Topic: Specifications
Published:
2023
- DetailsCampanile, L., Di Bonito, L. P., Gribaudo, M., & Iacono, M. (2023). A Domain Specific Language for the Design of Artificial Intelligence Applications for Process Engineering [Conference paper]. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 482 LNICST, 133–146. https://doi.org/10.1007/978-3-031-31234-2_8
Abstract
Processes in chemical engineering are frequently enacted by one-of-a-kind devices that implement dynamic processes with feedback regulations designed according to experimental studies and empirical tuning of new devices after the experience obtained on similar setups. While application of artificial intelligence based solutions is largely advocated by researchers in several fields of chemical engineering to face the problems deriving from these practices, few actual cases exist in literature and in industrial plants that leverage currently available tools as much as other application fields suggest. One of the factors that is limiting the spread of AI-based solutions in the field is the lack of tools that support the evaluation of the needs of plants, be those existing or to-be settlements. In this paper we provide a Domain Specific Language based approach for the evaluation of the basic performance requirements for cloud-based setups capable of supporting chemical engineering plants, with a metaphor that attempts to bridge the two worlds. © 2023, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. - DetailsConference Merging Model-Based and Data-Driven Approaches for Resilient Systems Digital Twins DesignCampanile, L., De Biase, M. S., De Fazio, R., Di Giovanni, M., Marulli, F., & Verde, L. (2023). Merging Model-Based and Data-Driven Approaches for Resilient Systems Digital Twins Design [Conference paper]. Proceedings of the 2023 IEEE International Conference on Cyber Security and Resilience, CSR 2023, 301–306. https://doi.org/10.1109/CSR57506.2023.10224945
Abstract
Nowadays, the problem of system robustness, es-pecially in critical infrastructures, is a challenging open question. Some systems provide crucial services continuously failing, threatening the availability of the provided services. By designing a robust architecture, this criticality could be overcome or limited, ensuring service continuity. The definition of a resilient system involves not only its architecture but also the methodology implemented for the calculation and analysis of some indices, quantifying system performance. This study provides an innovative architecture for Digital Twins implementation based on a hybrid methodology for improving the control system in realtime. The introduced approach brings together different techniques. In particular, the work combines the point of strengths of Model-based methods and Data-driven ones, aiming to improve system performances. © 2023 IEEE.
2022
- DetailsCampanile, L., Iacono, M., & Mastroianni, M. (2022). Towards privacy-aware software design in small and medium enterprises. Proceedings of the 2022 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2022. https://doi.org/10.1109/DASC/PiCom/CBDCom/Cy55231.2022.9927958
Abstract
The legal definition of privacy regulations, like GDPR in the European Union, significantly impacted on the way in which software, systems and organizations should be designed or maintained to be compliant to rules. While the privacy community stated proper risk assessment and mitigation approaches to be applied, literature seems to suggest that the software engineering community, with special reference to companies, did actually concentrate on the specification phase, with less attention for the test phase of products. In coherence with the privacy-by-design approach, we believe that a bigger methodological effort must be put in the systematic adaptation of software development cycles to privacy regulations, and that this effort might be promoted in the industrial community by focusing on the relation between organizational costs vs technical features, also leveraging the benefits of targeted testing as a mean to lower operational privacy enforcement costs. © 2022 IEEE. - DetailsCampanile, L., Biase, M. S. de, Marrone, S., Raimondo, M., & Verde, L. (2022). On the Evaluation of BDD Requirements with Text-based Metrics: The ETCS-L3 Case Study [Conference paper]. Smart Innovation, Systems and Technologies, 309, 561–571. https://doi.org/10.1007/978-981-19-3444-5_48
Abstract
A proper requirement definition phase is of a paramount importance in software engineering. It is the first and prime mean to realize efficient and reliable systems. System requirements are usually formulated and expressed in natural language, given its universality and ease of communication and writing. Unfortunately, natural language can be a source of ambiguity, complexity and omissions, which may cause system failures. Among the different approaches proposed by the software engineering community, Behavioural-Driven Development (BDD) is affirming as a valid, practical method to structure effective and non-ambiguous requirement specifications. The paper tackles with the problem of measuring requirements in BDD by assessing some traditional Natural Language Processing-related metrics with respect to a sample excerpt of requirement specification rewritten according to the BDD criteria. This preliminary assessment is made on the ERTMS-ETCS Level 3 case study whose specification, up to this date, is not managed by a standardisation body. The paper demonstrates the necessity of novel metrics able to cope with the BDD specification paradigms. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
2020
- DetailsCampanile, L., Iacono, M., Marrone, S., & Mastroianni, M. (2020). On Performance Evaluation of Security Monitoring in Multitenant Cloud Applications [Article]. Electronic Notes in Theoretical Computer Science, 353, 107–127. https://doi.org/10.1016/j.entcs.2020.09.020
Abstract
In this paper we present a modeling approach suitable for practical evaluation of the delays that may affect security monitoring systems in (multitenant) cloud based architecture, and in general to support professionals in planning and evaluating relevant parameters in dealing with new designs or migration projects. The approach is based on modularity and multiformalism techniques to manage complexity and guide designers in an incremental process, to help transferring technical knowledge into modeling practice and to help easing the use of simulation. We present a case study based on a real experience, triggered by a new legal requirement that Italian Public Administration should comply about their datacenters. © 2020 The Author(s) - DetailsConference Privacy regulations challenges on data-centric and iot systems: A case study for smart vehiclesCampanile, L., Iacono, M., Marulli, F., & Mastroianni, M. (2020). Privacy regulations challenges on data-centric and iot systems: A case study for smart vehicles [Conference paper]. IoTBDS 2020 - Proceedings of the 5th International Conference on Internet of Things, Big Data and Security, 507–520. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089476036&partnerID=40&md5=c18dd73c221ec312a330521bf03d332e
Abstract
Internet of Things (IoTs) services and data-centric systems allow smart and efficient information exchanging. Anyway, even if existing IoTs and cyber security architectures are enforcing, they are still vulnerable to security issues, as unauthorized access, data breaches, intrusions. They can’t provide yet sufficiently robust and secure solutions to be applied in a straightforward way, both for ensuring privacy preservation and trustworthiness of transmitted data, evenly preventing from its fraudulent and unauthorized usage. Such data potentially include critical information about persons’ privacy (locations, visited places, behaviors, goods, anagraphic data and health conditions). So, novel approaches for IoTs and data-centric security are needed. In this work, we address IoTs systems security problem focusing on the privacy preserving issue. Indeed, after the European Union introduced the General Data Protection Regulation (GDPR), privacy data protection is a mandatory requirement for systems producing and managing sensible users’ data. Starting from a case study for the Internet of Vehicles (IoVs), we performed a pilot study and DPIA assessment to analyze possible mitigation strategies for improving the compliance of IoTs based systems to GDPR requirements. Our preliminary results evidenced that the introduction of blockchains in IoTs systems architectures can improve significantly the compliance to privacy regulations. Copyright © 2020 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.
2023
- DetailsCampanile, L., Di Bonito, L. P., Gribaudo, M., & Iacono, M. (2023). A Domain Specific Language for the Design of Artificial Intelligence Applications for Process Engineering [Conference paper]. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 482 LNICST, 133–146. https://doi.org/10.1007/978-3-031-31234-2_8
Abstract
Processes in chemical engineering are frequently enacted by one-of-a-kind devices that implement dynamic processes with feedback regulations designed according to experimental studies and empirical tuning of new devices after the experience obtained on similar setups. While application of artificial intelligence based solutions is largely advocated by researchers in several fields of chemical engineering to face the problems deriving from these practices, few actual cases exist in literature and in industrial plants that leverage currently available tools as much as other application fields suggest. One of the factors that is limiting the spread of AI-based solutions in the field is the lack of tools that support the evaluation of the needs of plants, be those existing or to-be settlements. In this paper we provide a Domain Specific Language based approach for the evaluation of the basic performance requirements for cloud-based setups capable of supporting chemical engineering plants, with a metaphor that attempts to bridge the two worlds. © 2023, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. - DetailsConference Merging Model-Based and Data-Driven Approaches for Resilient Systems Digital Twins DesignCampanile, L., De Biase, M. S., De Fazio, R., Di Giovanni, M., Marulli, F., & Verde, L. (2023). Merging Model-Based and Data-Driven Approaches for Resilient Systems Digital Twins Design [Conference paper]. Proceedings of the 2023 IEEE International Conference on Cyber Security and Resilience, CSR 2023, 301–306. https://doi.org/10.1109/CSR57506.2023.10224945
Abstract
Nowadays, the problem of system robustness, es-pecially in critical infrastructures, is a challenging open question. Some systems provide crucial services continuously failing, threatening the availability of the provided services. By designing a robust architecture, this criticality could be overcome or limited, ensuring service continuity. The definition of a resilient system involves not only its architecture but also the methodology implemented for the calculation and analysis of some indices, quantifying system performance. This study provides an innovative architecture for Digital Twins implementation based on a hybrid methodology for improving the control system in realtime. The introduced approach brings together different techniques. In particular, the work combines the point of strengths of Model-based methods and Data-driven ones, aiming to improve system performances. © 2023 IEEE.
2022
- DetailsCampanile, L., Iacono, M., & Mastroianni, M. (2022). Towards privacy-aware software design in small and medium enterprises. Proceedings of the 2022 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2022. https://doi.org/10.1109/DASC/PiCom/CBDCom/Cy55231.2022.9927958
Abstract
The legal definition of privacy regulations, like GDPR in the European Union, significantly impacted on the way in which software, systems and organizations should be designed or maintained to be compliant to rules. While the privacy community stated proper risk assessment and mitigation approaches to be applied, literature seems to suggest that the software engineering community, with special reference to companies, did actually concentrate on the specification phase, with less attention for the test phase of products. In coherence with the privacy-by-design approach, we believe that a bigger methodological effort must be put in the systematic adaptation of software development cycles to privacy regulations, and that this effort might be promoted in the industrial community by focusing on the relation between organizational costs vs technical features, also leveraging the benefits of targeted testing as a mean to lower operational privacy enforcement costs. © 2022 IEEE. - DetailsCampanile, L., Biase, M. S. de, Marrone, S., Raimondo, M., & Verde, L. (2022). On the Evaluation of BDD Requirements with Text-based Metrics: The ETCS-L3 Case Study [Conference paper]. Smart Innovation, Systems and Technologies, 309, 561–571. https://doi.org/10.1007/978-981-19-3444-5_48
Abstract
A proper requirement definition phase is of a paramount importance in software engineering. It is the first and prime mean to realize efficient and reliable systems. System requirements are usually formulated and expressed in natural language, given its universality and ease of communication and writing. Unfortunately, natural language can be a source of ambiguity, complexity and omissions, which may cause system failures. Among the different approaches proposed by the software engineering community, Behavioural-Driven Development (BDD) is affirming as a valid, practical method to structure effective and non-ambiguous requirement specifications. The paper tackles with the problem of measuring requirements in BDD by assessing some traditional Natural Language Processing-related metrics with respect to a sample excerpt of requirement specification rewritten according to the BDD criteria. This preliminary assessment is made on the ERTMS-ETCS Level 3 case study whose specification, up to this date, is not managed by a standardisation body. The paper demonstrates the necessity of novel metrics able to cope with the BDD specification paradigms. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
2020
- DetailsCampanile, L., Iacono, M., Marrone, S., & Mastroianni, M. (2020). On Performance Evaluation of Security Monitoring in Multitenant Cloud Applications [Article]. Electronic Notes in Theoretical Computer Science, 353, 107–127. https://doi.org/10.1016/j.entcs.2020.09.020
Abstract
In this paper we present a modeling approach suitable for practical evaluation of the delays that may affect security monitoring systems in (multitenant) cloud based architecture, and in general to support professionals in planning and evaluating relevant parameters in dealing with new designs or migration projects. The approach is based on modularity and multiformalism techniques to manage complexity and guide designers in an incremental process, to help transferring technical knowledge into modeling practice and to help easing the use of simulation. We present a case study based on a real experience, triggered by a new legal requirement that Italian Public Administration should comply about their datacenters. © 2020 The Author(s) - DetailsConference Privacy regulations challenges on data-centric and iot systems: A case study for smart vehiclesCampanile, L., Iacono, M., Marulli, F., & Mastroianni, M. (2020). Privacy regulations challenges on data-centric and iot systems: A case study for smart vehicles [Conference paper]. IoTBDS 2020 - Proceedings of the 5th International Conference on Internet of Things, Big Data and Security, 507–520. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089476036&partnerID=40&md5=c18dd73c221ec312a330521bf03d332e
Abstract
Internet of Things (IoTs) services and data-centric systems allow smart and efficient information exchanging. Anyway, even if existing IoTs and cyber security architectures are enforcing, they are still vulnerable to security issues, as unauthorized access, data breaches, intrusions. They can’t provide yet sufficiently robust and secure solutions to be applied in a straightforward way, both for ensuring privacy preservation and trustworthiness of transmitted data, evenly preventing from its fraudulent and unauthorized usage. Such data potentially include critical information about persons’ privacy (locations, visited places, behaviors, goods, anagraphic data and health conditions). So, novel approaches for IoTs and data-centric security are needed. In this work, we address IoTs systems security problem focusing on the privacy preserving issue. Indeed, after the European Union introduced the General Data Protection Regulation (GDPR), privacy data protection is a mandatory requirement for systems producing and managing sensible users’ data. Starting from a case study for the Internet of Vehicles (IoVs), we performed a pilot study and DPIA assessment to analyze possible mitigation strategies for improving the compliance of IoTs based systems to GDPR requirements. Our preliminary results evidenced that the introduction of blockchains in IoTs systems architectures can improve significantly the compliance to privacy regulations. Copyright © 2020 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.