Моделювання процесу оцінювання достатності інформації щодо якості у специфікаціях вимог до програмного забезпечення
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Файли
Дата
2017
Автори
Говорущенко, Т.О.
Поморова, О.В.
Hovorushchenko, T.O.
Pomorova, O.V.
Назва журналу
Номер ISSN
Назва тому
Видавець
Хмельницький національний університет
Анотація
Метою даного дослідження є розроблення моделей процесу оцінювання достатності інформації для
визначення якості програмного забезпечення на основі стандарту ISO 25010:2011, моделей процесу оцінювання
достатності інформації для визначення якості та складності програмного забезпечення з використанням
результатів метричного аналізу, моделі процесу оцінювання результатів проектування та прогнозування
характеристик програмного забезпечення на основі штучної нейронної мережі. Розроблені моделі дають
можливість відобразити особливості процесу оцінювання достатності інформації щодо якості у специфікації
вимог до ПЗ, формалізувати процес оцінювання достатності інформації щодо якості у специфікації вимог до ПЗ, а
також забезпечують теоретичне підґрунтя для розроблення методів та засобів оцінювання достатності
інформації щодо якості у специфікаціях вимог до ПЗ.
The aim of this study is the development of: the models of the process of evaluating the sufficiency of information for the software quality assessment on the basis of ISO 25010: 2011, the models of the process of evaluating the sufficiency of information for the software quality and complexity assessment using the metric analysis results, the model of the process of evaluating the design results and predicting the software characteristics based on artificial neural network. The developed models models of the software quality by ISO 25010 and the models of the software quality and complexity using metric analysis results based on ontologies and weighted ontologies provide the modelling the process of evaluating the sufficiency of the information on quality in the software requirements specifications. The developed information models of the process of evaluating the sufficiency of the information for determining the software quality by ISO 25010:2011 and for determining the software quality and complexity using the results of metric analysis reflect the peculiarities of the process of evaluating the sufficiency of the information on quality in the software requirements specifications of, and the relationship between software quality models based on ISO 25010 on the basis of ontologies, between software quality and complexity models using the metric analysis results based on ontologies. The developed models of the process of evaluating the sufficiency of the information for determining the software quality by ISO 25010:2011 and for determining the software quality and complexity using metric analysis results formalize the process of evaluating the sufficiency of the information on quality in the software requirements specifications and provide the theoretical basis for the development of the methodology of evaluating the sufficiency of the information on quality in the software requirements specifications. The proposed concept of evaluating the design results and predicting the software characteristics provided the possibility to develop the model of the process of evaluating the design results and predicting the software characteristics based on artificial neural network. The developed model of the process of evaluating the design results and predicting the software characteristics based on ANN differs from the known models because it provides to take into account the weights and interactions of the quality and complexity software metrics within each characteristic of the software, and to estimate the total impact of metrics on the software characteristics (software project quality and complexity, predicted quality and complexity of software).
The aim of this study is the development of: the models of the process of evaluating the sufficiency of information for the software quality assessment on the basis of ISO 25010: 2011, the models of the process of evaluating the sufficiency of information for the software quality and complexity assessment using the metric analysis results, the model of the process of evaluating the design results and predicting the software characteristics based on artificial neural network. The developed models models of the software quality by ISO 25010 and the models of the software quality and complexity using metric analysis results based on ontologies and weighted ontologies provide the modelling the process of evaluating the sufficiency of the information on quality in the software requirements specifications. The developed information models of the process of evaluating the sufficiency of the information for determining the software quality by ISO 25010:2011 and for determining the software quality and complexity using the results of metric analysis reflect the peculiarities of the process of evaluating the sufficiency of the information on quality in the software requirements specifications of, and the relationship between software quality models based on ISO 25010 on the basis of ontologies, between software quality and complexity models using the metric analysis results based on ontologies. The developed models of the process of evaluating the sufficiency of the information for determining the software quality by ISO 25010:2011 and for determining the software quality and complexity using metric analysis results formalize the process of evaluating the sufficiency of the information on quality in the software requirements specifications and provide the theoretical basis for the development of the methodology of evaluating the sufficiency of the information on quality in the software requirements specifications. The proposed concept of evaluating the design results and predicting the software characteristics provided the possibility to develop the model of the process of evaluating the design results and predicting the software characteristics based on artificial neural network. The developed model of the process of evaluating the design results and predicting the software characteristics based on ANN differs from the known models because it provides to take into account the weights and interactions of the quality and complexity software metrics within each characteristic of the software, and to estimate the total impact of metrics on the software characteristics (software project quality and complexity, predicted quality and complexity of software).
Опис
Ключові слова
програмне забезпечення (ПЗ), специфікація вимог до ПЗ, якість програмного забезпечення, достатність інформації, онтологія, штучна нейронна мережа (ШНМ), штучна нейронна мережа (ШНМ), software, software requirements specification (SRS), software quality, sufficiency of information, ontology, artificial neural network (ANN)
Бібліографічний опис
Говорущенко, Т.О. Моделювання процесу оцінювання достатності інформації щодо якості у специфікаціях вимог до програмного забезпечення [Текст] / Т. О. Говорущенко, О. В. Поморова // Вісник Хмельницького національного університету. Технічні науки. – 2017. – № 6. – С. 70-80.