A novel dynamic integrated model for automated requirements engineering process

Lafi, Mohammed; Qader, Akram Abdel

doi:10.1504/ijcat.2017.10009941

Cited by 2 publications

(2 citation statements)

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“…Data collection approach has the potential for establishing new principles (e.g., age, gender, geographical location, the nature of the job, or other incidence features of cancer and diabetes), which can reveal some of unknown features. As part of the JHS improvement, analysing involves using data features to provide the desired recommendations to establish an improvement plan, which may enhance data collection process in current JHSs (Ndume et al, 2013;Lafi and Qader, 2017).…”

Section: Data Collection Featuresmentioning

confidence: 99%

A national framework for e-health data collection in Jordan with current practices

AlSobeh

Klaib

AlYahya

2019

IJCAT

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This paper proposes a health data collection and integration framework for the Jordanian health sector. It aims to strengthen the quality of Jordanian Health Systems (JHS) and ensure the provision of sustainable high quality e-health services for populations. The framework is developed to prepare the strategy involving current practices for health data collection basedon DLL and V-Model. We studied critical features associated with collection and integration processes through concentrating on analysing a set of actual data (cancer and diabetes in Jordan). The result of analysis demonstrates the needs and optimum data collection process for e-health data and directs all Jordanian Health Organisations (JHOs) to work within a common mechanism, which can reduce data inconsistency, enhance the JHS's capacity and sustainability, leverage the quality of the delivered health services and reduce the cost of healthcare.

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Section: Data Collection Featuresmentioning

confidence: 99%

A national framework for e-health data collection in Jordan with current practices

AlSobeh

Klaib

AlYahya

2019

IJCAT

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“…The used catalogs based of the NFR Framework, as a supporting knowledge base. In [15] the authors proposed a dynamic model to collect and manage the requirements automatically. They proposed a compatible requirement template to the standard templates.…”

Section: Related Workmentioning

confidence: 99%

A novel intelligent model for classify and evaluating non-functional security requirements form scenarios

AbdelQader

2019

IJEECS

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Software requirements with its functional and non-functional methods are the first important phase in producing a software system with free errors. The functional requirements are the visual actions that may easily evaluated from the developer and from the user, but non-functional requirements are not visual and need a lot of efforts to be evaluated. One of the main important non-functional requirements is security, which focuses on generating secure systems from strangers. Evaluating the security of the system in earlier steps will help to reduce the efforts of reveals critical system threats. Security threats found because of leaking of security scenarios in requirement phase. In this paper, we purpose an intelligent model to extract and evaluate security features from scenarios based on set of security system goals and a set of security requirements saved on rich story scenarios dataset (RSSD). This model will used a support vector machine (SVM) classifier to classify the security requirement based on RSS dataset. The using of SVM will enhance the overall process of evaluating the security requirements. The results show a significant enhancement in security improvements.

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A novel dynamic integrated model for automated requirements engineering process

Cited by 2 publications

References 0 publications

A national framework for e-health data collection in Jordan with current practices

A national framework for e-health data collection in Jordan with current practices

A novel intelligent model for classify and evaluating non-functional security requirements form scenarios

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