A Fuzzy base Approach to Reduce the Domain of Ambiguities in Software Requirement

Ahmad, Yasir; Nasir, Wan Mohd.; Husain, Sadia

doi:10.1109/isriti.2018.8864235

Cited by 1 publication

(3 citation statements)

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“…In the experiments, we achieved a precision of 0.769 (76.9%), recall of 1 (100%), and F1 score of 0.869 (86.9%). In comparison, when we applied the fuzzy-based approach given earlier by Ahmad et al [31] to our data using only membership values, after stage 1, the total number of unaccepted cases was 15 for both experiments. However, in contrast to our approach, in which we identified the reasons for rejected cases as hesitation, tacit knowledge, and discordance at multiple acceptance levels, the earlier fuzzy approach was limited to only accepted and rejected cases at the 100% acceptance level only.…”

Section: Discussionmentioning

confidence: 86%

“…This framework automates the identification and resolution of usability requirements conflicts and helps requirement analysts to make better decisions. Ahmad et al, in 2018, proposed an implementable approach based on fuzzy logic and context knowledge to resolve detected ambiguities [31]. This approach uses the consents of the stakeholders in the form of fuzzy values iteratively to resolve detected ambiguities.…”

Section: B Related Workmentioning

confidence: 99%

“…The proposed approach is divided into three stages based on the objectives deduced from each of the research questions. This is motivated by earlier studies that use the fuzzy approach to resolve ambiguous requirements [31], intuitionistic fuzzy approaches to address human hesitation to reduce the domain of data [32], and various studies that populate the corpus to improve the accuracy of ambiguity detection [27], [29].…”

Section: Proposed Approachmentioning

confidence: 99%

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An Intuitionistic Fuzzy Based Approach to Resolve Detected Ambiguities in the User Requirements Document

et al. 2021

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Ambiguous user requirements are usually considered problematic in software engineering. Therefore, many studies have been conducted on its avoidance and detection. However, the detected ambiguities were resolved manually using interviews, brainstorming, and group discussion sessions among the elicitors and stakeholders for whom the software was developed. If not addressed efficiently, it gives rise to the explicit issues of additional time and cost involved and the stakeholders' availability to clarify them during multiple sessions. However, if appropriately addressed, it can reveal some implicit issues, such as tacit knowledge, hesitation, and terminological discrepancies. Identifying these implicit issues is not easy, as it requires expert elicitation skills that usually come with experience. In addition to the increasing demand for an automated approach to address these implicit issues, the recent COVID 19 pandemics has also amplified the demand to address the explicit issue of stakeholder availability. This paper proposes an implementable semi-automated approach to help elicitors address these demands. The proposed approach uses intuitionistic fuzzy logic to address hesitation and statistical functions to identify discordance and tacit knowledge. It also uses the heuristic knowledge gained in each iteration to improve itself. We implemented it in an online tool and conducted controlled experiments to evaluate our approach, and the results were compared. We achieved precision, recall, and F1 score of 0.769, 1, and 0.869, respectively, during our experiments. The results show that the proposed approach may minimize the explicit issues and help novice elicitors address the implicit issues discussed earlier.

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Section: Discussionmentioning

confidence: 86%

Section: B Related Workmentioning

confidence: 99%