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Title:
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VALIDITY CHECKING OF PROVENANCE DATA
FROM SOFTWARE DEVELOPMENT PROCESSES |
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Author(s):
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Marcela Gomes Pinheiro and Gabriella Castro Barbosa Costa |
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ISBN:
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978-989-8704-34-4 |
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Editors:
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Pedro Isaías and Hans Weghorn |
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Year:
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2021 |
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Edition:
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Single |
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Type:
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Full |
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First Page:
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237 |
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Last Page:
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240 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Provenance refers to the origin of data, in other words, a historical record of data. After capturing provenance, it is
possible to perform interpretation and analysis of what occurred during the process of data creation and transformation
and a diagnosis of the problems that may have occurred during these processes is provided. Among the problems related
to the use of data provenance in software development processes there is a definition of how comprehensive the data
should be captured and the procedure that should be used for this capture, including checking if the captured provenance
data is valid. Considering the definition of the data that should be captured, some provenance models are proposed in
literature. As examples, we can cite the PROV model, which can be used to enable the inter-operable interchange of
provenance information in heterogeneous environments such as the Web, and PROV-SwProcess model, developed as an
extension of the PROV model to capture provenance data from software development processes. This paper briefly
details a work in progress about the procedure for capturing provenance data from the software development process,
mostly regarding the validity checking of the captured data, using a tool called ProvValidator. In the end, an example
composed of a set of data from a software development process is checked through the validation proposal presented in
this work. |
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