Architecture Framework for Software Safety

Gurbuz, Havva Gulay; Er, Nagehan Pala; Tekinerdoğan, Bedir

doi:10.1007/978-3-319-11743-0_5

Cited by 3 publications

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Predicting Severity of Software Vulnerability Based on Grey System Theory

Geng

Luo

2015

Algorithms and Architectures for Parallel Processing

View full text Add to dashboard Cite

Abstract. Vulnerabilities usually represents the risk level of software, therefore, it is of high value to predict vulnerabilities so as to evaluate the security level of software. Current researches mainly focus on predicting the number of vulnerabilities or the occurrence time of vulnerabilities, however, to our best knowledge, there are no other researches focusing on the prediction of vulnerabilities' severity, which we think is an important aspect reflecting vulnerabilities and software security. To compensate for this deficiency, we propose a novel method based on grey system theory to predict the severity of vulnerabilities. The experiment is carried on the real data collected from CVE and proves the feasibility of our predicting method.

show abstract

Predicting Severity of Software Vulnerability Based on Grey System Theory

Geng

Luo

2015

Algorithms and Architectures for Parallel Processing

View full text Add to dashboard Cite

show abstract

Test suite assessment of safety-critical systems using safety tactics and fault-based mutation testing

Gurbuz,

Tekinerdogan,

Catal

et al. 2024

Cluster Comput

View full text Add to dashboard Cite

A safety-critical system is a system in which the software malfunctioning could result in death, injury, or damage to the environment. Addressing safety concerns early on at the architecture design level is critical to guide the subsequent life cycle activities to ensure that the eventual system is reliable. A fundamental approach to address safety at the design level is the adoption of architectural tactics. It is crucial for safety-critical systems to correctly implement the constraints as defined by the selected safety tactics. Given the limitations of traditional safety measures, particularly in conducting thorough analyses of safety tactics at the architectural design level, our motivation is to close this gap by integrating safety tactics and fault-based mutation testing. This article proposes a systematic approach for assessing the adequacy of test suites of safety-critical systems based on these architectural safety tactics. Our proposed approach involves the integration of safety tactics and fault-based mutation testing to comprehensively assess the adequacy of test suites in safety-critical systems. At the core of our methodology is the adoption of architectural safety tactics, addressing potential issues at the design level. We leverage fault-based testing, utilizing a dedicated metamodel and domain-specific language (DSL) to model safety views and their relation to the code. We use a case study to evaluate the effectiveness of our approach using fault-injection techniques. Our study shows that this systematic approach is feasible and effective for test suite assessment of safety-critical systems.

show abstract

Forecasting severity of software vulnerability using grey model GM(1,1)

Geng

Luo³

2015

2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)

View full text Add to dashboard Cite

Architecture Framework for Software Safety

Cited by 3 publications

References 7 publications

Predicting Severity of Software Vulnerability Based on Grey System Theory

Predicting Severity of Software Vulnerability Based on Grey System Theory

Test suite assessment of safety-critical systems using safety tactics and fault-based mutation testing

Forecasting severity of software vulnerability using grey model GM(1,1)

Contact Info

Product

Resources

About