APA (7th ed.) Citation

Dutta, S., Garbervetsky, D., Lahiri, S. K., & Schafer, M. (2022, May). InspectJS: Leveraging Code Similarity and User-Feedback for Effective Taint Specification Inference for JavaScript. 2022 IEEE/ACM 44th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP), 165-174. https://doi.org/10.1145/3510457.3513048

Chicago Style (17th ed.) Citation

Dutta, Saikat, Diego Garbervetsky, Shuvendu K. Lahiri, and Max Schafer. "InspectJS: Leveraging Code Similarity and User-Feedback for Effective Taint Specification Inference for JavaScript." 2022 IEEE/ACM 44th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP) May. 2022: 165-174. https://doi.org/10.1145/3510457.3513048.

MLA (9th ed.) Citation

Dutta, Saikat, et al. "InspectJS: Leveraging Code Similarity and User-Feedback for Effective Taint Specification Inference for JavaScript." 2022 IEEE/ACM 44th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP), May. 2022, pp. 165-174, https://doi.org/10.1145/3510457.3513048.