Knowledge Driven Synthesis Using Resource-Capability Semantics for Control Software Design
This paper presents a knowledge-driven approach for automated synthesis of controllers in three different use-cases. The approach addresses the engineering challenge posed by Industrie 4.0, which requires fast, reliable, and flexible integration of multiple heterogeneous hardware and software compon...
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IEEE
2023-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10129833/ |
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| author | Amar Banerjee Venkatesh Choppella |
| author_facet | Amar Banerjee Venkatesh Choppella |
| author_sort | Amar Banerjee |
| collection | DOAJ |
| description | This paper presents a knowledge-driven approach for automated synthesis of controllers in three different use-cases. The approach addresses the engineering challenge posed by Industrie 4.0, which requires fast, reliable, and flexible integration of multiple heterogeneous hardware and software components. Manual design approaches are not scalable for large systems due to their complexity. The proposed approach captures resource-capability knowledge and uses a reasoning-based synthesis mechanism to compose a controller design for a plant goal. The approach uses domain-specific languages (DSLs) to describe the components, their interfaces, and capabilities. The generated control designs are executable codes that implement the control strategy. The proposed approach reduces the average engineering time by 70% and generates on an average 60% of the executable code in each use-case. The approach uses a knowledge repository to store resource-capability knowledge and enables rapid prototyping and iterative design. The proposed approach provides a promising solution to automate the synthesis of controllers in different use-cases with multiple heterogeneous hardware and software components satisfaction. |
| format | Article |
| id | doaj-art-5bd24a4a938b400985bbda982c27d5c0 |
| institution | DOAJ |
| issn | 2169-3536 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-5bd24a4a938b400985bbda982c27d5c02025-08-20T02:48:45ZengIEEEIEEE Access2169-35362023-01-0111525275253910.1109/ACCESS.2023.327785910129833Knowledge Driven Synthesis Using Resource-Capability Semantics for Control Software DesignAmar Banerjee0https://orcid.org/0000-0002-1454-4215Venkatesh Choppella1Software Engineering Research Center, International Institute of Information Technology, Hyderabad, Hyderabad, Telangana, IndiaSoftware Engineering Research Center, International Institute of Information Technology, Hyderabad, Hyderabad, Telangana, IndiaThis paper presents a knowledge-driven approach for automated synthesis of controllers in three different use-cases. The approach addresses the engineering challenge posed by Industrie 4.0, which requires fast, reliable, and flexible integration of multiple heterogeneous hardware and software components. Manual design approaches are not scalable for large systems due to their complexity. The proposed approach captures resource-capability knowledge and uses a reasoning-based synthesis mechanism to compose a controller design for a plant goal. The approach uses domain-specific languages (DSLs) to describe the components, their interfaces, and capabilities. The generated control designs are executable codes that implement the control strategy. The proposed approach reduces the average engineering time by 70% and generates on an average 60% of the executable code in each use-case. The approach uses a knowledge repository to store resource-capability knowledge and enables rapid prototyping and iterative design. The proposed approach provides a promising solution to automate the synthesis of controllers in different use-cases with multiple heterogeneous hardware and software components satisfaction.https://ieeexplore.ieee.org/document/10129833/Automated software developmentcontrol softwarecapability knowledge modelknowledge driven approachsemantic ontology |
| spellingShingle | Amar Banerjee Venkatesh Choppella Knowledge Driven Synthesis Using Resource-Capability Semantics for Control Software Design IEEE Access Automated software development control software capability knowledge model knowledge driven approach semantic ontology |
| title | Knowledge Driven Synthesis Using Resource-Capability Semantics for Control Software Design |
| title_full | Knowledge Driven Synthesis Using Resource-Capability Semantics for Control Software Design |
| title_fullStr | Knowledge Driven Synthesis Using Resource-Capability Semantics for Control Software Design |
| title_full_unstemmed | Knowledge Driven Synthesis Using Resource-Capability Semantics for Control Software Design |
| title_short | Knowledge Driven Synthesis Using Resource-Capability Semantics for Control Software Design |
| title_sort | knowledge driven synthesis using resource capability semantics for control software design |
| topic | Automated software development control software capability knowledge model knowledge driven approach semantic ontology |
| url | https://ieeexplore.ieee.org/document/10129833/ |
| work_keys_str_mv | AT amarbanerjee knowledgedrivensynthesisusingresourcecapabilitysemanticsforcontrolsoftwaredesign AT venkateshchoppella knowledgedrivensynthesisusingresourcecapabilitysemanticsforcontrolsoftwaredesign |