Tracking and analyzing the evolution of provenance from scripts

João Felipe Pimentel; Juliana Freire; Vanessa Braganholo; Leonardo Murta

doi:10.1007/978-3-319-40593-3_2

Tracking and analyzing the evolution of provenance from scripts

João Felipe Pimentel, Juliana Freire, Vanessa Braganholo, Leonardo Murta

Urban Initiative

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Script languages are powerful tools for scientists. Scientists use them to process data, invoke programs, and link program outputs/inputs. During the life cycle of scientific experiments, scientists compose scripts, execute them, and perform analysis on the results. Depending on the results, they modify their script to get more data to confirm the original hypothesis or to test a new hypothesis, evolving the experiment. While some tools capture provenance from the execution of scripts, most approaches focus on a single execution, leaving out the possibility to analyze the provenance evolution of the experiment as a whole. This work enables tracking and analyzing the provenance evolution gathered from scripts. Tracking the provenance evolution also helps to reconstruct the environment of previous executions for reproduction. Provenance evolution analysis allows comparison of executions to understand what has changed and supports the decision of which execution provides better results.

Original language	English (US)
Title of host publication	Provenance and Annotation of Data and Processes - 6th International Provenance and Annotation Workshop, IPAW 2016, Proceedings
Editors	Boris Glavic, Marta Mattoso
Publisher	Springer Verlag
Pages	16-28
Number of pages	13
ISBN (Print)	9783319405926
DOIs	https://doi.org/10.1007/978-3-319-40593-3_2
State	Published - 2016
Event	6th International Provenance and Annotation Workshop, IPAW 2016 - McLean, United States Duration: Jun 7 2016 → Jun 8 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9672
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	6th International Provenance and Annotation Workshop, IPAW 2016
Country/Territory	United States
City	McLean
Period	6/7/16 → 6/8/16

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-319-40593-3_2

Cite this

Pimentel, J. F., Freire, J., Braganholo, V., & Murta, L. (2016). Tracking and analyzing the evolution of provenance from scripts. In B. Glavic, & M. Mattoso (Eds.), Provenance and Annotation of Data and Processes - 6th International Provenance and Annotation Workshop, IPAW 2016, Proceedings (pp. 16-28). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9672). Springer Verlag. https://doi.org/10.1007/978-3-319-40593-3_2

Tracking and analyzing the evolution of provenance from scripts. / Pimentel, João Felipe; Freire, Juliana; Braganholo, Vanessa et al.
Provenance and Annotation of Data and Processes - 6th International Provenance and Annotation Workshop, IPAW 2016, Proceedings. ed. / Boris Glavic; Marta Mattoso. Springer Verlag, 2016. p. 16-28 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9672).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Pimentel, JF, Freire, J, Braganholo, V & Murta, L 2016, Tracking and analyzing the evolution of provenance from scripts. in B Glavic & M Mattoso (eds), Provenance and Annotation of Data and Processes - 6th International Provenance and Annotation Workshop, IPAW 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9672, Springer Verlag, pp. 16-28, 6th International Provenance and Annotation Workshop, IPAW 2016, McLean, United States, 6/7/16. https://doi.org/10.1007/978-3-319-40593-3_2

Pimentel JF, Freire J, Braganholo V, Murta L. Tracking and analyzing the evolution of provenance from scripts. In Glavic B, Mattoso M, editors, Provenance and Annotation of Data and Processes - 6th International Provenance and Annotation Workshop, IPAW 2016, Proceedings. Springer Verlag. 2016. p. 16-28. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-40593-3_2

Pimentel, João Felipe ; Freire, Juliana ; Braganholo, Vanessa et al. / Tracking and analyzing the evolution of provenance from scripts. Provenance and Annotation of Data and Processes - 6th International Provenance and Annotation Workshop, IPAW 2016, Proceedings. editor / Boris Glavic ; Marta Mattoso. Springer Verlag, 2016. pp. 16-28 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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AB - Script languages are powerful tools for scientists. Scientists use them to process data, invoke programs, and link program outputs/inputs. During the life cycle of scientific experiments, scientists compose scripts, execute them, and perform analysis on the results. Depending on the results, they modify their script to get more data to confirm the original hypothesis or to test a new hypothesis, evolving the experiment. While some tools capture provenance from the execution of scripts, most approaches focus on a single execution, leaving out the possibility to analyze the provenance evolution of the experiment as a whole. This work enables tracking and analyzing the provenance evolution gathered from scripts. Tracking the provenance evolution also helps to reconstruct the environment of previous executions for reproduction. Provenance evolution analysis allows comparison of executions to understand what has changed and supports the decision of which execution provides better results.

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Tracking and analyzing the evolution of provenance from scripts

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