dataWASHES - Towards an Application Programming Interface of WASHES proceedings data
Abstract
In recent years, there has been an increase in open science initiatives in Software Engineering research, highlighting the relevance of knowledge sharing. This paper embraces this scientific movement by introducing dataWASHES, an open source Application Programming Interface (API) that aims to facilitate streamlined programmatic access to the Workshop on Social, Human, and Economic Aspects of Software (WASHES) proceedings. By alleviating the manual data retrieval challenges and burden, dataWASHES seeks to foster collaboration and enhance research efficiency within the WASHES community. The paper delineates our API’s design, implementation, and impact on WASHES knowledge exchange. Our primary contribution lies in offering a systematic tool for accessing and analyzing WASHES proceedings data, with the potential to pave the way for other research communities that eventually share a similar interest.References
Fernández, D. M., Monperrus, M., Feldt, R., and Zimmermann, T. (2019). The open science initiative of the empirical software engineering journal. Empirical Software Engineering, 24:1057–1060.
Kags, A. (2023). Building community driven open infrastructure. In Open Infrastructure Fund/Fondo de Infraestructura Abierta.
Kuechler, B. and Vaishnavi, V. (2004). Design science research in information systems. Available at: [link].
Maedche, A., Elshan, E., Höhle, H., Lehrer, C., Recker, J., Sunyaev, A., Sturm, B., and Werth, O. (2024). Open science: Towards greater transparency and openness in science. Business & Information Systems Engineering, pages 1–16.
Mendez, D., Graziotin, D., Wagner, S., and Seibold, H. (2020). Open science in software engineering. Contemporary empirical methods in software engineering, pages 477–501.
Peffers, K., Tuunanen, T., Rothenberger, M. A., and Chatterjee, S. (2007). A design science research methodology for information systems research. Journal of management information systems, 24(3):45–77.
Runeson, P. and Höst, M. (2009). Guidelines for conducting and reporting case study research in software engineering. Empirical software engineering, 14:131–164.
Sellanga, J. (2023). Accelerating adoption and investment in open infrastructure worldwide through collaboration with networks. Invest in Open. Accessed: 2024-03-14.
UNESCO (2021). UNESCO Recommendation on Open Science. United Nations Educational, Scientific and Cultural Organization.
Kags, A. (2023). Building community driven open infrastructure. In Open Infrastructure Fund/Fondo de Infraestructura Abierta.
Kuechler, B. and Vaishnavi, V. (2004). Design science research in information systems. Available at: [link].
Maedche, A., Elshan, E., Höhle, H., Lehrer, C., Recker, J., Sunyaev, A., Sturm, B., and Werth, O. (2024). Open science: Towards greater transparency and openness in science. Business & Information Systems Engineering, pages 1–16.
Mendez, D., Graziotin, D., Wagner, S., and Seibold, H. (2020). Open science in software engineering. Contemporary empirical methods in software engineering, pages 477–501.
Peffers, K., Tuunanen, T., Rothenberger, M. A., and Chatterjee, S. (2007). A design science research methodology for information systems research. Journal of management information systems, 24(3):45–77.
Runeson, P. and Höst, M. (2009). Guidelines for conducting and reporting case study research in software engineering. Empirical software engineering, 14:131–164.
Sellanga, J. (2023). Accelerating adoption and investment in open infrastructure worldwide through collaboration with networks. Invest in Open. Accessed: 2024-03-14.
UNESCO (2021). UNESCO Recommendation on Open Science. United Nations Educational, Scientific and Cultural Organization.
Published
2024-07-21
How to Cite
ARAÚJO, Allysson Allex; FARIAS, Isaac; GONÇALVES, Victor; SANTOS, Rodrigo; VIANA, Davi; STEINMACHER, Igor.
dataWASHES - Towards an Application Programming Interface of WASHES proceedings data. In: PROCEEDINGS OF WORKSHOP ON SOCIAL, HUMAN AND ECONOMIC ASPECTS OF SOFTWARE (WASHES), 9. , 2024, Brasília/DF.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2024
.
p. 158-162.
ISSN 2763-874X.
DOI: https://doi.org/10.5753/washes.2024.2985.
