Challenges of Software Requirements Quality Assurance and Validation: A Systematic Literature Review

Atoum, Issa; Baklizi, Mahmoud; Alsmadi, Izzat; Otoom, Ahmed; Alhersh, Taha; Ababneh, Jafar; Almalki, Jameel; Alshahrani, Saeed M.

doi:10.1109/access.2021.3117989

Cited by 26 publications

(16 citation statements)

References 57 publications

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“…The major advantage of the proposed machine learning models versus questionnaire-based approaches is automation, where UX could be evaluated on the fly at any point in time during software development. The UX evaluation could be used as a driving force for requirements analysis and validation [12]. Our study is consistent with the literature review conducted by Almeyda et al [39] that showed that integrating the user experience and agile techniques are essential for requirements analysis.…”

Section: Implications and Limitationssupporting

confidence: 90%

“…As a result, requirements engineers are not fully aware of any early UX software requirements before getting any prototype. Lacking large datasets of software requirements are still a major challenge for proper costeffective and rapid application development [12]. Moreover, the elimination of UX-compliant requirements results in UX neglection in the final product [13] or poor resource planning [14].…”

Section: Introductionmentioning

confidence: 99%

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Towards Measuring User Experience based on Software Requirements

Atoum¹,

Almalki²,

Alshahrani³

et al. 2021

IJACSA

Self Cite

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User Experience (UX) provides insights into the users' product perceptions while using or intending to use an application. Software products are known for complexity and changeability, starting from requirements engineering until the product operation. Users often evaluate software UX based on a prototype; however, UX is semantically embedded in the software requirements, a crucial indicator for project success. The problem of current UX evaluation methods is their dependence on the actual involvement of users or experts, a timeconsuming process. First, this paper builds a benchmark dataset of UX based on textual software requirements crowdsourcing several UX experts. Second, the paper develops a machine learning model to measure UX based on the dataset. This research describes the dataset characteristics and reports its statistical internal consistency and reliability. Results indicate a high Cronbach Alpha and a low root mean square error of the dataset. We conclude that the new benchmark dataset could be used to estimate UX instantly without the need for subjective UX evaluation. The dataset will serve as a foundation of UX features for machine learning models.

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Section: Implications and Limitationssupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Towards Measuring User Experience based on Software Requirements

Atoum¹,

Almalki²,

Alshahrani³

et al. 2021

IJACSA

Self Cite

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“…They could be called "requirements applied to requirements". Authors have pointed out that consistency, completeness, and correctness are the most used RQ (Atoum et al 2021 andMontgomery et al 2022).…”

Section: Challenges In Early Verification and Validation Of System Re...mentioning

confidence: 99%

Challenges in Early Verification and Validation of System Requirements

Bacquet,

Marangé,

Bonjour

et al. 2023

INSIGHT

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Today, requirements engineering (RE) is a key process in the development of complex systems‐(ISO/IEC/IEEE 2015). Requirements containing quality issues such as ambiguity or inconsistency can lead to late error detection in systems design, resulting in high project cost overruns. This paper presents challenges for early system requirements verification and validation associated to an executable model‐based requirements engineering (eMBRE) process proposal.

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“…According to previous studies, the quality of software depends on the correct understanding of the end-users and stakeholders' needs, i.e., the quality of the software requirements (Atoum et al, 2021;Behutiye, Karhapää et al, 2020;Behutiye, Seppänen, et al, 2020;Montgomery et al, 2022;Olsson et al, 2022). Thus, requirements elicitation and specification need to be aligned with business needs in order to meet stakeholder expectations (Ferrari et al, 2021;Karhapää et al, 2021;Montgomery et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Business Process Modeling Supporting the Requirements Elicitation of an Audit System

Canedo

Bandeira

Gonçalves

et al. 2023

International Journal of Electronic Government Research

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Requirements elicitation is a highly relevant part of the software development process. Due to the several techniques that exist to perform it, it is necessary to understand the complexity of this activity for it to be well performed, thus ensuring the quality of the final product. In addition, it is also worth emphasizing that the existence of well-defined processes is essential for the stakeholders' needs to be correctly identified in the initial stages of the software development process. This paper presents an experience report of the requirements elicitation and business process modeling teams. The teams used the best practices and reference frameworks to understand, model, and perform business process enhancements to the Brazilian Unified Health System General Audit Office (AUDSUS) audit system by using the business process model and notation (BPMN). Thus, all software requirements were specified based on the modeled business processes, providing a faster software development process and a more efficient information flow between stakeholders and the teams involved.

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Challenges of Software Requirements Quality Assurance and Validation: A Systematic Literature Review

Abstract: Date of publication xxxx 00, 0000, date of current version xxxx 00, 0000.

Cited by 26 publications

References 57 publications

Towards Measuring User Experience based on Software Requirements

Towards Measuring User Experience based on Software Requirements

Challenges in Early Verification and Validation of System Requirements

Business Process Modeling Supporting the Requirements Elicitation of an Audit System

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