research-article

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

Authors:

Yguaratã Cerqueira Cavalcanti,

Ivan do Carmo Machado,

Paulo A. da Mota S. Neto,

Eduardo Santana de Almeida,

Silvio Romero de Lemos MeiraAuthors Info & Claims

ASE '14: Proceedings of the 29th ACM/IEEE International Conference on Automated Software Engineering

Pages 325 - 330

https://doi.org/10.1145/2642937.2642964

Published: 15 September 2014 Publication History

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Abstract

Change Requests (CRs) are key elements to software maintenance and evolution. Finding the appropriate developer to a CR is crucial for obtaining the lowest, economically feasible, fixing time. Nevertheless, assigning CRs is a labor-intensive and time consuming task. In this paper, we present a semi-automated CR assignment approach which combine rule-based and information retrieval techniques. The approach emphasizes the use of contextual information, essential to effective assignments, and puts the development team in control of the assignment rules, toward making its adoption easier. Results of an empirical evaluation showed that the approach is up to 46,5% more accurate than approaches which rely solely on machine learning techniques.

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Cited By

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Tamla PFreund FHemmje M(2021)Supporting Named Entity Recognition and Document Classification for Effective Text RetrievalThe Role of Gamification in Software Development Lifecycle10.5772/intechopen.95076Online publication date: 1-Sep-2021
https://doi.org/10.5772/intechopen.95076
Oliveira PAndrade RBarreto INogueira TMorais Bueno L(2021)Issue Auto-Assignment in Software Projects with Machine Learning Techniques2021 IEEE/ACM 8th International Workshop on Software Engineering Research and Industrial Practice (SER&IP)10.1109/SER-IP52554.2021.00018(65-72)Online publication date: Jun-2021
https://doi.org/10.1109/SER-IP52554.2021.00018
Sajedi‐Badashian AStroulia E(2021)Investigating the information value of different sources of evidence of developers’ expertise for bug assignment in open‐source projectsIET Software10.1049/iet-sen.2019.038414:7(748-758)Online publication date: 22-Jan-2021
https://doi.org/10.1049/iet-sen.2019.0384
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Index Terms

Combining rule-based and information retrieval techniques to assign software change requests
1. Social and professional topics
  1. Professional topics
    1. Management of computing and information systems
      1. Project and people management
      2. System management
        Quality assurance
2. Software and its engineering
  1. Software creation and management

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Information & Contributors

Information

Published In

ASE '14: Proceedings of the 29th ACM/IEEE International Conference on Automated Software Engineering

September 2014

934 pages

ISBN:9781450330138

DOI:10.1145/2642937

General Chair:
Ivica Crnkovic
Mälardalen University, Sweden
,
Program Chairs:
Marsha Chechik
University of Toronto, Canada
,
Paul Grünbacher
Johannes Kepler Universität Linz, Austria

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 September 2014

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ASE '14

Sponsor:

SIGAI
SIGSOFT
Mälardalen University

ASE '14: ACM/IEEE International Conference on Automated Software Engineering

September 15 - 19, 2014

Vasteras, Sweden

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ASE '14 Paper Acceptance Rate 82 of 337 submissions, 24%;

Overall Acceptance Rate 82 of 337 submissions, 24%

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Citations

Cited By

View all

Tamla PFreund FHemmje M(2021)Supporting Named Entity Recognition and Document Classification for Effective Text RetrievalThe Role of Gamification in Software Development Lifecycle10.5772/intechopen.95076Online publication date: 1-Sep-2021
https://doi.org/10.5772/intechopen.95076
Oliveira PAndrade RBarreto INogueira TMorais Bueno L(2021)Issue Auto-Assignment in Software Projects with Machine Learning Techniques2021 IEEE/ACM 8th International Workshop on Software Engineering Research and Industrial Practice (SER&IP)10.1109/SER-IP52554.2021.00018(65-72)Online publication date: Jun-2021
https://doi.org/10.1109/SER-IP52554.2021.00018
Sajedi‐Badashian AStroulia E(2021)Investigating the information value of different sources of evidence of developers’ expertise for bug assignment in open‐source projectsIET Software10.1049/iet-sen.2019.038414:7(748-758)Online publication date: 22-Jan-2021
https://doi.org/10.1049/iet-sen.2019.0384
Sajedi‐Badashian AStroulia E(2020)Vocabulary and time based bug‐assignment: A recommender system for open‐source projectsSoftware: Practice and Experience10.1002/spe.283050:8(1539-1564)Online publication date: 27-Apr-2020
https://doi.org/10.1002/spe.2830
Sajedi-Badashian AStroulia E(2020)Guidelines for evaluating bug-assignment researchJournal of Software: Evolution and Process10.1002/smr.2250(e2250)Online publication date: 3-Mar-2020
https://doi.org/10.1002/smr.2250
Pérez FFont JArcega LCetina C(2019)Collaborative feature location in models through automatic query expansionAutomated Software Engineering10.1007/s10515-019-00251-926:1(161-202)Online publication date: 1-Mar-2019
https://dl.acm.org/doi/10.1007/s10515-019-00251-9
Pérez FMarcén ALapeña RCetina C(2017)Introducing Collaboration for Locating Features in Models: Approach and Industrial EvaluationOn the Move to Meaningful Internet Systems. OTM 2017 Conferences10.1007/978-3-319-69462-7_9(114-131)Online publication date: 20-Oct-2017
https://doi.org/10.1007/978-3-319-69462-7_9
Lapeña RFont JPérez FCetina CMei H(2016)Improving feature location by transforming the query from natural language into requirementsProceedings of the 20th International Systems and Software Product Line Conference10.1145/2934466.2962732(362-369)Online publication date: 16-Sep-2016
https://dl.acm.org/doi/10.1145/2934466.2962732
Rubin JRinard MDillon LVisser WWilliams L(2016)The challenges of staying together while moving fastProceedings of the 38th International Conference on Software Engineering10.1145/2884781.2884871(982-993)Online publication date: 14-May-2016
https://dl.acm.org/doi/10.1145/2884781.2884871
Leano RWang ZSarma A(2016)Labeling relevant skills in tasks: Can the crowd help?2016 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)10.1109/VLHCC.2016.7739683(185-189)Online publication date: Sep-2016
https://doi.org/10.1109/VLHCC.2016.7739683
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Towards understanding software change request assignment: a survey with practitioners

Effective Bug Triage Based on Historical Bug-Fix Information

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