Combining rule-based and information retrieval techniques to assign software change requests

No abstract is available for this paper.

• Publication year

  2014

• Venue

  International Conference on Automated Software Engineering

• Publication date

  2014-09-15

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1145/2642937.2642964
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Challenges and opportunities for software change request repositories: a systematic mapping study

  2014influential reference
• Towards understanding software change request assignment: a survey with practitioners

  2013influential reference
• Triaging incoming change requests: Bug or commit history, or code authorship?

  2012cited by this paper
• Selecting discriminating terms for bug assignment: a formal analysis

  2011cited by this paper
• Communication, collaboration, and bugs: the social nature of issue tracking in small, collocated teams

  2010cited by this paper
• Assigning bug reports using a vocabulary-based expertise model of developers

  2009cited by this paper
• Optimized assignment of developers for fixing bugs an initial evaluation for eclipse projects

  2009cited by this paper
• Automatic Software Bug Triage System (BTS) Based on Latent Semantic Indexing and Support Vector Machine

  2009cited by this paper
• An empirical study on bug assignment automation using Chinese bug data

  2009cited by this paper
• Supporting change request assignment in open source development

  2006cited by this paper
• Who should fix this bug?

  2006influential reference
• An approach to classify software maintenance requests

  2002cited by this paper
• Journal of Software Maintenance and Evolution: Research and Practice Assigning Change Requests to Software Developers

  year unknowncited by this paper

• Issue Auto-Assignment in Software Projects with Machine Learning Techniques

  2021cites this paper
• Supporting Named Entity Recognition and Document Classification for Effective Text Retrieval

  2021cites this paper
• Investigating the information value of different sources of evidence of developers' expertise for bug assignment in open-source projects

  2020cites this paper
• Guidelines for evaluating bug‐assignment research

  2020cites this paper
• Supporting Named Entity Recognition and Document Classification in a Knowledge Management System for Applied Gaming

  2020cites this paper
• Vocabulary and time based bug‐assignment: A recommender system for open‐source projects

  2020cites this paper
• Collaborative feature location in models through automatic query expansion

  2019cites this paper
• Automatic query reformulations for feature location in a model-based family of software products

  2018cites this paper
• Introducing Collaboration for Locating Features in Models: Approach and Industrial Evaluation

  2017cites this paper
• Location of Features as Model Fragments and their Co-Evolution

  2017cites this paper
• Improving feature location in long-living model-based product families designed with sustainability goals

  2017cites this paper
• Towards semi-automated assignment of software change requests

  2016cites this paper
• The Challenges of Staying Together While Moving Fast: An Exploratory Study

  2016cites this paper
• Improving feature location by transforming the query from natural language into requirements

  2016cites this paper
• Labeling relevant skills in tasks: Can the crowd help?

  2016cites this paper
• Learning to Rank for Question-Oriented Software Text Retrieval (T)

  2015cites this paper