Pieces of contextual information suitable for predicting co-changes? An empirical study

Pieces of contextual information suitable for predicting co-changes? An empirical study

Models that predict software artifact co-changes have been proposed to assist developers in altering a software system and they often rely on coupling. However, developers have not yet widely adopted these approaches, presumably because of the high number of false recommendations. In this work, we c...

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Main Authors: WIESE, Igor Scaliante, KURODA, Rodrigo Takashi, STEINMACHER, Igor, OLIVA, Gustavo A., RÉ, Reginaldo, TREUDE, Christoph, GEROSA, Marco Aurélio
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2019
Subjects:
Co-change prediction
Logical coupling
Change coupling
Change propagation
Change impact analysis
Social factors
Contextual information
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/8795
https://ink.library.smu.edu.sg/context/sis_research/article/9798/viewcontent/sqj19.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/8795
https://ink.library.smu.edu.sg/context/sis_research/article/9798/viewcontent/sqj19.pdf

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