Implementation of Semantic Textual Similarity between Requirement Specification and Use Case Description Using WUP Method (Case Study: Sipjabs Application)

Sari, Elsa Jelista; Priyadi, Yudi; Riskiana, Rosa Reska

doi:10.1109/aiiot54504.2022.9817311

Cited by 9 publications

(5 citation statements)

References 19 publications

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“…Many methods rely on syntactic similarity [24][11], although some of them also relies on semantic similarity [2] [19] [20].…”

Section: Related Workmentioning

confidence: 99%

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An Approach to Cluster Scenarios According to Their Similarity Using Natural Language Processing

Delle Ville,

Torres,

Fernández

et al. 2024

Communications in Computer and Information Science

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Scenarios are ideal to capture knowledge in human computer interface software engineering. Requirements engineering is a fundamental part of software development. If errors appear in this stage, it will be expensive to correct them in further stages. The domain experts and the developer team belong to different worlds. This generates a gap in communication between them. Because of it, it is important to use artifacts in natural language to communicate both sides. One simpler approach to specify requirements is Scenarios. They are widely used artifacts that generally describe the dynamics (tasks, activities) to be carried out in some specific situation. Generally, scenarios promote communication and participation from both sides. This can cause some problems. One of these problems is redundancy, that occurs when two stakeholders describe the same situation in different artifacts. This paper proposes an approach to analyze a set of scenarios by grouping them according to their similarity. The similarity is calculated through a series of comparisons of the different attributes of the scenario. This paper also describes a prototype implementing this method. Finally, the paper shows the result of a preliminary evaluation with results about the applicability of the approach.

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“…Many methods rely on syntactic similarity [24][11], although some of them also relies on semantic similarity [2] [19] [20].…”

Section: Related Workmentioning

confidence: 99%

“…In this paper, the method proposed only focuses on text similarity. Sari et al [24] propose a study of semantic similarity via Wu Palmer method through functional requirements with use case diagrams. al.…”

Section: Related Workmentioning

confidence: 99%

An Approach to Cluster Scenarios According to Their Similarity Using Natural Language Processing

Delle Ville,

Torres,

Fernández

et al. 2024

Communications in Computer and Information Science

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show abstract

“…In text mining, the implementation is required to prepare for the irregularity of the text data structure to become structured data. This implementation uses several activities for text preprocessing, including [12,18] a. Case folding for converting to lowercase.…”

Section: Text Miningmentioning

confidence: 99%

“…The principle of similarity calculation is based on the distance (N1 and N2), which separates C1 and C2 nodes from the root node, and the distance (N) separated by CS between C1 and C2 from the root node R [13]. The basis for measuring semantic similarity is defined by the formulation of Wu and Palmer [18]. Semantic SimWP = 2 * N/(N1 + N2).…”

Section: Similaritymentioning

confidence: 99%

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IdVar4CL: Causal Loop Variable Identification Method for Systems Thinking Based on Text Mining Approach

Priyadi¹,

Kusumahadi²,

Lyanda³

2022

IJFIS

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Systems thinking is a discipline for understanding wholeness and frameworks based on the changing patterns of the interconnectedness of the whole system. The storytelling of a system is a description of the mental model of an individual in describing the state of the environment. There are differences in the interpretation of the system description. This difference occurs because each individual has a different level of systems thinking in terms of experience, learning process, insight, intuition, and assumption in understanding system interactions. This study aims to extract data in the description of the storytelling of a systems thinking case by performing text mining and similarity to identify and find a variable to form causal loop diagrams. Based on the results of this study, there are results in the data extraction from the description of storytelling for the systems thinking case. The conclusions of this study are as follows: First, processing the five documents has successfully identified two documents with the highest similarity value, such as d1 and d3. Second, based on the cosine similarity calculation results and the results of the similarity value, there is a value closest to 1, such as 0.0913166. This value is at the d1 and d3 positions. Third, it produces a variable approach in the form of a group of words used in modeling thinking systems based on a connectedness value greater than 0.50.

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Measurement of Similarity Between Requirement Elicitation and Requirement Specification Using Text Pre-Processing in the Cinemaloka Application

Pamungkas

Priyadi

Alibasa

2022

2022 IEEE World AI IoT Congress (AIIoT)

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Implementation of Semantic Textual Similarity between Requirement Specification and Use Case Description Using WUP Method (Case Study: Sipjabs Application)

Cited by 9 publications

References 19 publications

An Approach to Cluster Scenarios According to Their Similarity Using Natural Language Processing

An Approach to Cluster Scenarios According to Their Similarity Using Natural Language Processing

IdVar4CL: Causal Loop Variable Identification Method for Systems Thinking Based on Text Mining Approach

Measurement of Similarity Between Requirement Elicitation and Requirement Specification Using Text Pre-Processing in the Cinemaloka Application

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