The Experts below are selected from a list of 48 Experts worldwide ranked by ideXlab platform
Muhamad Arfauz A Rahman - One of the best experts on this subject based on the ideXlab platform.
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Configuration Model for Automating Work System Design
American Journal of Industrial and Business Management, 2012Co-Authors: Muhamad Arfauz A RahmanAbstract:The design of an automation work system involves important choices concerning the type of system process as well as the condition of the process. These are based on the Requirements from the user. This work provides the development of configuration model for automating the design of work system. The model consists of the extraction and execution process of user Requirements. It begins with the identification of the Requirement Statement. Once identified, the Statement is extracted and sorted accordingly into process type, number of item count and condition of the process. Currently, the model considers simple sorting and basic assembly process. The model continues to the selection of system action and system component. At the end of the work, the user Requirements are transformed into a set of system model and eventually provide the desired system specification. At this stage, the model is represented in a symbolic flow process.
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Acquisition of User Requirements for Reconfiguration of an Automation Work System
2011Co-Authors: Muhamad Arfauz A Rahman, John P.t. MoAbstract:This paper provides an overview of the current work to configure and reconfigure an automation work system. The work models the acquisition process of user Requirements. It begins with the identification of the user Requirement Statement. Once identified, the Statement of Requirement is acquired and sorted accordingly into process type, number of item count and condition of the process. The model continues to the selection of system action and system component. At the end of the work, the Requirement will be transformed into a set of system model and eventually provides with system specification.
John P.t. Mo - One of the best experts on this subject based on the ideXlab platform.
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Acquisition of User Requirements for Reconfiguration of an Automation Work System
2011Co-Authors: Muhamad Arfauz A Rahman, John P.t. MoAbstract:This paper provides an overview of the current work to configure and reconfigure an automation work system. The work models the acquisition process of user Requirements. It begins with the identification of the user Requirement Statement. Once identified, the Statement of Requirement is acquired and sorted accordingly into process type, number of item count and condition of the process. The model continues to the selection of system action and system component. At the end of the work, the Requirement will be transformed into a set of system model and eventually provides with system specification.
Liping Zhao - One of the best experts on this subject based on the ideXlab platform.
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Towards a Corpus of Requirements Documents Enriched with Semantic Frame Annotations
2018 IEEE 26th International Requirements Engineering Conference (RE), 2018Co-Authors: Waad Alhoshan, Riza Batista-navarro, Liping ZhaoAbstract:Software Requirements are typically written in natural language, which need to be transformed into a more formal representation. Natural language processing techniques have been applied to aid in this transformation. Semantic parsing, for instance, adds semantic structure to text. It however requires supporting corpora which are still missing in Requirements engineering. To address this gap, we developed FN-RE, a corpus of Requirements documents, which was annotated based on semantic frames in FrameNet. Each Requirement Statement was manually labelled by two annotators by selecting suitable semantic frames and related frame elements. We obtained an average agreement of 72.85% between the two annotators, measured by F-score, thus indicating that the annotations provided in our corpus are reliable.
Waad Alhoshan - One of the best experts on this subject based on the ideXlab platform.
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Towards a Corpus of Requirements Documents Enriched with Semantic Frame Annotations
2018 IEEE 26th International Requirements Engineering Conference (RE), 2018Co-Authors: Waad Alhoshan, Riza Batista-navarro, Liping ZhaoAbstract:Software Requirements are typically written in natural language, which need to be transformed into a more formal representation. Natural language processing techniques have been applied to aid in this transformation. Semantic parsing, for instance, adds semantic structure to text. It however requires supporting corpora which are still missing in Requirements engineering. To address this gap, we developed FN-RE, a corpus of Requirements documents, which was annotated based on semantic frames in FrameNet. Each Requirement Statement was manually labelled by two annotators by selecting suitable semantic frames and related frame elements. We obtained an average agreement of 72.85% between the two annotators, measured by F-score, thus indicating that the annotations provided in our corpus are reliable.
Riza Batista-navarro - One of the best experts on this subject based on the ideXlab platform.
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Towards a Corpus of Requirements Documents Enriched with Semantic Frame Annotations
2018 IEEE 26th International Requirements Engineering Conference (RE), 2018Co-Authors: Waad Alhoshan, Riza Batista-navarro, Liping ZhaoAbstract:Software Requirements are typically written in natural language, which need to be transformed into a more formal representation. Natural language processing techniques have been applied to aid in this transformation. Semantic parsing, for instance, adds semantic structure to text. It however requires supporting corpora which are still missing in Requirements engineering. To address this gap, we developed FN-RE, a corpus of Requirements documents, which was annotated based on semantic frames in FrameNet. Each Requirement Statement was manually labelled by two annotators by selecting suitable semantic frames and related frame elements. We obtained an average agreement of 72.85% between the two annotators, measured by F-score, thus indicating that the annotations provided in our corpus are reliable.