Semi-Automated Classification of Arabic User Requirements into Functional and Non-Functional Requirements using NLP Tools

Shehadeh, Karmel S.; Arman, Nabil; Khamayseh, Faisal

doi:10.1109/icit52682.2021.9491698

Cited by 8 publications

(7 citation statements)

References 16 publications

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“…Thus, the guidelines developed in this study are expected to help technology developers think beyond systems' usability and functionality features to include essential elements that can safeguard patients' emotional safety, including not contributing to stigma. The incorporation of content-related guidelines in designing digital platforms is important because design guidelines that fall outside the usual technical guidelines are generally less obvious, more difficult to specify, and most often not considered by digital health developers [27]. By situating this study at the intersection of sexual health and digital health design, it can also be argued that the final design guidelines reflected human-centred values including human dignity, privacy, anonymity, autonomy and choice, sympathy, human relationships, and strength-based approaches, which are considered cardinal hallmarks of good healthcare [36].…”

Section: Discussionmentioning

confidence: 99%

“…We specifically used the trauma-informed care framework proposed by Harris and Fallot [22]. Unlike traditional user-interface design guidelines that mostly concentrate on addressing technical problems [27], the use of this framework helped identify preliminary design guidelines from the literature review that were largely content-related and non-technical in nature. By adopting this framework, we were able to generate non-technical design solutions that cover a broad range of stigma management strategies [28][29][30][31].…”

Section: Pre-delphi Stagementioning

confidence: 99%

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Defining Destigmatizing Design Guidelines for Use in Sexual Health-Related Digital Technologies: A Delphi Study

Abdulai¹,

Howard²,

Yong

et al. 2023

Preprint

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ObjectiveStigma has been recognized as a significant issue in sexual health, yet no specific guidelines exist to support digital health development teams in creating stigma-alleviating sexual health digital platforms. The purpose of this study was to develop a set of design guidelines that would serve as a reference point for addressing stigma during the design of sexual health-related digital platforms.Materials and MethodsWe conducted a 3-round Delphi study among 14 researchers in stigma and sexual health. A preliminary list of 28 design guidelines was generated from a literature review. Participants appraised and critiqued the clarity and usefulness of the preliminary list and provided comments for each item and for the overall group of items at each round. At each round, a content validity index and an interquartile range were calculated to determine the level of consensus regarding the clarity and usefulness of each guideline. Items were retained if there was high consensus and discarded if there was no consensus after the three rounds.ResultsNineteen design guidelines achieved consensus. Most of them were content-related guidelines and sought to address the emotional concerns of patients that could potentially aggravate stigma. The findings also reflected modern stigma management strategies of making stigma a societal attribute by challenging, exposing, and normalizing stigma attributes via web platforms.ConclusionTo address stigma via digital platforms, developers should not just concentrate on technical solutions but seriously consider content-related and emotional design components that are likely to result in stigma

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Section: Discussionmentioning

confidence: 99%

Section: Pre-delphi Stagementioning

confidence: 99%

Defining Destigmatizing Design Guidelines for Use in Sexual Health-Related Digital Technologies: A Delphi Study

Abdulai¹,

Howard²,

Yong

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Thus, the guidelines developed in this study are expected to help technology developers think beyond systems’ usability and functionality features to include essential elements that can safeguard patients’ emotional safety, including not contributing to stigma. The incorporation of content-related guidelines in designing digital platforms is important because design guidelines that fall outside the usual technical guidelines are generally less obvious, more difficult to specify, and most often not considered by digital health developers [ 28 ]. By situating this study at the intersection of sexual health and digital health design, it can also be argued that the final design guidelines reflected human-centred values including human dignity, privacy, anonymity, autonomy and choice, sympathy, human relationships, and strength-based approaches, which are considered cardinal hallmarks of good healthcare [ 37 ].…”

Section: Discussionmentioning

confidence: 99%

Defining destigmatizing design guidelines for use in sexual health-related digital technologies: A Delphi study

et al. 2023

View full text Add to dashboard Cite

Objective Stigma has been recognized as a significant issue in sexual health, yet no specific guidelines exist to support digital health development teams in creating stigma-alleviating sexual health digital platforms. The purpose of this study was to develop a set of design guidelines that would serve as a reference point for addressing stigma during the design of sexual health-related digital platforms. Materials and Methods We conducted a 3-round Delphi study among 14 researchers in stigma and sexual health. A preliminary list of 28 design guidelines was generated from a literature review. Participants appraised and critiqued the clarity and usefulness of the preliminary list and provided comments for each item and for the overall group of items at each round. At each round, a content validity index and an interquartile range were calculated to determine the level of consensus regarding the clarity and usefulness of each guideline. Items were retained if there was high consensus or were dropped if there was no consensus after the three rounds. Results Nineteen design guidelines achieved consensus. Most of them were content-related guidelines and sought to address the emotional concerns of patients that could potentially aggravate stigma. The findings also reflected modern stigma management strategies of making stigma a societal attribute by challenging, exposing, and normalizing stigma attributes via web platforms. Conclusion To address stigma via digital platforms, developers should not just concentrate on technical solutions but seriously consider content-related and emotional design components that are likely to result in stigma.

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“…Bakar et al (2016) [84] approached requirements as a multilabel-classification problem. Moreover, NLP and machine learning were used to significantly aid in requirements categorization [65] while leveraging NLP for enhanced feature extraction [71,74]. Other studies were preoccupied with exploring software development feedback channels to form a comprehensive requirements ecosystem [103]and to investigate the interconnections between various channels [107].…”

Section: Rq3: What Other Ai Technologies Have Been Used Together With...mentioning

confidence: 99%

A Systematic Literature Review on Using Natural Language Processing in Software Requirements Engineering

Necula,

Dumitriu,

Greavu-Șerban

2024

Electronics

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This systematic literature review examines the integration of natural language processing (NLP) in software requirements engineering (SRE) from 1991 to 2023. Focusing on the enhancement of software requirement processes through technological innovation, this study spans an extensive array of scholarly articles, conference papers, and key journal and conference reports, including data from Scopus, IEEE Xplore, ACM Digital Library, and Clarivate. Our methodology employs both quantitative bibliometric tools, like keyword trend analysis and thematic mapping, and qualitative content analysis to provide a robust synthesis of current trends and future directions. Reported findings underscore the essential roles of advanced computational techniques like machine learning, deep learning, and large language models in refining and automating SRE tasks. This review highlights the progressive adoption of these technologies in response to the increasing complexity of software systems, emphasizing their significant potential to enhance the accuracy and efficiency of requirement engineering practices while also pointing to the challenges of integrating artificial intelligence (AI) and NLP into existing SRE workflows. The systematic exploration of both historical contributions and emerging trends offers new insights into the dynamic interplay between technological advances and their practical applications in SRE.

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Semi-Automated Classification of Arabic User Requirements into Functional and Non-Functional Requirements using NLP Tools

Cited by 8 publications

References 16 publications

Defining Destigmatizing Design Guidelines for Use in Sexual Health-Related Digital Technologies: A Delphi Study

Defining Destigmatizing Design Guidelines for Use in Sexual Health-Related Digital Technologies: A Delphi Study

Defining destigmatizing design guidelines for use in sexual health-related digital technologies: A Delphi study

A Systematic Literature Review on Using Natural Language Processing in Software Requirements Engineering

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