A Novel Natural Language Processing (NLP) Approach to Automatically Generate Conceptual Class Model from Initial Software Requirements

Ahmed, Mudassar Adeel; Butt, Wasi Haider; Ahsan, Imran; Anwar, Muhammad Waseem; Latif, Muhammad; Azam, Farooque

doi:10.1007/978-981-10-4154-9_55

Cited by 8 publications

(7 citation statements)

References 11 publications

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“…However, English language can be written in different styles and it is not possible manage each style in proposed framework. In this regard, we developed few guidelines (Section III) for writing textual requirements on the basis of literature [33]- [36]. These guidelines are standard procedure which is commonly used for the specification of software requirements.…”

Section: Discussion and Limitationsmentioning

confidence: 99%

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A Novel Framework to Automatically Generate IFML Models From Plain Text Requirements

et al. 2019

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User Interfaces (UI's) are highly important in this era of web and mobile applications. Therefore, an efficient and accurate development of UI's is desirable in early Software Development Life Cycle (SDLC) phases. To achieve this, Object Management Group (OMG) introduced Interaction Flow Modeling Language (IFML) standard in 2013. IFML provides the modeling of manifold UI's for different applications like mobile, web and desktop. Although IFML is based on Model Driven Engineering (MDE) principle, the development of user interface models from initial requirements is still complex and time consuming task. Particularly, it requires domain expertise to understand several IFML concepts like domain model, view container etc. for the proper modeling of user interfaces. Consequently, there is a strong need of an approach to automate the development of IFML models from initial plain text requirements. This article presents a novel framework to automatically generate IFML models from textual requirements by utilizing the features of Natural Language Processing (NLP). Particularly, a set of NLP rules are developed to extract important IFML elements like View Components, Events etc. from textual requirements. Furthermore, a comprehensive algorithm is developed for the systematic execution of NLP rules in order to generate both IFML Domain and Core models. As a part of research, a sophisticated T ext to IFML (T2IF) tool is developed. The feasibility of proposed framework is demonstrated through movie manager and online bookstore case studies. The evaluation results prove that the proposed framework is capable of generating IFML models from textual requirements with high accuracy.

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Section: Discussion and Limitationsmentioning

confidence: 99%

“…NLP is frequently utilized to automate different SDLC phases e.g. requirement phase [45], design phase [36], testing phase [46] etc. For example, the authors in [29] aim to produce automated Unified Modeling Language (UML) diagrams from requirements written in natural language with the application of Natural Language Processing.…”

Section: B Literature Reviewmentioning

confidence: 99%

A Novel Framework to Automatically Generate IFML Models From Plain Text Requirements

et al. 2019

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“…Thakur and Gupta (2014) used NLP and IR to obtain proper nouns, noun phrases, and verbs from the use case specifications used for MT. A few studies (Sagar and Abirami, 2014;Ahmed et al, 2017;Jaiwai and Sammapun, 2017) used NLP and IR to obtain nouns, verbs, adjectives, adverbs, and typed dependencies from textual requirements used for MT. Abirami et al (2015) used NLP and IR to tokenize textual requirements into a list of sentences, which were then clustered into NFRs and FRs.…”

Section: Methods Techniques Approaches and Toolsmentioning

confidence: 99%

A scoping review of auto-generating transformation between software development artifacts

Siahaan,

Fauzan,

Widyadhana

et al. 2024

Front. Comput. Sci.

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Every process within software development refers to a specific set of input and output artifacts. Each artifact models specific design information of a system, yet they complement each other and make an improved system description. The requirements phase is an early stage of software development that drives the rest of the development process. Throughout the software development life cycle, checking that every artifact produced in every development stage should comply with the given requirements is necessary. Moreover, there should be relatedness between elements within artifacts of different development stages. This study provides an overview of the conformity between artifacts and the possibility of artifact transformation. This study also describes the methods and tools used in previous studies for ensuring the conformity of artifacts with requirements in the transformation process between artifacts. It also provides their applications in the real world. The review identified three applications, seven methods and approaches, and five challenges in ensuring the conformity of artifacts with requirements. We identified the artifacts as class diagrams, aspect-oriented software architecture, architectural models, entity relationship diagrams, and sequence diagrams. The applications for ensuring the conformity of artifacts with requirements are maintaining traceability, software verification and validation, and software reuse. The methods include information retrieval, natural language processing, model transformations, text mining, graph-based, ontology-based, and optimization algorithms. The benefits of adopting methods and tools for ensuring the conformity of artifacts with requirements can motivate and assist practitioners in designing and creating artifacts.

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“…In some efforts, the goal is to convert existing requirements, elicited through conventional elicitation techniques, into some other form (e.g. from a model to textual descriptions or vice versa) [14], or to automate subsequent RE activities based on existing requirements [15]. A research track concerns eliciting requirements from more dynamic data sources, motivated by the increasing prevalence of user feedback.…”

Section: Data-driven Requirements Elicitationmentioning

confidence: 99%

A Data-Driven Framework for Automated Requirements Elicitation from Heterogeneous Digital Sources

Henriksson

Zdravković

2020

Lecture Notes in Business Information Processing

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Increased digitalization and the pervasiveness of Big Data, along with vastly improved data processing capabilities, have led to the consideration of digital data as additional sources of system requirements, complementing conventional stakeholder-driven approaches. The volume, velocity and variety of these digital sources present numerous challenges which existing system development methods are unable to manage in a systematic and efficient manner. We propose a holistic and data-driven framework for continuous and automated acquisition, analysis and aggregation of heterogeneous digital sources for the purposes of requirements elicitation and management. The proposed framework includes a conceptualization in the form of a meta-model and a high-level process for its use; the framework is illustrated in a real case of an enterprise software.

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A Novel Natural Language Processing (NLP) Approach to Automatically Generate Conceptual Class Model from Initial Software Requirements

Cited by 8 publications

References 11 publications

A Novel Framework to Automatically Generate IFML Models From Plain Text Requirements

A Novel Framework to Automatically Generate IFML Models From Plain Text Requirements

A scoping review of auto-generating transformation between software development artifacts

A Data-Driven Framework for Automated Requirements Elicitation from Heterogeneous Digital Sources

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