research-article

VCS-analyzer for software evolution empirical analysis

Authors:

Francesca Arcelli,

Matteo Rolla,

Marco ZanoniAuthors Info & Claims

ESEM '14: Proceedings of the 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement

Article No.: 70, Page 1

https://doi.org/10.1145/2652524.2652599

Published: 18 September 2014 Publication History

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Abstract

Version Control Systems (VCSs) provide historical information that can be used to perform deep analyses on the evolution of a software project, with the aim of enhancing the quality of the system and predicting software evolution.

Cited By

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Mourya SSingh PSingh V(2024)An Insight into Code Smell Detection ToolReliability Engineering for Industrial Processes10.1007/978-3-031-55048-5_17(245-273)Online publication date: 23-Apr-2024
https://doi.org/10.1007/978-3-031-55048-5_17
Fernandes EOliveira JVale GPaiva TFigueiredo EBeecham SKitchenham BMacDonell S(2016)A review-based comparative study of bad smell detection toolsProceedings of the 20th International Conference on Evaluation and Assessment in Software Engineering10.1145/2915970.2915984(1-12)Online publication date: 1-Jun-2016
https://dl.acm.org/doi/10.1145/2915970.2915984
Arcelli Fontana FRolla MZanoni M(2014)Capturing Software Evolution and Change through Code Repository SmellsAgile Methods. Large-Scale Development, Refactoring, Testing, and Estimation10.1007/978-3-319-14358-3_13(148-165)Online publication date: 2014
https://doi.org/10.1007/978-3-319-14358-3_13

Index Terms

VCS-analyzer for software evolution empirical analysis
1. Software and its engineering
  1. Software creation and management
    1. Software post-development issues
      1. Software version control
  2. Software notations and tools
    1. Software configuration management and version control systems

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Information

Published In

ESEM '14: Proceedings of the 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement

September 2014

461 pages

ISBN:9781450327749

DOI:10.1145/2652524

General Chair:
Maurizio Morisio
Politecnico di Torino, Italy
,
Program Chairs:
Tore Dybå
Sintef, Norway
,
Marco Torchiano
Politecnico di Torino, Italy

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 September 2014

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Conference

ESEM '14

Sponsor:

SIGSOFT

ESEM '14: 2014 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement

September 18 - 19, 2014

Torino, Italy

Acceptance Rates

ESEM '14 Paper Acceptance Rate 23 of 123 submissions, 19%;

Overall Acceptance Rate 130 of 594 submissions, 22%

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Cited By

View all

Mourya SSingh PSingh V(2024)An Insight into Code Smell Detection ToolReliability Engineering for Industrial Processes10.1007/978-3-031-55048-5_17(245-273)Online publication date: 23-Apr-2024
https://doi.org/10.1007/978-3-031-55048-5_17
Fernandes EOliveira JVale GPaiva TFigueiredo EBeecham SKitchenham BMacDonell S(2016)A review-based comparative study of bad smell detection toolsProceedings of the 20th International Conference on Evaluation and Assessment in Software Engineering10.1145/2915970.2915984(1-12)Online publication date: 1-Jun-2016
https://dl.acm.org/doi/10.1145/2915970.2915984
Arcelli Fontana FRolla MZanoni M(2014)Capturing Software Evolution and Change through Code Repository SmellsAgile Methods. Large-Scale Development, Refactoring, Testing, and Estimation10.1007/978-3-319-14358-3_13(148-165)Online publication date: 2014
https://doi.org/10.1007/978-3-319-14358-3_13

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An architectural blueprint for a pluggable version control system for software (evolution) analysis

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