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Reis, J. P. dos., Brito e Abreu, F., Carneiro, G. de F. & Almeida, D. (2023). Scientific workflow management for software quality assessment replication: An open source architecture. In Fernandes, J. M., Travassos, G. H., Lenarduzzi, V., and Li, X. (Ed.), Quality of Information and Communications Technology. Communications in Computer and Information Science. (pp. 1-14). Aveiro, Portugal: Springer.

J. V. Reis et al.,  "Scientific workflow management for software quality assessment replication: An open source architecture", in Quality of Information and Communications Technology. Communications in Computer and Information Science, Fernandes, J. M., Travassos, G. H., Lenarduzzi, V., and Li, X., Ed., Aveiro, Portugal, Springer, 2023, vol. 1871, pp. 1-14

@inproceedings{reis2023_1734888218027,
	author = "Reis, J. P. dos. and Brito e Abreu, F. and Carneiro, G. de F. and Almeida, D.",
	title = "Scientific workflow management for software quality assessment replication: An open source architecture",
	booktitle = "Quality of Information and Communications Technology. Communications in Computer and Information Science",
	year = "2023",
	editor = "Fernandes, J. M., Travassos, G. H., Lenarduzzi, V., and Li, X.",
	volume = "1871",
	number = "",
	series = "",
	doi = "10.1007/978-3-031-43703-8_1",
	pages = "1-14",
	publisher = "Springer",
	address = "Aveiro, Portugal",
	organization = "",
	url = "https://link.springer.com/book/10.1007/978-3-031-43703-8"
}

TY  - CPAPER
TI  - Scientific workflow management for software quality assessment replication: An open source architecture
T2  - Quality of Information and Communications Technology. Communications in Computer and Information Science
VL  - 1871
AU  - Reis, J. P. dos.
AU  - Brito e Abreu, F.
AU  - Carneiro, G. de F.
AU  - Almeida, D.
PY  - 2023
SP  - 1-14
SN  - 1865-0929
DO  - 10.1007/978-3-031-43703-8_1
CY  - Aveiro, Portugal
UR  - https://link.springer.com/book/10.1007/978-3-031-43703-8
AB  - Replication of research experiments is important for establishing the validity and generalizability of findings, building a cumulative body of knowledge, and addressing issues of publication bias. The quest for replication led to the concept of scientific workflow, a structured and systematic process for carrying out research that defines a series of steps, methods, and tools needed to collect and analyze data, and generate results.

In this study, we propose a cloud-based framework built upon open source software, which facilitates the construction and execution of workflows for the replication/reproduction of software quality studies. To demonstrate its feasibility, we describe the replication of a software quality experiment on automatically detecting code smells with machine learning techniques.

The proposed framework can mitigate two types of validity threats in software quality experiments: (i) internal validity threats due to instrumentation, since the same measurement instruments can be used in replications, thus not affecting the validity of the results, and (ii) external validity threats due to reduced generalizability, since different researchers can more easily replicate experiments with different settings, populations, and contexts while reusing the same scientific workflow.
ER  -