Extraction of ABNF Rules from RFCs to Enable Automated Test Data Generation - Security and Privacy Protection in Information Processing Systems Access content directly
Conference Papers Year : 2013

Extraction of ABNF Rules from RFCs to Enable Automated Test Data Generation

Markus Gruber
  • Function : Author
  • PersonId : 1001139
Phillip Wieser
  • Function : Author
  • PersonId : 1001140
Stefan Nachtnebel
  • Function : Author
  • PersonId : 1001141
Christian Schanes
  • Function : Author
  • PersonId : 1001142
Thomas Grechenig
  • Function : Author
  • PersonId : 1001143

Abstract

The complexity of IT systems and the criticality of robust IT systems is constantly increasing. Testing a system requires consideration of different protocols and interfaces, which makes testing hard and expensive. Test automation is required to improve the quality of systems without cost explosion. Many standards like HTML and FTP are semi–formally defined in RFCs, which makes a generic algorithm for test data generation based on RFC relevant. The proposed approach makes it possible to automatically generate test data for protocols defined as ABNF in RFCs for robustness tests. The introduced approach was shown in practice by generating SIP messages based on the RFC specification of SIP. This approach shows the possibility to generate data for any RFC that uses ABNF, and provides a solid foundation for further empirical evaluation and extension for software testing purposes.
Fichier principal
Vignette du fichier
978-3-642-39218-4_9_Chapter.pdf (457.38 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01463849 , version 1 (09-02-2017)

Licence

Attribution

Identifiers

Cite

Markus Gruber, Phillip Wieser, Stefan Nachtnebel, Christian Schanes, Thomas Grechenig. Extraction of ABNF Rules from RFCs to Enable Automated Test Data Generation. 28th Security and Privacy Protection in Information Processing Systems (SEC), Jul 2013, Auckland, New Zealand. pp.111-124, ⟨10.1007/978-3-642-39218-4_9⟩. ⟨hal-01463849⟩
120 View
666 Download

Altmetric

Share

Gmail Facebook X LinkedIn More