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In our project Inverse Transparency, we research ways to securely track and make available information about data accesses to data owners. One approach to guarantee tamper-proof logging without necessitating trust in a central authority is using blockchain for storing the logs.... [mehr]

M.Schnappinger, A.Fietzke, A. Pretschner: Human-level Ordinal Maintainability Prediction Based on Static Code Metrics, Evaluation and Assessment in Software Engineering (EASE) 2021 [mehr]

Congratulations! [mehr]

Abstract [mehr]

Congratulations! [mehr]

Wir haben das für interessierte Laien einmal aufgeschrieben. [mehr]

Die Frankfurter Allgemeine Zeitung, eine der renommiertesten Zeitungen Deutschlands, berichtet über unser Forschungsprojekt Inverse Transparenz. Unter der Überschrift "Gute Daten, böse Daten" werden Gründe für die Erhebung von Arbeitnehmerdaten genannt, sowie das Zusammenspiel mit... [mehr]

GDPR-Compliant Use of Blockchain for Secure Usage Logs (V.Zieglmeier, G.Loyola Daiqui), EASE 2021: Evaluation and Assessment in Software Engineering

Check out our new paper at EASE'21 on Human-level Ordinal Maintainability Prediction Based on Static Code Metrics

Florian Hauer successfully defended his PhD thesis "On Scenario-Based Testing of Automated and Autonomous Driving Systems"

Informatik Spektrum: "Tests für automatisierte und autonome Fahrsysteme"

"Ethics in the Software Development Process: from Codes of Conduct to Ethical Deliberation" accepted in J. Philosophy&Technology

Mohsen Ahmadvand successfully defended his thesis on "Strengthened, Composable, and Quantifiable Software Integrity Protection"

Amjad Ibrahim successfully defended his thesis on "An Actual Causality Framework for Accountable Systems"!

Alei Salem successfully defended his thesis on "Accurate and Reliable Labeling for Effective Detection of Android Malware"

Was ist eigentlich Software?

"Gute Daten, böse Daten"- Die FAZ berichtet über unser Forschungsprojekt Inverse Transparenz