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Wyszukujesz frazę "requirement" wg kryterium: Temat


Wyświetlanie 1-4 z 4
Tytuł:
SIoT Framework: Towards an Approach for Early Identification of Security Requirements for Internet-of-things Applications
Autorzy:
Jabangwe, Ronald
Nguyen-Duc, Anh
Powiązania:
https://bibliotekanauki.pl/articles/384191.pdf
Data publikacji:
2020
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
security requirement
Internet-of-things
software engineering
requirement engineering
security framework
Opis:
Background: Security has become more of a concern with the wide deployment of Internet-of-things (IoT) devices. The importance of addressing security risks early in the development lifecycle before pushing to market cannot be over emphasized. Aim: To this end, we propose a conceptual framework to help with identifying security concerns early in the product development lifecycle for Internet-of-things, that we refer to as SIoT (Security for Internet-of-Things). Method: The framework adopts well known security engineering approaches and best practices, and systematically builds on existing research work on IoT architecture. Results: Practitioners at a Norwegian start-up company evaluated the framework and found it useful as a foundation for addressing critical security concerns for IoT applications early in the development lifecycle. The output from using the framework can be a checklist that can be used as input during security requirements engineering activities for IoT applications. Conclusions: However, security is a multi-faced concept; therefore, users of the SIoT framework should not view the framework as a panacea to all security threats. The framework may need to be refined in the future, particularly to improve its completeness to cover various IoT contexts.
Źródło:
e-Informatica Software Engineering Journal; 2020, 14, 1; 77-95
1897-7979
Pojawia się w:
e-Informatica Software Engineering Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Extending UML Use Case Diagrams to Represent Non-Interactive Functional Requirements
Autorzy:
Iqbal, Saqib
Al-Azzoni, Issam
Allen, Gary
Khan, Hikmat Ullah
Powiązania:
https://bibliotekanauki.pl/articles/384182.pdf
Data publikacji:
2020
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
use case
modeling
UML
requirements engineering
functional requirement
Opis:
Background: The comprehensive representation of functional requirements is a crucial activity in the analysis phase of the software development life cycle. Representation of a complete set of functional requirements helps in tracing business goals effectively throughout the development life cycle. Use case modelling is one of the most widely-used methods to represent and document functional requirements of the system. Practitioners exploit use case modelling to represent interactive functional requirements of the system while overlooking some of the non-interactive functional requirements. The non-interactive functional requirements are the ones which are performed by the system without an initiation by the user, for instance, notifying something to the user or creating an internal backup. Aim: This paper addresses the representation of non-interactive requirements along with interactive ones (use cases) in one model. This paper calls such requirements 'operation cases' and proposes a new set of graphical and textual notations to represent them. Method: The proposed notations have been applied on a case study and have also been empirically evaluated to demonstrate the effectiveness of the new notations in capturing non-interactive functional requirements. Results and Conclusion: The results of the evaluation indicate that the representation of operation cases helps in documenting a complete set of functional requirements, which ultimately results in a comprehensive translation of requirements into design.
Źródło:
e-Informatica Software Engineering Journal; 2020, 14, 1; 97-115
1897-7979
Pojawia się w:
e-Informatica Software Engineering Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multi-criteria model for determining order size
Autorzy:
Jakowska-Suwalska, K.
Powiązania:
https://bibliotekanauki.pl/articles/406530.pdf
Data publikacji:
2013
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
multicriteria decision support
stock control
material requirement planning
Opis:
A multi-criteria model for determining the order size for materials used in production has been presented. It was assumed that the consumption rate of each material is a random variable with a known probability distribution. Using such a model, in which the purchase cost of materials ordered is limited, three criteria were considered: order size, probability of a lack of materials in the production process, and deviations in the order size from the consumption rate in past periods. Based on an example, it has been shown how to use the model to determine the order sizes for polyurethane adhesive and wood in a hard-coal mine.
Źródło:
Operations Research and Decisions; 2013, 23, 2; 43-54
2081-8858
2391-6060
Pojawia się w:
Operations Research and Decisions
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Mining Non-Functional Requirements using Machine Learning Techniques
Autorzy:
Jindal, Rajni
Malhotra, Ruchika
Jain, Abha
Bansal, Ankita
Powiązania:
https://bibliotekanauki.pl/articles/2060908.pdf
Data publikacji:
2021
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
requirement engineering
text mining
non-functional requirements
machine learning
receiver operating characteristics
Opis:
Background: Non-Functional Requirements (NFR) have a direct impact on the architecture of the system, thus it is essential to identify NFRs in the initial phases of software development. Aim: The work is based on extraction of relevant keywords from NFR descriptions by employing text mining steps and thereafter classifying these descriptions into one of the nine types of NFRs. Method: For each NFR type, keywords are extracted from a set of pre-categorized specifications using Information-Gain measure. Then models using 8 Machine Learning (ML) techniques are developed for classification of NFR descriptions. A set of 15 projects (containing 326 NFR descriptions) developed by MS students at DePaul University are used to evaluate the models. Results: The study analyzes the performance of ML models in terms of classification and misclassification rate to determine the best model for predicting each type NFR descriptions. The Naïve Bayes model has performed best in predicting “maintainability” and “availability” type of NFRs. Conclusion: The NFR descriptions should be analyzed and mapped into their corresponding NFR types during the initial phases. The authors conducted cost benefit analysis to appreciate the advantage of using the proposed models.
Źródło:
e-Informatica Software Engineering Journal; 2021, 15, 1; 85--114
1897-7979
Pojawia się w:
e-Informatica Software Engineering Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-4 z 4

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