Security risk analysis (SRA) is a key activity in software engineering but requires heavy manual effort. Community knowledge in the form of security patterns or security catalogs can be used to support the identification of threats and security controls. However, no evidence-based theory exists about the effectiveness of security catalogs when used for security risk analysis. We adopt a grounded theory approach to propose a conceptual, revised and refined theory of SRA knowledge reuse. The theory refinement is backed by evidence gathered from conducting interviews with experts (20) and controlled experiments with both experts (15) and novice analysts (18). We conclude the paper by providing insights into the use of catalogs and managerial implications.
A new, evidence-based, theory for knowledge reuse in security risk analysis / Labunets, K.; Massacci, F.; Paci, F.; Tuma, K.. - In: EMPIRICAL SOFTWARE ENGINEERING. - ISSN 1382-3256. - 28:4(2023). [10.1007/s10664-023-10321-y]
A new, evidence-based, theory for knowledge reuse in security risk analysis
Labunets K.;Massacci F.
Co-primo
;Paci F.;
2023-01-01
Abstract
Security risk analysis (SRA) is a key activity in software engineering but requires heavy manual effort. Community knowledge in the form of security patterns or security catalogs can be used to support the identification of threats and security controls. However, no evidence-based theory exists about the effectiveness of security catalogs when used for security risk analysis. We adopt a grounded theory approach to propose a conceptual, revised and refined theory of SRA knowledge reuse. The theory refinement is backed by evidence gathered from conducting interviews with experts (20) and controlled experiments with both experts (15) and novice analysts (18). We conclude the paper by providing insights into the use of catalogs and managerial implications.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione