No Workflow: Capturing and analyzing provenance of scripts

Leonardo Murta; Vanessa Braganholo; Fernando Chirigati; David Koop; Juliana Freire

doi:10.1007/978-3-319-16462-5_6

No Workflow: Capturing and analyzing provenance of scripts

Leonardo Murta, Vanessa Braganholo, Fernando Chirigati, David Koop, Juliana Freire

Urban Initiative

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

Abstract

We propose noWorkflow, a tool that transparently captures provenance of scripts and enables reproducibility. Unlike existing approaches, noWorkflow is non-intrusive and does not require users to change the way they work – users need not wrap their experiments in scientific workflow systems, install version control systems, or instrument their scripts. The tool leverages Software Engineering techniques, such as abstract syntax tree analysis, reflection, and profiling, to collect different types of provenance, including detailed information about the underlying libraries. We describe how noWorkflow captures multiple kinds of provenance and the different classes of analyses it supports: graph-based visualization; differencing over provenance trails; and inference queries.

Original language	English (US)
Title of host publication	Provenance and Annotation of Data and Processes - 5th International Provenance and Annotation Workshop, IPAW 2014, Revised Selected Papers
Editors	Beth Plale, Bertram Ludäscher, Bertram Ludäscher
Publisher	Springer Verlag
Pages	71-83
Number of pages	13
ISBN (Electronic)	9783319164618
DOIs	https://doi.org/10.1007/978-3-319-16462-5_6
State	Published - 2015
Event	5th International Provenance and Annotation Workshop, IPAW 2014 - Cologne, Germany Duration: Jun 10 2014 → Jun 11 2014

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8628
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	5th International Provenance and Annotation Workshop, IPAW 2014
Country/Territory	Germany
City	Cologne
Period	6/10/14 → 6/11/14

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-319-16462-5_6

Cite this

Murta, L., Braganholo, V., Chirigati, F., Koop, D., & Freire, J. (2015). No Workflow: Capturing and analyzing provenance of scripts. In B. Plale, B. Ludäscher, & B. Ludäscher (Eds.), Provenance and Annotation of Data and Processes - 5th International Provenance and Annotation Workshop, IPAW 2014, Revised Selected Papers (pp. 71-83). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8628). Springer Verlag. https://doi.org/10.1007/978-3-319-16462-5_6

No Workflow: Capturing and analyzing provenance of scripts. / Murta, Leonardo; Braganholo, Vanessa; Chirigati, Fernando et al.
Provenance and Annotation of Data and Processes - 5th International Provenance and Annotation Workshop, IPAW 2014, Revised Selected Papers. ed. / Beth Plale; Bertram Ludäscher; Bertram Ludäscher. Springer Verlag, 2015. p. 71-83 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8628).

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

Murta, L, Braganholo, V, Chirigati, F, Koop, D & Freire, J 2015, No Workflow: Capturing and analyzing provenance of scripts. in B Plale, B Ludäscher & B Ludäscher (eds), Provenance and Annotation of Data and Processes - 5th International Provenance and Annotation Workshop, IPAW 2014, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8628, Springer Verlag, pp. 71-83, 5th International Provenance and Annotation Workshop, IPAW 2014, Cologne, Germany, 6/10/14. https://doi.org/10.1007/978-3-319-16462-5_6

Murta L, Braganholo V, Chirigati F, Koop D, Freire J. No Workflow: Capturing and analyzing provenance of scripts. In Plale B, Ludäscher B, Ludäscher B, editors, Provenance and Annotation of Data and Processes - 5th International Provenance and Annotation Workshop, IPAW 2014, Revised Selected Papers. Springer Verlag. 2015. p. 71-83. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-16462-5_6

Murta, Leonardo ; Braganholo, Vanessa ; Chirigati, Fernando et al. / No Workflow : Capturing and analyzing provenance of scripts. Provenance and Annotation of Data and Processes - 5th International Provenance and Annotation Workshop, IPAW 2014, Revised Selected Papers. editor / Beth Plale ; Bertram Ludäscher ; Bertram Ludäscher. Springer Verlag, 2015. pp. 71-83 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{af071c94f639496684e520981e2c0267,

title = "No Workflow: Capturing and analyzing provenance of scripts",

abstract = "We propose noWorkflow, a tool that transparently captures provenance of scripts and enables reproducibility. Unlike existing approaches, noWorkflow is non-intrusive and does not require users to change the way they work – users need not wrap their experiments in scientific workflow systems, install version control systems, or instrument their scripts. The tool leverages Software Engineering techniques, such as abstract syntax tree analysis, reflection, and profiling, to collect different types of provenance, including detailed information about the underlying libraries. We describe how noWorkflow captures multiple kinds of provenance and the different classes of analyses it supports: graph-based visualization; differencing over provenance trails; and inference queries.",

author = "Leonardo Murta and Vanessa Braganholo and Fernando Chirigati and David Koop and Juliana Freire",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 5th International Provenance and Annotation Workshop, IPAW 2014 ; Conference date: 10-06-2014 Through 11-06-2014",

year = "2015",

doi = "10.1007/978-3-319-16462-5_6",

language = "English (US)",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "71--83",

editor = "Beth Plale and Bertram Lud{\"a}scher and Bertram Lud{\"a}scher",

booktitle = "Provenance and Annotation of Data and Processes - 5th International Provenance and Annotation Workshop, IPAW 2014, Revised Selected Papers",

}

TY - GEN

T1 - No Workflow

T2 - 5th International Provenance and Annotation Workshop, IPAW 2014

AU - Murta, Leonardo

AU - Braganholo, Vanessa

AU - Chirigati, Fernando

AU - Koop, David

AU - Freire, Juliana

PY - 2015

Y1 - 2015

N2 - We propose noWorkflow, a tool that transparently captures provenance of scripts and enables reproducibility. Unlike existing approaches, noWorkflow is non-intrusive and does not require users to change the way they work – users need not wrap their experiments in scientific workflow systems, install version control systems, or instrument their scripts. The tool leverages Software Engineering techniques, such as abstract syntax tree analysis, reflection, and profiling, to collect different types of provenance, including detailed information about the underlying libraries. We describe how noWorkflow captures multiple kinds of provenance and the different classes of analyses it supports: graph-based visualization; differencing over provenance trails; and inference queries.

AB - We propose noWorkflow, a tool that transparently captures provenance of scripts and enables reproducibility. Unlike existing approaches, noWorkflow is non-intrusive and does not require users to change the way they work – users need not wrap their experiments in scientific workflow systems, install version control systems, or instrument their scripts. The tool leverages Software Engineering techniques, such as abstract syntax tree analysis, reflection, and profiling, to collect different types of provenance, including detailed information about the underlying libraries. We describe how noWorkflow captures multiple kinds of provenance and the different classes of analyses it supports: graph-based visualization; differencing over provenance trails; and inference queries.

UR - http://www.scopus.com/inward/record.url?scp=84928821658&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84928821658&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-16462-5_6

DO - 10.1007/978-3-319-16462-5_6

M3 - Conference contribution

AN - SCOPUS:84928821658

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 71

EP - 83

BT - Provenance and Annotation of Data and Processes - 5th International Provenance and Annotation Workshop, IPAW 2014, Revised Selected Papers

A2 - Plale, Beth

A2 - Ludäscher, Bertram

PB - Springer Verlag

Y2 - 10 June 2014 through 11 June 2014

ER -

No Workflow: Capturing and analyzing provenance of scripts

Abstract

Publication series

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this