1 |
Allen, M. D., Chapman, A., Seligman, L., and Blaustein, B. (2011). Provenance for collaboration: Detecting suspicious behaviors and assessing trust in information. In International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom), pages 342–351. IEEE.
|
|
2 |
Almeida, R., Silva, W. M. C. D., Castro, K., Araújo, A. P. F. D., Walter, M. E. M. T.,
Lifschitz, S., and Holanda, M. (2019). Managing data provenance for bioinformatics
workflows using aprovbio. International Journal of Computational Biology and Drug
Design, 12(2):153–170.
|
|
3 |
Anuyah, S., Bolade, V., and Agbaakin, O. (2024). Understanding graph databases: a comprehensive
tutorial and survey. arXiv preprint arXiv:2411.09999.
|
|
4 |
Calabro, A., Daoudagh, S., Marchetti, E., Mayo, F., Marchiori, M., and Filipe, J. (2021).
Mentors: Monitoring environment for system of systems. In WEBIST, pages 291–298.
|
|
5 |
Cavalcante, E., Batista, T., and Oquendo, F. (2024). Looking back and forward: A retrospective
and future directions on software engineering for systems-of-systems. Journal of
Software: Evolution and Process, 36(10):e2697.
|
|
6 |
Chreim, A., Yiwen, C., Smahi, A., Jiang, J., and Merzouki, R. (2024). Towards supervision
of stochastic system of systems engineering: A multi-level hypergraph approach. IEEE
Access.
|
|
7 |
Curry, E., Scerri, S., and Tuikka, T. (2022). Data spaces: design, deployment and future
directions. Springer Nature.
|
|
8 |
Curry, E. and Sheth, A. (2018). Next-generation smart environments: From system of
systems to data ecosystems. IEEE Intelligent Systems, 33(3):69–76.
|
|
9 |
de Oliveira, W. M., de Oliveira, D., and Braganholo, V. (2018). Provenance analytics for
workflow-based computational experiments: A survey. ACM Comput. Surv., 51(3):1–25.
|
|
10 |
Fu, X., Wojak, A., Neagu, D., Ridley, M., and Travis, K. (2011). Data governance in
predictive toxicology: A review. Journal of cheminformatics, 3:1–16.
|
|
11 |
Gamma, E., Helm, R., Johnson, R., and Vlissides, J. (1995). Design patterns: elements of
reusable object-oriented software. Addison-Wesley Longman Publishing Co., Inc., USA.
|
|
12 |
Gammack, D., Scott, S., and Chapman, A. P. (2016). Modelling provenance collection
points and their impact on provenance graphs. In International Provenance and Annotation
Workshop (IPAW), pages 146–157. Springer.
|
|
13 |
Gil, Y. and Miles, S. (2013). Prov model primer. https://www.w3.org/TR/2013/
NOTE-prov-primer-20130430/.
|
|
14 |
Groth, P. and Moreau, L. (2013). Prov-overview. https://www.w3.org/submissions/2013/
SUBM-prov-json-20130424/.
|
|
15 |
Hasan, R., Sion, R., and Winslett, M. (2009). Preventing history forgery with secure provenance.
ACM Transactions on Storage (TOS), 5(4):1–43.
|
|
16 |
Herschel, M., Diestelkämper, R., and Ben Lahmar, H. (2017). A survey on provenance:
What for? what form? what from? VLDB J., 26(6):881–906.
|
|
17 |
Huynh, T. D., Jewell, M. O., Keshavarz, A. S., Michaelides, D. T., Yang, H., and Moreaun,
L. (2013). Prov-json serialization. https://www.w3.org/TR/prov-overview/.
|
|
18 |
Kiczales, G., Hilsdale, E., Hugunin, J., Kersten, M., Palm, J., and Griswold, W. G. (2001).
An overview of aspectj. In European Conference on Object-Oriented Programming
(ECOOP), pages 327–354. Springer.
|
|
19 |
Kong, S., Lu, M., Li, L., and Gao, L. (2020). Runtime monitoring of software execution
trace: Method and tools. IEEE Access, 8:114020–114036.
|
|
20 |
Kritzinger, L. M., Krismayer, T., Rabiser, R., and Grünbacher, P. (2019). A user study on the
usefulness of visualization support for requirements monitoring. In Working Conference
on Software Visualization (VISSOFT), pages 56–66. IEEE.
|
|
21 |
Lis, D. and Otto, B. (2020). Data governance in data ecosystems–insights from organizations.
In Americas Conference on Information Systems (AMCIS).
|
|
22 |
Magagna, B., Goldfarb, D., Martin, P., Atkinson, M., Koulouzis, S., and Zhao, Z. (2020).
Data provenance. In Towards Interoperable Research Infrastructures for Environmental
and Earth Sciences: A Reference Model Guided Approach for Common Challenges,
pages 208–225. Springer.
|
|
23 |
Maier, M.W. (1998). Architecting principles for systems-of-systems. Systems Engineering:
The Journal of the International Council on Systems Engineering, 1(4):267–284.
|
|
24 |
Moreau, L. (2013). Provtoolbox. java library to create and convert w3c prov data model
representations. https://lucmoreau.github.io/ProvToolbox/.
|
|
25 |
Moreau, L., Batlajery, B. V., Huynh, T. D., Michaelides, D., and Packer, H. (2017). A
templating system to generate provenance. IEEE Transactions on Software Engineering,
44(2):103–121.
|
|
26 |
Moreau, L. and Lebo, T. (2013). Prov-links. https://www.w3.org/TR/2013/
NOTE-prov-links-20130430/.
|
|
27 |
Moreau, L. and Missier, P. (2013). PROV-DM: The PROV Data Model. World Wide Web
Consortium, W3C.
|
|
28 |
Neo4j (2025). Neo4j graph database. https://neo4j.com/product/neo4j-graph-database. Accessado
em 12 Mar. 2025.
|
|
29 |
Simmhan, Y. L., Plale, B., and Gannon, D. (2005). A survey of data provenance in e-science.
SIGMOD Record, 34(3):31–36.
|
|
30 |
Singh, J., Cobbe, J., and Norval, C. (2019). Decision provenance: Harnessing data flow for
accountable systems. ieee access 7 (2019), 6562–6574.
|
|
31 |
Vierhauser, M., Rabiser, R., Grünbacher, P., Seyerlehner, K., Wallner, S., and Zeisel, H.
(2016). Reminds: A flexible runtime monitoring framework for systems of systems.
Journal of Systems and Software, 112:123–136.
|
|
32 |
Wercelens, P., da Silva, W., Hondo, F., Castro, K., Walter, M. E., Araújo, A., Lifschitz,
S., and Holanda, M. (2019). Bioinformatics workflows with nosql database in cloud
computing. Evolutionary Bioinformatics, 15:1176934319889974.
|
|
33 |
Zhao, J., Miles, A., Klyne, G., and Shotton, D. (2009). Linked data and provenance in
biological data webs. Briefings in bioinformatics, 10(2):139–152.
|
|