Experimental Evaluation of a Checklist-Based Inspection Technique to Verify the Compliance of Software Systems with the Brazilian General Data Protection Law
Diego Andr\'e Cerqueira, Rafael Maiani de Mello, Guilherme Horta, Travassos

TL;DR
This study evaluates the effectiveness of LGPDCheck, a checklist-based inspection technique, in verifying software compliance with Brazil's data protection law, comparing it to ad-hoc methods through controlled experiments.
Contribution
Introduces LGPDCheck, a novel checklist-based inspection method, and empirically assesses its performance against ad-hoc techniques for privacy compliance verification.
Findings
LGPDCheck improves defect detection accuracy.
LGPDCheck reduces review time compared to ad-hoc methods.
Participants showed higher effectiveness with LGPDCheck.
Abstract
Recent laws to ensure the security and protection of personal data establish new software requirements. Consequently, new technologies are needed to guarantee software quality under the perception of privacy and protection of personal data. Therefore, we created a checklist-based inspection technique (LGPDCheck) to support the identification of defects in software artifacts based on the principles established by the Brazilian General Data Protection Law (LGPD). Objective/Aim: To evaluate the effectiveness and efficiency of LGPDCheck for verifying privacy and data protection (PDP) in software artifacts compared to ad-hoc techniques. Method: To assess LGPDCheck and ad-hoc techniques experimentally through a quasi-experiment (two factors, five treatments). The data will be collected from IoT-based health software systems built by software engineering students from the Federal University of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsReliability and Agreement in Measurement · Imbalanced Data Classification Techniques · Software Reliability and Analysis Research
