[{"department":[{"_id":"76"}],"user_id":"32312","_id":"52660","language":[{"iso":"eng"}],"keyword":["API misuses  API usage constraints","classification framework","API misuse detection","static analysis"],"publication":"Software Engineering 2023","type":"book_chapter","status":"public","abstract":[{"text":"Application Programming Interfaces (APIs) are the primary mechanism developers use to obtain access to third-party algorithms and services. Unfortunately, APIs can be misused, which can have catastrophic consequences, especially if the APIs provide security-critical functionalities like cryptography. Understanding what API misuses are, and how they are caused, is important to prevent them, eg, with API misuse detectors. However, definitions for API misuses and related terms in literature vary. This paper presents a systematic literature review to clarify these terms and introduces FUM, a novel Framework for API Usage constraint and Misuse classification. The literature review revealed that API misuses are violations of API usage constraints. To address this, we provide unified definitions and use them to derive FUM. To assess the extent to which FUM aids in determining and guiding the improvement of an API misuses detector’s capabilities, we performed a case study on the state-of the-art misuse detection tool CogniCrypt. The study showed that FUM can be used to properly assess CogniCrypt’s capabilities, identify weaknesses and assist in deriving mitigations and improvements.","lang":"eng"}],"date_created":"2024-03-20T09:22:27Z","author":[{"full_name":"Schlichtig, Michael","id":"32312","last_name":"Schlichtig","orcid":"0000-0001-6600-6171","first_name":"Michael"},{"full_name":"Sassalla, Steffen","last_name":"Sassalla","first_name":"Steffen"},{"full_name":"Narasimhan, Krishna","last_name":"Narasimhan","first_name":"Krishna"},{"orcid":"0000-0003-3470-3647","last_name":"Bodden","full_name":"Bodden, Eric","id":"59256","first_name":"Eric"}],"publisher":"Gesellschaft für Informatik e.V.","date_updated":"2024-03-20T09:25:46Z","main_file_link":[{"url":"https://dl.gi.de/items/c4825557-cf3d-4038-933a-d8f95fd324a2"}],"title":"Introducing FUM: A Framework for API Usage Constraint and Misuse Classification","publication_identifier":{"isbn":["978-3-88579-726-5"]},"page":"105–106","citation":{"bibtex":"@inbook{Schlichtig_Sassalla_Narasimhan_Bodden_2023, place={Bonn}, title={Introducing FUM: A Framework for API Usage Constraint and Misuse Classification}, booktitle={Software Engineering 2023}, publisher={Gesellschaft für Informatik e.V.}, author={Schlichtig, Michael and Sassalla, Steffen and Narasimhan, Krishna and Bodden, Eric}, year={2023}, pages={105–106} }","short":"M. Schlichtig, S. Sassalla, K. Narasimhan, E. Bodden, in: Software Engineering 2023, Gesellschaft für Informatik e.V., Bonn, 2023, pp. 105–106.","mla":"Schlichtig, Michael, et al. “Introducing FUM: A Framework for API Usage Constraint and Misuse Classification.” <i>Software Engineering 2023</i>, Gesellschaft für Informatik e.V., 2023, pp. 105–106.","apa":"Schlichtig, M., Sassalla, S., Narasimhan, K., &#38; Bodden, E. (2023). Introducing FUM: A Framework for API Usage Constraint and Misuse Classification. In <i>Software Engineering 2023</i> (pp. 105–106). Gesellschaft für Informatik e.V.","chicago":"Schlichtig, Michael, Steffen Sassalla, Krishna Narasimhan, and Eric Bodden. “Introducing FUM: A Framework for API Usage Constraint and Misuse Classification.” In <i>Software Engineering 2023</i>, 105–106. Bonn: Gesellschaft für Informatik e.V., 2023.","ieee":"M. Schlichtig, S. Sassalla, K. Narasimhan, and E. Bodden, “Introducing FUM: A Framework for API Usage Constraint and Misuse Classification,” in <i>Software Engineering 2023</i>, Bonn: Gesellschaft für Informatik e.V., 2023, pp. 105–106.","ama":"Schlichtig M, Sassalla S, Narasimhan K, Bodden E. Introducing FUM: A Framework for API Usage Constraint and Misuse Classification. In: <i>Software Engineering 2023</i>. Gesellschaft für Informatik e.V.; 2023:105–106."},"place":"Bonn","year":"2023"},{"quality_controlled":"1","related_material":{"link":[{"url":"https://ieeexplore.ieee.org/document/9825763","relation":"confirmation"}]},"year":"2022","citation":{"apa":"Schlichtig, M., Sassalla, S., Narasimhan, K., &#38; Bodden, E. (2022). FUM - A Framework for API Usage constraint and Misuse Classification. <i>2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)</i>, 673–684. <a href=\"https://doi.org/10.1109/SANER53432.2022.00085\">https://doi.org/10.1109/SANER53432.2022.00085</a>","mla":"Schlichtig, Michael, et al. “FUM - A Framework for API Usage Constraint and Misuse Classification.” <i>2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)</i>, 2022, pp. 673–84, doi:<a href=\"https://doi.org/10.1109/SANER53432.2022.00085\">https://doi.org/10.1109/SANER53432.2022.00085</a>.","bibtex":"@inproceedings{Schlichtig_Sassalla_Narasimhan_Bodden_2022, title={FUM - A Framework for API Usage constraint and Misuse Classification}, DOI={<a href=\"https://doi.org/10.1109/SANER53432.2022.00085\">https://doi.org/10.1109/SANER53432.2022.00085</a>}, booktitle={2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)}, author={Schlichtig, Michael and Sassalla, Steffen and Narasimhan, Krishna and Bodden, Eric}, year={2022}, pages={673–684} }","short":"M. Schlichtig, S. Sassalla, K. Narasimhan, E. Bodden, in: 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2022, pp. 673–684.","ieee":"M. Schlichtig, S. Sassalla, K. Narasimhan, and E. Bodden, “FUM - A Framework for API Usage constraint and Misuse Classification,” in <i>2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)</i>, 2022, pp. 673–684, doi: <a href=\"https://doi.org/10.1109/SANER53432.2022.00085\">https://doi.org/10.1109/SANER53432.2022.00085</a>.","chicago":"Schlichtig, Michael, Steffen Sassalla, Krishna Narasimhan, and Eric Bodden. “FUM - A Framework for API Usage Constraint and Misuse Classification.” In <i>2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)</i>, 673–84, 2022. <a href=\"https://doi.org/10.1109/SANER53432.2022.00085\">https://doi.org/10.1109/SANER53432.2022.00085</a>.","ama":"Schlichtig M, Sassalla S, Narasimhan K, Bodden E. FUM - A Framework for API Usage constraint and Misuse Classification. In: <i>2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)</i>. ; 2022:673-684. doi:<a href=\"https://doi.org/10.1109/SANER53432.2022.00085\">https://doi.org/10.1109/SANER53432.2022.00085</a>"},"page":"673 - 684","date_updated":"2022-07-26T11:42:30Z","author":[{"orcid":"0000-0001-6600-6171","last_name":"Schlichtig","id":"32312","full_name":"Schlichtig, Michael","first_name":"Michael"},{"full_name":"Sassalla, Steffen","last_name":"Sassalla","first_name":"Steffen"},{"first_name":"Krishna","full_name":"Narasimhan, Krishna","last_name":"Narasimhan"},{"last_name":"Bodden","orcid":"0000-0003-3470-3647","id":"59256","full_name":"Bodden, Eric","first_name":"Eric"}],"date_created":"2022-05-09T13:04:10Z","title":"FUM - A Framework for API Usage constraint and Misuse Classification","doi":"https://doi.org/10.1109/SANER53432.2022.00085","type":"conference","publication":"2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)","abstract":[{"lang":"eng","text":"Application Programming Interfaces (APIs) are the primary mechanism that developers use to obtain access to third-party algorithms and services. Unfortunately, APIs can be misused, which can have catastrophic consequences, especially if the APIs provide security-critical functionalities like cryptography. Understanding what API misuses are, and for what reasons they are caused, is important to prevent them, e.g., with API misuse detectors. However, definitions and nominations for API misuses and related terms in literature vary and are diverse. This paper addresses the problem of scattered knowledge and definitions of API misuses by presenting a systematic literature review on the subject and introducing FUM, a novel Framework for API Usage constraint and Misuse classification. The literature review revealed that API misuses are violations of API usage constraints. To capture this, we provide unified definitions and use them to derive FUM. To assess the extent to which FUM aids in determining and guiding the improvement of an API misuses detectors' capabilities, we performed a case study on CogniCrypt, a state-of-the-art misuse detector for cryptographic APIs. The study showed that FUM can be used to properly assess CogniCrypt's capabilities, identify weaknesses and assist in deriving mitigations and improvements. And it appears that also more generally FUM can aid the development and improvement of misuse detection tools."}],"status":"public","_id":"31133","user_id":"32312","department":[{"_id":"76"}],"keyword":["API misuses","API usage constraints","classification framework","API misuse detection","static analysis"],"language":[{"iso":"eng"}]}]