Ontology Software Quality Model for Fuzzy Logic Evaluation Approach

Kara, Madjid; Lamouchi, Olfa; Ramdane-Chérif, Amar

doi:10.1016/j.procs.2016.04.143

Cited by 8 publications

(2 citation statements)

References 2 publications

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“…For software quality, SQuAP is using the ISO25010 standard, and can be easily extendable. Kara et al [10] proposed a generic software quality model based on existing software standards that can be instantiated using an algorithm based on fuzzy logic.…”

Section: Sq Modelsmentioning

confidence: 99%

Evolution of Software Quality Models from an NLP Perspective

Lupsa

Motogna

Ciuciu

2020

Studia UBB Informatica

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The research question addressed in this study is to analyze the evolution of software quality models, and to investigate the similarities between the most known quality models. The models are decomposed according to their inherent structure, then are analyzed based on their subcharacteristics, at several levels. The focus of the study is on the lexical analysis of software quality models based on natural language processing, with the purpose to highlight the similarities in software quality models. In the end, the current software quality model ISO25010 is compared with all previous ones.

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Section: Sq Modelsmentioning

confidence: 99%

Evolution of Software Quality Models from an NLP Perspective

Lupsa

Motogna

Ciuciu

2020

Studia UBB Informatica

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“…The aim of our study is to present a new global evaluation approach of a software quality model extracted from an ambient distributed system. We have proposed a generic software quality models described in [12], based on several quality standards as well as models proposed by others researchers. Equivalence relations will be established between criteria of these standards.…”

Section: Introductionmentioning

confidence: 99%

Software Quality Assessment Algorithm Based on Fuzzy Logic

2017

(JUSPN)

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In this paper an attempt has been made to provide a new global evaluation approach of a specified software quality model extracted from a generic software quality model using an instantiation procedure. The evaluation is based on data extracted from an ambient distributed system composed of fusion and fission agents connected to input/output services. These data are linked to the appropriate metrics of our software quality model and we use quality factors stated in ISO standards and different models of researchers represented under an ontology. We use equivalent relations to link criteria that have the same meaning and fuzzy logic approach to evaluate the entire software quality model. Our work presents the following contributions: (i) creating a generic software quality model based on several existing software quality standards and formalized under ontology concepts (ii) proposing an instantiation algorithm to extract specified software quality model from a generic software quality models (iii) proposing a new global evaluation approach of the specified software quality model using two processes, the first one executes metrics related to sensors data and the second one uses the result of the first process using fuzzy logic approach evaluating the entire specified software quality model and end up with a final numerical result (iv) adding the variability of metric variables algorithm to determine the impact of a possible variation of one criterion on others and avoid their penalization. This can help to conduct a trade-off-analysis in the proposed quality evaluation approach.

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