Ontological user profile for E-orientation platforms

Adib, Jihad; Abdelouahid, Rachida Ait; Marzak, Abdelaziz; Moutachaouik, Hicham

doi:10.1016/j.procs.2021.12.263

Cited by 6 publications

(2 citation statements)

References 9 publications

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“…Costa et al [18] established humancomputer interaction (HCI) ontology to clarify the main concepts involved in the HCI phenomenon and solve the semantic interoperability problem caused by the disunity of HCI system concepts. Adib et al [19] proposed an ontology that is capable of gathering and evaluating user-related messages and using the most appropriate suggestions or directions to define a custom profile. In summary, the study shows that the use of ontology language to establish a uniform specification for describing requirements can improve the effective management and efficient reuse of resources and solve the high coordination cost and interoperability problems caused by the semantic barriers associated with the definition of operational terms and software development procedures.…”

Section: Related Workmentioning

confidence: 99%

ScrumOntoSPL: Collaborative Method of Agile Product Line Engineering for Software Resource Reuse

et al. 2023

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Agile Product Line Engineering (APLE), a relatively new approach combining the two successful methods of Agile Software Development (ASD) and Software Product Lines (SPLs), makes product lines more responsive to ever-changing customer needs or market changes. However, SPLs often fail to keep up with market demand due to high coordination costs, slow development processes, and long release cycles in the case of frequent changes in business requirements; in agile software projects, the lack of a unified specification for describing requirements leads to high coordination costs and inconvenient requirement management. Some studies in the literature have proposed optimized approaches to integrate ASD and SPLs, but they still have not covered all aspects of APLE’s characteristics, and software resource reuse is rarely considered in these approaches during product line development. In view of this, we propose a collaborative framework of agile product line engineering for software resource reuse, namely ScrumOntoSPL. The ScrumOntoSPL approach efficiently merges ASD and SPL based on the agile method Scrum, SPL architecture, and ontology technology. In ScrumOntoSPL, uniform requirement specification is constructed by utilizing ontology, and the Matching Requirement with Component (MRC) process is designed to match product new requirements and software resources stored in a resource pool. In addition, we evaluated the proposed framework and approach with CMMI. In the end, a case study of a software development tool called IMC-Tool based on ScrumOntoSPL for a universal Instrument Microcontroller Chip (IMC) is discussed. The IMC-Tool case illustrates that the ScrumOntoSPL has the advantages of dynamically managing demand changes, enhancing software resource reuse, reducing coordination costs, and reducing time to market.

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Section: Related Workmentioning

confidence: 99%

ScrumOntoSPL: Collaborative Method of Agile Product Line Engineering for Software Resource Reuse

et al. 2023

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“…This concept was first proposed by Alan Cooper [1] in the late 1990s in the field of software development and gained popularity as a part of user-centered design processes in the commercial field [3]. The concept of learner personas applied in the education field was derived from user personas in the commercial field [4]. Learner personas in the education field are well-developed fictional profiles that represent the target learners for whom you are designing a learning program.…”

Section: Introductionmentioning

confidence: 99%

Research on the construction of learner personas

Peng

Shang

et al. 2023

Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022)

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In the big data environment, the key is the precise recommendation of learning resources to learners. The core is the indeep mining of learners' personalized demands. This study solves this problem by constructing learner personas. Primarily, collect web learning data of learners to cluster them. Then analyze the characteristics of learners to predict their learning intentions and knowledge blind spots. Based on it, generate a clear personalized learning path subsequently. Precise positioning, quickly finding out the learner's ability and quality shortcomings. And completing the accurate recommendation to learners. It will help learners establish a reasonable learning path, and provide more accurate service support. This study will provide a theoretical basis for carrying out big data precision services and meeting the personalized learning needs of learners.

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A Novel RNN Model with Enhanced Behavior Semantic for Network User Profile

Han

Sheng

et al. 2022

2022 Tenth International Conference on Advanced Cloud and Big Data (CBD)

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Ontological user profile for E-orientation platforms

Cited by 6 publications

References 9 publications

ScrumOntoSPL: Collaborative Method of Agile Product Line Engineering for Software Resource Reuse

ScrumOntoSPL: Collaborative Method of Agile Product Line Engineering for Software Resource Reuse

Research on the construction of learner personas

A Novel RNN Model with Enhanced Behavior Semantic for Network User Profile

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