Daniel Ott

发表

Tackling Semi-automatic Trace Recovery for Large Specifications

Jörg Leuser, Daniel Ott, 2010, REFSQ.

(Semi-) automatic Categorization of Natural Language Requirements

Eric Knauss, Daniel Ott, E. Knauss, 2014, REFSQ.

Review improvement by requirements classification at Mercedes-Benz: Limits of empirical studies in educational environments

Daniel Ott, Alexander Raschke, 2012, 2012 Second IEEE International Workshop on Empirical Requirements Engineering (EmpiRE).

Defects in natural language requirement specifications at Mercedes-Benz: An investigation using a combination of legacy data and expert opinion

Daniel Ott, 2012, 2012 20th IEEE International Requirements Engineering Conference (RE).

Simulating a virtual fisheye lens for the production of full-dome animations

Timothy A. Davis, Daniel Ott, 2007, ACM-SE 45.

Konzept Themenkarte zur Verbesserung von Reviews: Kategorisierung von Anforderungsdokumenten und mitgeltenden Unterlagen

Daniel Ott, 2012, Softwaretechnik-Trends.

Dialog mit Untertiteln

Daniel Ott, Manos Tsangaris, 2018 .

Evaluating benefits of requirement categorization in natural language specifications for review improvements

Daniel Ott, Alexander Raschke, Alexander Raschke, 2013 .

Automatic Requirement Classification: Tackling Inconsistencies Between Requirements and Regulations

Frank Houdek, Daniel Ott, 2014, Int. J. Semantic Comput..

Automatic Requirement Categorization of Large Natural Language Specifications at Mercedes-Benz for Review Improvements

Daniel Ott, Daniel Ott, 2013, REFSQ.

Klassifizierte Anforderungen zur Verbesserung von Reviews: Erste Erfahrungsberichte bei Anforderungsdokumenten von Mercedes Benz

Daniel Ott, 2013, Softwaretechnik-Trends.

Accuracy of the end-expiratory lung volume measured by the modified nitrogen washout/washin technique: a bench study

Daniel Ott, Matthias Haenggi, Joana Berger-Estilita, 2021, Journal of translational medicine.

Lung nodule detection by microdose CT versus chest radiography (standard and dual-energy subtracted).

Daniel Ott, Johannes T Heverhagen, Lukas Ebner, 2015, AJR. American journal of roentgenology.