper
• From Word Embeddings to Document Similarities for Improved Information Retrieval in Software Engineering

  2016cited by this paper
• Locating bugs without looking back

  2016cited by this paper
• Query Expansion Based on Crowd Knowledge for Code Search

  2016cited by this paper
• Locus: Locating bugs from software changes

  2016influential reference
• On the Reduction of Verbose Queries in Text Retrieval Based Software Maintenance

  2016influential reference
• Inferring Links between Concerns and Methods with Multi-abstraction Vector Space Model

  2016cited by this paper
• QUICKAR: Automatic query reformulation for concept location using crowdsourced knowledge

  2016cited by this paper
• AmaLgam+: Composing Rich Information Sources for Accurate Bug Localization

  2016cited by this paper
• CodeHow: Effective Code Search Based on API Understanding and Extended Boolean Model (E)

  2015cited by this paper
• StORMeD: Stack Overflow Ready Made Data

  2015cited by this paper
• Can the use of types and query expansion help improve large-scale code search?

  2015cited by this paper
• Information retrieval and spectrum based bug localization: better together

  2015cited by this paper
• Active code search: incorporating user feedback to improve code search relevance

  2014cited by this paper
• Defects4J: a database of existing faults to enable controlled testing studies for Java programs

  2014cited by this paper
• On the Use of Stack Traces to Improve Text Retrieval-Based Bug Localization

  2014influential reference
• What's in a bug report?

  2014cited by this paper
• The Stanford CoreNLP Natural Language Processing Toolkit

  2014cited by this paper
• NL-based query refinement and contextualized code search results: A user study

  2014cited by this paper
• Automatic search term identification for change tasks

  2014cited by this paper
• Predicting Effectiveness of IR-Based Bug Localization Techniques

  2014cited by this paper
• Version history, similar report, and structure: putting them together for improved bug localization

  2014influential reference
• Compositional Vector Space Models for Improved Bug Localization

  2014cited by this paper
• Boosting Bug-Report-Oriented Fault Localization with Segmentation and Stack-Trace Analysis

  2014influential reference
• Feature location in source code: a taxonomy and survey

  2013cited by this paper
• Improving bug localization using structured information retrieval

  2013influential reference
• Structural information based term weighting in text retrieval for feature location

  2013cited by this paper
• Assisting code search with automatic Query Reformulation for bug localization

  2013cited by this paper
• Automatic query reformulations for text retrieval in software engineering

  2013influential reference
• Learning effective query transformations for enhanced requirements trace retrieval

  2013cited by this paper
• CONQUER: A Tool for NL-Based Query Refinement and Contextualizing Code Search Results

  2013cited by this paper
• Incorporating version histories in Information Retrieval based bug localization

  2012influential reference
• Where should the bugs be fixed? More accurate information retrieval-based bug localization based on bug reports

  2012influential reference
• Using Bug Report Similarity to Enhance Bug Localisation

  2012influential reference
• Improving Bug Location Using Binary Class Relationships

  2012influential reference
• Information Retrieval Methods for Automated Traceability Recovery

  2012cited by this paper
• A Survey of Automatic Query Expansion in Information Retrieval

  2012cited by this paper
• Analyzing and mining a code search engine usage log

  2012cited by this paper
• How Well Do Search Engines Support Code Retrieval on the Web?

  2011cited by this paper
• A topic-based approach for narrowing the search space of buggy files from a bug report

  2011cited by this paper
• Retrieval from software libraries for bug localization: a comparative study of generic and composite text models

  2011cited by this paper
• Text Retrieval Approaches for Concept Location in Source Code

  2010influential reference
• Towards mining replacement queries for hard-to-retrieve traces

  2010cited by this paper
• Augmented bug localization using past bug information

  2010cited by this paper
• On the use of relevance feedback in IR-based concept location

  2009influential reference
• Searching and skimming: An exploratory study

  2009cited by this paper
• What Makes a Good Bug Report?

  2008cited by this paper
• Using natural language program analysis to locate and understand action-oriented concerns

  2007cited by this paper
• Lucene in Action

  2004cited by this paper
• An information retrieval approach to concept location in source code

  2004influential reference
• Qualitative Methods in Empirical Studies of Software Engineering

  1999cited by this paper
• An algorithm for suffix stripping

  1997cited by this paper
• Query Expansion/Reduction and its Impact on Retrieval Effectiveness

  1994cited by this paper
• A vector space model for automatic indexing

  1975cited by this paper

• Best practices for evaluating IRFL approaches

  2025cites this paper
• Generating Failure-Based Oracles to Support Testing of Reported Bugs in Android Apps

  2025cites this paper
• Detecting Duplicates in Bug Tracking Systems with Artificial Intelligence: A Combined Retrieval and Classification Approach

  2025cites this paper
• Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software

  2025cites this paper
• KBL: a golden keywords-based query reformulation approach for bug localization

  2025cites this paper
• LLM-BL: Large Language Models are Zero-Shot Rankers for Bug Localization

  2025cites this paper
• Decoding the Issue Resolution Process in Practice via Issue Report Analysis: a Case Study of Firefox

  2025cites this paper
• Combining Language and App Ui Analysis for the Automated Assessment of Bug Reproduction Steps

  2025cites this paper
• Toward the Automated Localization of Buggy Mobile App UIs from Bug Descriptions

  2024cites this paper
• Improving information retrieval bug localization with query reformulation and haar transform

  2024cites this paper
• IDL-LTSOJ: Research and implementation of an intelligent online judge system utilizing DNN for defect localization

  2024cites this paper
• KeyTitle: towards better bug report title generation by keywords planning

  2024cites this paper
• Improving the quality of software issue report descriptions in Turkish: An industrial case study at Softtech

  2024cites this paper
• Automated software bug localization enabled by meta-heuristic-based convolutional neural network and improved deep neural network

  2023cites this paper
• Leveraging multi-level embeddings for knowledge-aware bug report reformulation

  2023cites this paper
• A multi-model framework for semantically enhancing detection of quality-related bug report descriptions

  2023cites this paper
• Large-Scale Evaluation of Method-Level Bug Localization with FinerBench4BL

  2023cites this paper
• A Hypothesis Testing-based Framework for Software Cross-modal Retrieval in Heterogeneous Semantic Spaces

  2023cites this paper
• A Hierarchical Topical Modeling Approach for Recommending Repair of Quality Bugs

  2023cites this paper
• Recommending Bug Assignment Approaches for Individual Bug Reports: An Empirical Investigation

  2023cites this paper
• Automated Question Title Reformulation by Mining Modification Logs From Stack Overflow

  2023cites this paper
• On Using GUI Interaction Data to Improve Text Retrieval-Based Bug Localization

  2023cites this paper
• Information Retrieval-Based Fault Localization for Concurrent Programs

  2023cites this paper
• Capturing Contextual Relationships of Buggy Classes for Detecting Quality-Related Bugs

  2023cites this paper
• An empirical study of the effectiveness of IR-based bug localization for large-scale industrial projects

  2022cites this paper
• SemirFL: Boosting Fault Localization via Combining Semantic Information and Information Retrieval

  2022cites this paper
• How the Quality of Maintenance Tasks is Affected by Criteria for Selecting Engineers for Collaboration

  2022cites this paper
• How to formulate specific how-to questions in software development?

  2022cites this paper
• Automatically Capturing Quality-Related Concerns in Bug Report Descriptions for Efficient Bug Triaging

  2022cites this paper
• An approach of method-level bug localization

  2022cites this paper
• Retrieving Data Constraint Implementations Using Fine-Grained Code Patterns

  2022cites this paper
• On the classification of bug reports to improve bug localization

  2021cites this paper
• Laprob: A Label propagation-Based software bug localization method

  2021cites this paper
• Combining Query Reduction and Expansion for Text-Retrieval-Based Bug Localization

  2021influential citation
• ALBFL: A novel neural ranking model for software fault localization via combining static and dynamic features

  2021cites this paper
• An Extensive Study on Smell-Aware Bug Localization

  2021cites this paper
• An Effective Model to Predict the Extension of Code Changes in Bug Fixing Process Using Text Classifiers

  2021cites this paper
• Are datasets for information retrieval-based bug localization techniques trustworthy?

  2021cites this paper
• Constructing Bug Knowledge Graph as a Service for Bug Search

  2021cites this paper
• Can we use software bug reports to identify vulnerability discovery strategies?

  2020influential citation
• An Empirical Study on Critical Blocking Bugs

  2020cites this paper
• BuGL - A Cross-Language Dataset for Bug Localization

  2020cites this paper
• BEE: a tool for structuring and analyzing bug reports

  2020cites this paper
• ManQ: Many-objective optimization-based automatic query reduction for IR-based bug localization

  2020cites this paper
• DRAST - A Deep Learning and AST Based Approach for Bug Localization

  2020cites this paper
• ALBFL: A Novel Neural Ranking Model for Software Fault Localization via Combining Static and Dynamic Features

  2020cites this paper
• On the relationship between bug reports and queries for text retrieval-based bug localization

  2020influential citation