Towards a framework for estimating system NFRs on behavioral models

Mizouni, Rabeb; Salah, Aziz

doi:10.1016/j.knosys.2010.03.014

Cited by 11 publications

(4 citation statements)

References 22 publications

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“…Elmufti et al (2009) present an architectural solution with trust in the centre of research attention. Mizouni and Salah (2010) describe a non-functional requirements model for m-shopping application by including attributes of portability, ease of use (friendliness), an appropriate level of security, response time, and availability. Going beyond the limited article selections, many other journal articles have also taken into account a technological perspective with respect to the system architecture and framework.…”

Section: Technology Perspectivementioning

confidence: 99%

Mobile shopping: a classification framework and literature review

Groß

2015

International Journal of Retail &Amp; Distribution Management

177

167

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If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. AbstractPurpose -The purpose of this paper is to classify and organize the accumulated knowledge about mobile shopping (m-shopping) as revealed in the present literature regarding retail. A classification framework has been applied, consisting of three categories: online distribution channels, advanced technology for in-store shopping, and technology perspectives. Design/methodology/approach -A term-based search method was applied in which the literature was restricted to peer-reviewed articles in English-language journals of a certain date and specific online databases. Finally, 81 peer-reviewed articles, published between 2000 and 2012 around the world, were taken into account. Findings -Considering the retail environment, the interest in m-shopping for both advanced technology for in-store shopping and for the online distribution channel has increased continuously over the last decade. Moreover, while studies have mostly explored the consumers' acceptance and reactions to m-shopping themes, the technology perspective is still being researched. Research limitations/implications -Due to the selected term-based search method, the number of identified publications is limited. Additionally, the selected framework requires a corresponding assignment to an explicitly stated topic, which was not always possible. Originality/value -As far as the author knows, this paper provides the first systematic review of m-shopping literature, which not only helps to organize retail-based literature, but also investigates significant gaps on this topic, thus facilitating future research.

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Section: Technology Perspectivementioning

confidence: 99%

Mobile shopping: a classification framework and literature review

Groß

2015

International Journal of Retail &Amp; Distribution Management

177

167

View full text Add to dashboard Cite

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“…The proposed work in this paper helps in classifying the different tools in state of the art in automation requirement process on the basis of degree of tool automation, knowledge reused and evaluation of concepts. Mizouni and Salah (2010) proposed a framework to estimate the system non-functional requirements on behavior model. NFRs are not handled properly in behavior models at early stages cause in failure of the system.…”

Section: Literature Reviewmentioning

confidence: 99%

A review on automatic extraction and classification of non-functional requirements

Khan¹,

Khan

2017

Int. j. adv. appl. sci

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Extraction and classification of NFRs plays a vital role in the software development process. NFRs are often misunderstood and ignored due to which certain important aspect of the software such as robustness availability usability performance and security are compromised. Several different extraction and classification techniques proposed in the literature. In this study, we have made an effort to critically analyze different NFRs extraction and classification techniques in order to see their merits and demerits, as well as the scenarios in which these techniques can be helpful. Specifically we have identified the limitations of these techniques, their significance and the possible improvements that can be made to make these techniques more useful. In this paper, we have critically evaluated various techniques and methods proposed in the literature on the automatic extraction and classification of NFRs. The findings of the existing techniques are provided in the paper. The critical analysis tables are provided in this study to highlight the significance of NFRs extraction and classification technique.

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“…Requirements volatility refers to the growth or changes in project functional or non-functional [20] requirements during development lifecycle either by deletion, addition or modification [21]. Such changes usually impact the set of features under development.…”

Section: Human Resources Allocation In Project Managementmentioning

confidence: 99%

Project Schedule Simulation: Incorporating Human Factors’ Uncertainty and Features’ Priority in Task Modeling

Mizouni

Lazarova-Molnar

2015

JSW

Self Cite

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Abstract:Despite several attempts to accurately predict duration and cost of software projects, initial plans still do not reflect real-life situations. Since commitments with customers are usually decided based on these initial plans, software companies frequently fail to deliver on time and many projects overrun both their budget and time. To improve the quality of initial project plans, we show in this paper the importance of (1) reflecting features' priorities/risk in task schedules and (2) considering uncertainties related to human factors in plan schedules.To make simulation tasks reflect features' priority as well as multimodal team allocation, enhanced project schedules (EPS), where remedial actions scenarios (RAS) are added, were introduced. They reflect potential schedule modifications in case of uncertainties and promote a dynamic sequencing of involved tasks rather than the static conventional way of modeling schedules. This paper describes a methodology to introduce EPS models in the development of project plans. Our case study findings show clearly the ability of the EPS model to anticipate delays due to human factors and to predict remedial scenarios to adjust to such delays. By comparing EPS to classical schedules, EPS simulation provides more accurate results with regards to project goals.These instructions give you guidelines for preparing papers for Journal of Software (JSW). Use this document as a template if you are using Microsoft Word 6.0 or later. Otherwise, use this document as an instruction set. The electronic file of your paper will be formatted further at Journal of Software. Define all symbols used in the abstract. Do not cite references in the abstract. Do not delete the blank line immediately above the abstract; it sets the footnote at the bottom of this column.

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Towards a framework for estimating system NFRs on behavioral models

Cited by 11 publications

References 22 publications

Mobile shopping: a classification framework and literature review

Mobile shopping: a classification framework and literature review

A review on automatic extraction and classification of non-functional requirements

Project Schedule Simulation: Incorporating Human Factors’ Uncertainty and Features’ Priority in Task Modeling

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