Model-based security analysis of feature-oriented software product lines

Publikation: Konference artikel i Proceeding eller bog/rapport kapitelKonferencebidrag i proceedingsForskningpeer review

Abstract

Today's software systems are too complex to ensure security after the fact – security has to be built into systems by design. To this end, model-based techniques such as UMLsec support the design-time specification and analysis of security requirements by providing custom model annotations and checks. Yet, a particularly challenging type of complexity arises from the variability of software product lines. Analyzing the security of all products separately is generally infeasible. In this work, we propose SecPL, a methodology for ensuring security in a software product line. SecPL allows developers to annotate the system design model with product-line variability and security requirements. To keep the exponentially large configuration space tractable during security checks, SecPL provides a family-based security analysis. In our experiments, this analysis outperforms the naive strategy of checking all products individually. Finally, we present the results of a user study that indicates the usability of our overall methodology.
OriginalsprogEngelsk
TitelProceedings of the 17th ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences - GPCE 2018
UdgivelsesstedNew York, USA
ForlagAssociation for Computing Machinery
Publikationsdato2018
Sider93 - 106
ISBN (Trykt)9781450360456, 9781450360456
DOI
StatusUdgivet - 2018
Udgivet eksterntJa
BegivenhedInternational Conference on Generative Programming: Concepts and Experiences - Boston, USA
Varighed: 5 nov. 20186 nov. 2018
Konferencens nummer: 17
https://searchworks.stanford.edu/view/14195785

Konference

KonferenceInternational Conference on Generative Programming: Concepts and Experiences
Nummer17
Land/OmrådeUSA
ByBoston
Periode05/11/201806/11/2018
Internetadresse

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