Deutsch

Pradel, Michael ; Sen, Koushik (2017)
Deep Learning to Find Bugs.
Report, Bibliographie

Bavishi, Rohan ; Pradel, Michael ; Sen, Koushik (2017)
Context2Name: A Deep Learning-Based Approach to Infer Natural Variable Names from Usage Contexts.
Report, Bibliographie

Staicu, Cristian-Alexandru ; Pradel, Michael (2017)
Freezing the Web: A Study of ReDoS Vulnerabilities in JavaScript-based Web Servers.
Artikel, Bibliographie

Englisch

Habib, Andrew (2021)
Learning to Find Bugs in Programs and their Documentation.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00017377
Dissertation, Erstveröffentlichung, Verlagsversion

Staicu, Cristian-Alexandru (2020)
Enhancing the Security and Privacy of Full-Stack JavaScript Web Applications.
Technische Universität Darmstadt
doi: 10.25534/tuprints-00011808
Dissertation, Erstveröffentlichung

Selakovic, Marija (2019)
Actionable Program Analyses for Improving Software Performance.
Technische Universität Darmstadt
Dissertation, Erstveröffentlichung

Staicu, Cristian-Alexandru ; Pradel, Michael ; Livshits, Benjamin (2016)
Understanding and Automatically Preventing Injection Attacks on Node.js.
Report, Bibliographie

Patra, Jibesh ; Pradel, Michael (2016)
Learning to Fuzz: Application-Independent Fuzz Testing with Probabilistic, Generative Models of Input Data.
Report, Bibliographie