Using contextual information to predict co-changes

Using contextual information to predict co-changes

Background: Co-change prediction makes developers aware of which artifacts will change together with the artifact they are working on. In the past, researchers relied on structural analysis to build prediction models. More recently, hybrid approaches relying on historical information and textual ana...

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Main Authors: WIESE, Igor Scaliante, RÉ, Reginaldo, STEINMACHER, Igor, KURODA, Rodrigo Takashi, OLIVA, Gustavo A., TREUDE, Christoph, GEROSA, Marco Aurélio
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2017
Subjects:
Contextual information
Co-change prediction
Software change context
Change coupling
Change propagation
Change impact analysis
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/8798
https://ink.library.smu.edu.sg/context/sis_research/article/9801/viewcontent/jss17.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/8798
https://ink.library.smu.edu.sg/context/sis_research/article/9801/viewcontent/jss17.pdf

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