Reference : TUNA: TUning Naturalness-based Analysis

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/36136

Title :	TUNA: TUning Naturalness-based Analysis
Language :	English
Author, co-author :	Jimenez, Matthieu [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Cordy, Maxime [Facultés Universitaires Notre-Dame de la Paix - Namur - FUNDP]
	Le Traon, Yves [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
	Papadakis, Mike [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Computer Science and Communications Research Unit (CSC) >]
Publication date :	26-Sep-2018
Main document title :	34th IEEE International Conference on Software Maintenance and Evolution, Madrid, Spain, 26-28 September 2018
Peer reviewed :	Yes
On invitation :	No
Audience :	International
Event name :	34th IEEE International Conference on Software Maintenance and Evolution (ICSME'18)
Event date :	26-28 September 2018
Event place (city) :	Madrid
Event country :	Spain
Keywords :	[en] Artifact ; Naturalness ; Source Code Analysis
Abstract :	[en] Natural language processing techniques, in particular n-gram models, have been applied successfully to facilitate a number of software engineering tasks. However, in our related ICSME ’18 paper, we have shown that the conclusions of a study can drastically change with respect to how the code is tokenized and how the used n-gram model is parameterized. These choices are thus of utmost importance, and one must carefully make them. To show this and allow the community to benefit from our work, we have developed TUNA (TUning Naturalness-based Analysis), a Java software artifact to perform naturalness-based analyses of source code. To the best of our knowledge, TUNA is the first open- source, end-to-end toolchain to carry out source code analyses based on naturalness.
Research centres :	Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Security Design and Validation Research Group (SerVal)
Permalink :	http://hdl.handle.net/10993/36136

	File(s) associated to this reference
	Fulltext file(s): File Commentary Version Size Access Open access tuna2.pdf Author preprint 33.11 kB View/Open

All documents in ORBi^lu are protected by a user license.

 

University of Luxembourg Library |  Feedback |  Legal notices Site Map