Capturing Users Requirements Using a Data Mining Approach

Qureshi, Muhammad Zeeshan; Azhar, Anique; Abubakar, Qazi; Rana, Tauseef; Maqbool, Ayesha

doi:10.1109/comtech52583.2021.9616939

Cited by 2 publications

(1 citation statement)

References 17 publications

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“…The user requirements considered in this study were based on a review of prior literature that identified user needs through various approaches, such as demonstrations and surveys, and may not consider newly expressed user requirements. Traditional engineering methodologies have limitations for new technologies, such as collaborative robots, where user experience has not been sufficiently accumulated, and analytical techniques such as text mining are needed to overcome this (Qureshi et al, 2021; Soni et al, 2020). This study does not calculate weights that can reflect dynamic user requirements in the context of technological advancement.…”

Section: Discussionmentioning

confidence: 99%

Analysis of quality standards for industrial collaborative robots based on user‐centered design framework

Heo,

Putri,

Kim

et al. 2023

Hum Ftrs & Erg Mfg Svc

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Industrial collaborative robots have become increasingly important in recent years due to their ability to work safely and efficiently alongside humans. As a result, there is a growing need for evaluation standards to ensure the quality of collaborative robots. However, existing studies only consider system‐centered and technical aspects of collaborative robots, and there is a lack of research on user‐centered quality evaluation. In this study, we identified 21 user requirements based on a user‐centered design framework and confirmed the limitations of existing quality standards by reviewing the standard clauses for collaborative robots. It was found that user needs to be related to performance, safety, and even usability and enjoyment are already being expressed according to the user‐centered design framework, but the quality standards for these needs only present design principles or do not consider them at all. This study provides information on the quality attributes that need to be fulfilled to satisfy user requirements and suggests the need and direction for further research on the user‐centered evaluation of collaborative robots. Accordingly, the user's perception and experience of collaborative robots are expected to improve.

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Section: Discussionmentioning

confidence: 99%

Analysis of quality standards for industrial collaborative robots based on user‐centered design framework

Heo,

Putri,

Kim

et al. 2023

Hum Ftrs & Erg Mfg Svc

View full text Add to dashboard Cite

show abstract

Advances in automated support for requirements engineering: a systematic literature review

Umar,

Lano

2024

Requirements Eng

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Requirements Engineering (RE) has undergone several transitions over the years, from traditional methods to agile approaches emphasising increased automation. In many software development projects, requirements are expressed in natural language and embedded within large volumes of text documents. At the same time, RE activities aim to define software systems' functionalities and constraints. However, manually executing these tasks is time-consuming and prone to errors. Numerous research efforts have proposed tools and technologies for automating RE activities to address this challenge, which are documented in published works. This review aims to examine empirical evidence on automated RE and analyse its impact on the RE sub-domain and software development. To achieve our goal, we conducted a Systematic Literature Review (SLR) following established guidelines for conducting SLRs. We aimed to identify, aggregate, and analyse papers on automated RE published between 1996 and 2022. We outlined the output of the support tool, the RE phase covered, levels of automation, development approach, and evaluation approaches. We identified 85 papers that discussed automated RE from various perspectives and methodologies. The results of this review demonstrate the significance of automated RE for the software development community, which has the potential to shorten development cycles and reduce associated costs. The support tools primarily assist in generating UML models (44.7%) and other activities such as omission of steps, consistency checking, and requirement validation. The analysis phase of RE is the most widely automated phase, with 49.53% of automated tools developed for this purpose. Natural language processing technologies, particularly POS tagging and Parser, are widely employed in developing these support tools. Controlled experimental methods are the most frequently used (48.2%) for evaluating automated RE tools, while user studies are the least employed evaluation method (8.2%). This paper contributes to the existing body of knowledge by providing an updated overview of the research literature, enabling a better understanding of trends and state-of-the-art practices in automated RE for researchers and practitioners. It also paves the way for future research directions in automated requirements engineering.

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Capturing Users Requirements Using a Data Mining Approach

Cited by 2 publications

References 17 publications

Analysis of quality standards for industrial collaborative robots based on user‐centered design framework

Analysis of quality standards for industrial collaborative robots based on user‐centered design framework

Advances in automated support for requirements engineering: a systematic literature review

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