{"language":[{"iso":"eng"}],"issue":"5","date_updated":"2022-10-20T12:36:23Z","type":"journal_article","publication":"Empirical Software Engineering","page":"1–33","year":"2022","status":"public","intvolume":" 27","publisher":"Springer","author":[{"first_name":"Goran","orcid":"0000-0003-4424-5838","full_name":"Piskachev, Goran","id":"41936","last_name":"Piskachev"},{"last_name":"Späth","full_name":"Späth, Johannes","first_name":"Johannes"},{"last_name":"Budde","id":"13693","full_name":"Budde, Ingo","first_name":"Ingo","orcid":"https://orcid.org/0000-0003-0124-6291"},{"id":"59256","last_name":"Bodden","full_name":"Bodden, Eric","first_name":"Eric","orcid":"0000-0003-3470-3647"}],"volume":27,"title":"Fluently specifying taint-flow queries with fluentTQL","_id":"33836","department":[{"_id":"76"},{"_id":"662"}],"date_created":"2022-10-20T12:34:04Z","user_id":"15249","citation":{"apa":"Piskachev, G., Späth, J., Budde, I., & Bodden, E. (2022). Fluently specifying taint-flow queries with fluentTQL. Empirical Software Engineering, 27(5), 1–33.","short":"G. Piskachev, J. Späth, I. Budde, E. Bodden, Empirical Software Engineering 27 (2022) 1–33.","chicago":"Piskachev, Goran, Johannes Späth, Ingo Budde, and Eric Bodden. “Fluently Specifying Taint-Flow Queries with FluentTQL.” Empirical Software Engineering 27, no. 5 (2022): 1–33.","ieee":"G. Piskachev, J. Späth, I. Budde, and E. Bodden, “Fluently specifying taint-flow queries with fluentTQL,” Empirical Software Engineering, vol. 27, no. 5, pp. 1–33, 2022.","bibtex":"@article{Piskachev_Späth_Budde_Bodden_2022, title={Fluently specifying taint-flow queries with fluentTQL}, volume={27}, number={5}, journal={Empirical Software Engineering}, publisher={Springer}, author={Piskachev, Goran and Späth, Johannes and Budde, Ingo and Bodden, Eric}, year={2022}, pages={1–33} }","mla":"Piskachev, Goran, et al. “Fluently Specifying Taint-Flow Queries with FluentTQL.” Empirical Software Engineering, vol. 27, no. 5, Springer, 2022, pp. 1–33.","ama":"Piskachev G, Späth J, Budde I, Bodden E. Fluently specifying taint-flow queries with fluentTQL. Empirical Software Engineering. 2022;27(5):1–33."}}