Maintenance and evolution: GrimoireLab graal
Authors: 
W. Meijer, D. Visscher, E. de Haan, M. Schröder, L. Visscher, A. Capiluppi, I. BotezAuthors Info & Claims
Pages 732 - 734
Abstract
E-type open-source software inevitably grows in size and complexity over time, and without performing anti-regressive tasks this type of software has a limited lifespan. In this project, a case study of the effect of such anti-regressive tasks is conducted using Grimoire-Lab Graal as a subject. This process is guided by quality metrics and developer insights. The outcome of this work is a life-cycle of maintenance activities, ultimately resulting in a refactored version of GrimoireLab Graal. After applying anti-regressive actions, commonly used software quality metrics decreased (lower is better). Additionally, after performing an experiment to test the evolution readiness of the software, the complexity of the original software increased significantly, whilst no side effects were measured in the revised software.
References
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Valerio Cosentino, Santiago Duenas, Ahmed Zerouali, Gregorio Robles, and Jesús M González-Barahona. 2018. [Engineering Paper] Graal: The Quest for Source Code Knowledge. In 2018 IEEE 18th International Working Conference on Source Code Analysis and Manipulation (SCAM). IEEE, 123--128.
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Santiago Dueñas, Valerio Cosentino, Jesus M Gonzalez-Barahona, Alvaro del Castillo San Felix, Daniel Izquierdo-Cortazar, Luis Cañas-Díaz, and Alberto Pérez García-Plaza. 2021. GrimoireLab: A toolset for software development analytics. PeerJ Computer Science 7 (2021), e601.
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Index Terms
- Maintenance and evolution: GrimoireLab graal
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Information
Published In
May 2022
815 pages
ISBN:9781450393034
DOI:10.1145/3524842
- General Chair:
- David Lo,
- Program Chairs:
- Shane McIntosh,
- Nicole Novielli
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Published: 17 October 2022
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MSR '22: 19th International Conference on Mining Software Repositories
May 23 - 24, 2022
Pennsylvania, Pittsburgh
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