Кафедра комп’ютерної інженерії та інформаційних систем

Постійне посилання зібрання

https://elar.khmnu.edu.ua/handle/123456789/579

Переглянути

Перегляд Кафедра комп’ютерної інженерії та інформаційних систем за Ключові слова "artificial neural network"

Зараз показуємо 1 - 4 з 4
  • Ескіз
    Документ
    Intelligent Support of Process of Evaluation and Prediction of Software Complexity and Quality
    (НВФ "Українські технології", 2011) Поморова, Оксана Вікторівна; Pomorova, O.V.; Говорущенко, Тетяна Олександрівна; Hovorushchenko, T.O.
    Research is dedicated to development of artificial neural network's method and intelligence system of evaluation and prediction of software complexity and quality, which provides the realization of comparative analysis of different project versions and selection of the best of them accordance its characteristics on the basis of design stage metrics analysis.
  • Ескіз
    Документ
    Problems of software hidden bugs identification neuronet technique realization
    (Дніпропетровський національний університет ім.О.Гончара, 2009) Говорущенко, Тетяна Олександрівна; Govorushchenko, T.O.
    Essence of category software retesting process model and software hidden bugs identi-fication neuronet technique, realization of software hidden bugs identification system and problems of technique realization are elucidated in article.
  • Ескіз
    Документ
    The Intelligence System of Software Complexity and Quality Evaluation and Prediction
    (НАУ "ХАІ", 2011) Поморова, Оксана Вікторівна; Pomorova, O.; Говорущенко, Тетяна Олександрівна; Hovorushchenko, T.O.
    Considering the software evaluation methods analysis results conclusion was drawn, that the perspective research direction is development of intelligent systems, which will be analyzed and processed the design stage metrics analysis results and will be provided the project evaluation and the designed software characteristics prediction. Intelligence System of Software Complexity and Quality Evaluation and Prediction (ISCQEP) is designed to the evaluation of design stage results and prediction of software complexity and quality characteristics on the basis of processing of design stage metrics with exact and predicted values. Quantitative exact and predicted values of design stage metrics is given to the ISCQEP input, and conclusions about the project and designed software complexity and quality are the results of the system functioning. Today the main parameters in the selection of software project version are the design cost and time and designing company reputation, but a decisions on the basis of these parameters are not always guarantee the proper software quality. ISCQEP conclusions allow to compare the different project versions, when the cost and time is approximately equal. The proposed intelligence system of software complexity and quality evaluation and prediction provides the motivated and grounded decision about selection of project on the basis not only cost and time, but also considering project and designed software complexity and quality.
  • Ескіз
    Документ
    The Intelligent Decision Support System for Choice of Software Project
    (University Publishing House, University of Zilina, 2012) Поморова, Оксана Вікторівна; Pomorova, O.; Говорущенко, Тетяна Олександрівна; Hovorushchenko, T.O.
    The analysis of the software evaluation methods was conducted. The perspective research direction to improve the software quality is development of intelligent systems (IS). IS will analyze and process the design stage metrics. Also IS will evaluate the project and provide the prediction of the characteristics of designed software. The developed intelligent decision support system for choice of software project is named as Intelligent System of Software Complexity and Quality Evaluation and Prediction (ISCQEP). ISCQEP is designed for the evaluation of design stage results and prediction of software complexity and quality characteristics on the basis of processing of design stage metrics with exact and predicted values. The conclusions about project and designed software complexity and quality are the results of the system functioning. Today the main parameters in the choice of software project are design cost, design time and designing company reputation. But the decisions on the basis of these parameters are not always guarantee the proper software quality. ISCQEP conclusions allow comparing the different project versions, when design cost and design time is approximately equal. The proposed IS provides the motivated and grounded decision about choice of software project taking into account the complexity and quality of project and designed software.