An Ontology Framework for Generating Requirements Specification

Yanuarifiani, Amarilis Putri; Chua, Fang-Fang; Chan, Gaik Yee

doi:10.18517/ijaseit.10.3.10164

Cited by 5 publications

(2 citation statements)

References 9 publications

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“…Furthermore, Yanuarifiani et al (2020) present rule-based ontology in support of the requirements elicitation process while avoiding the possibility of missing or mismatching the requirements in preparing the requirements specification documents. Hallberg et al (2014) present system development ontology that discusses the fundamental definitions of general concepts, description concepts, realization concepts, and appearance concepts, also their dependencies and relationships in the systems development activities.…”

Section: Related Workmentioning

confidence: 99%

An Ontology based Framework for E-Government Regulatory Requirements Compliance

Hasan

Anagnostopoulos

Kousiouris

et al. 2019

International Journal of E-Services and Mobile Applications

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E-Government has gained an enormous amount of attention by researchers and practitioners interested in digitizing the public sector through enacting policies and regulations. Compliance of regulatory requirements from these policies and regulations is an important requirement in e-Government service development projects. However, the concepts of regulatory requirements compliance are still scattered around in developing e-Government services. This article presents an e-Government regulatory requirement compliance (eGRRC) ontology framework that describes the interrelated concepts of regulatory requirements compliance in e-Government service development. The proposed eGRRC ontology is then applied on the recently introduced general data protection regulation (GDPR) for personal data processing across European Union (EU) countries, in order to indicate how the concepts can be mapped to the defined entities. The contribution of this article is on introducing a framework for researchers and practitioners to explore regulatory requirements compliance and their interrelationships in e-Government service development. Furthermore, e-Government legislation can accordingly be modeled using on the eGRRC ontology, that serves as basis for queries to infer knowledge about the source of regulatory requirements, objectives of the regulation, various types of requirements, the services affected, orientation of regulatory rules in requirements, priorities, and amendments of regulations in e-Government service development.

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Section: Related Workmentioning

confidence: 99%

An Ontology based Framework for E-Government Regulatory Requirements Compliance

Hasan

Anagnostopoulos

Kousiouris

et al. 2019

International Journal of E-Services and Mobile Applications

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“…In an object-oriented approach, requirements engineers deliver a SRS, which is a document that serves as a guideline for the subsequent processes of software development [5]. Therefore, the SRS should have a set of quality attributes in order to maintain the quality of the end product.…”

Section: Introductionmentioning

confidence: 99%

A Novel Framework to Detect Irrelevant Software Requirements Based on MultiPhiLDA as the Topic Model

Siahaan¹,

Darnoto²

2022

Preprint

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Noise in requirements has been known to be a defect in software requirements specifications (SRS). Detecting defects at an early stage is crucial in the process of software development. Noise can be in the form of irrelevant requirements that are included within a SRS. A previous study had attempted to detect noise in SRS, in which noise was considered as an outlier. However, the resulting method only demonstrated a moderate reliability due to the overshadowing of unique actor words by unique action words in the topic-word distribution. In this study, we propose a framework to identify irrelevant requirements based on the MultiPhiLDA method. The proposed framework distinguishes the topic-word distribution of actor words and action words as two separate topic-word distributions with two multinomial probability functions. Weights are used to maintain a proportional contribution of actor and action words. We also explore the use of two outlier detection methods, namely Percentile-based Outlier Detection (PBOD) and Angle-based Outlier Detection (ABOD), to distinguish irrelevant requirements from relevant requirements. The experimental results show that the proposed framework was able to exhibit better performance than previous methods. Furthermore, the use of the combination of ABOD as the outlier detection method and topic coherence as the estimation approach to determine the optimal number of topics and iterations in the proposed framework outperformed the other combinations and obtained sensitivity, specificity, F1-score, and G-mean values of 0.59, 0.65, 0.62, and 0.62, respectively.

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