Article (Scientific journals)
Syntactic-Semantic Incrementality for Agile Verification
Bianculli, Domenico; Filieri, Antonio; Ghezzi, Carlo et al.
2015In Science of Computer Programming, 97 (0), p. 47-54
Peer Reviewed verified by ORBi
 

Files


Full Text
bfgm-scp2013.pdf
Author preprint (123.1 kB)
Download

All documents in ORBilu are protected by a user license.

Send to



Details



Abstract :
[en] Modern software systems are continuously evolving, often because systems requirements change over time. Responding to requirements changes is one of the principles of agile methodologies. In this paper we envision the seamless integration of automated verification techniques within agile methodologies, thanks to the support for incrementality. Incremental verification accommodates the changes that occur within the schedule of frequent releases of software agile processes. We propose a general approach to developing families of verifiers that can support incremental verification for different kinds of artifacts and properties. The proposed syntactic-semantic approach is rooted in operator precedence grammars and their support for incremental parsing. Incremental verification procedures are encoded as attribute grammars, whose incremental evaluation goes hand in hand with incremental parsing.
Research center :
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Software Verification and Validation Lab (SVV Lab)
Disciplines :
Computer science
Author, co-author :
Bianculli, Domenico  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Filieri, Antonio;  University of Stuttgart
Ghezzi, Carlo;  Politecnico di Milano
Mandrioli, Dino;  Politecnico di Milano
External co-authors :
yes
Language :
English
Title :
Syntactic-Semantic Incrementality for Agile Verification
Publication date :
January 2015
Journal title :
Science of Computer Programming
ISSN :
0167-6423
Publisher :
Elsevier Science
Volume :
97
Issue :
0
Pages :
47-54
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBilu :
since 12 November 2013

Statistics


Number of views
202 (34 by Unilu)
Number of downloads
197 (10 by Unilu)

Scopus citations®
 
10
Scopus citations®
without self-citations
3
OpenCitations
 
10
WoS citations
 
7

Bibliography


Similar publications



Contact ORBilu