Requirements Elicitation Techniques for Dynamic Parameterization of Feature Extraction Algorithms in Image Processing: A Survey

Edmore Chikohora; Bokuhwo M. Esiefarienrhe; Teressa T. Chikohora

doi:10.1109/OI.2018.8535620

Requirements Elicitation Techniques for Dynamic Parameterization of Feature Extraction Algorithms in Image Processing: A Survey

Edmore Chikohora, Bokuhwo M. Esiefarienrhe, Teressa T. Chikohora

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Requirements Elicitation (RE) is a formal practice focusing on collecting users' needs, whereas dynamic parameterization (DP) is the process of finding parametric equivalence of an algorithm whose state evolves with time. Traditional data acquisition methods such as interviews, observations and questionnaires are faced with challenges especially when it comes to eliciting requirements for dynamic algorithms unambiguously. In this study, we did a comprehensive survey on contemporary RE approaches for dynamic parameterization and the factors to consider when selecting an approach to use in Feature Extraction Algorithms (FEA). Based on our findings we proposed a model that optimizes the process of RE for dynamic algorithms. A case study approach was used to evaluate the implementation our proposal.

Original language	English
Title of host publication	2018 Open Innovations Conference, OI 2018
Editors	Cecil Ouma
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	87-95
Number of pages	9
ISBN (Electronic)	9781538653166
DOIs	https://doi.org/10.1109/OI.2018.8535620
Publication status	Published - 15 Nov 2018
Externally published	Yes
Event	2018 Open Innovations Conference, OI 2018 - Johannesburg, South Africa Duration: 3 Oct 2018 → 5 Oct 2018

Publication series

Name	2018 Open Innovations Conference, OI 2018

Conference

Conference	2018 Open Innovations Conference, OI 2018
Country/Territory	South Africa
City	Johannesburg
Period	3/10/18 → 5/10/18

Keywords

Case base
Feature extraction
Heuristics
Ontology
Requirements elicitation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/OI.2018.8535620

Cite this

Chikohora, E., Esiefarienrhe, B. M., & Chikohora, T. T. (2018). Requirements Elicitation Techniques for Dynamic Parameterization of Feature Extraction Algorithms in Image Processing: A Survey. In C. Ouma (Ed.), 2018 Open Innovations Conference, OI 2018 (pp. 87-95). Article 8535620 (2018 Open Innovations Conference, OI 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/OI.2018.8535620

Chikohora, Edmore ; Esiefarienrhe, Bokuhwo M. ; Chikohora, Teressa T. / Requirements Elicitation Techniques for Dynamic Parameterization of Feature Extraction Algorithms in Image Processing : A Survey. 2018 Open Innovations Conference, OI 2018. editor / Cecil Ouma. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 87-95 (2018 Open Innovations Conference, OI 2018).

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title = "Requirements Elicitation Techniques for Dynamic Parameterization of Feature Extraction Algorithms in Image Processing: A Survey",

abstract = "Requirements Elicitation (RE) is a formal practice focusing on collecting users' needs, whereas dynamic parameterization (DP) is the process of finding parametric equivalence of an algorithm whose state evolves with time. Traditional data acquisition methods such as interviews, observations and questionnaires are faced with challenges especially when it comes to eliciting requirements for dynamic algorithms unambiguously. In this study, we did a comprehensive survey on contemporary RE approaches for dynamic parameterization and the factors to consider when selecting an approach to use in Feature Extraction Algorithms (FEA). Based on our findings we proposed a model that optimizes the process of RE for dynamic algorithms. A case study approach was used to evaluate the implementation our proposal.",

keywords = "Case base, Feature extraction, Heuristics, Ontology, Requirements elicitation",

author = "Edmore Chikohora and Esiefarienrhe, {Bokuhwo M.} and Chikohora, {Teressa T.}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 Open Innovations Conference, OI 2018 ; Conference date: 03-10-2018 Through 05-10-2018",

year = "2018",

month = nov,

day = "15",

doi = "10.1109/OI.2018.8535620",

language = "English",

series = "2018 Open Innovations Conference, OI 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Chikohora, E, Esiefarienrhe, BM & Chikohora, TT 2018, Requirements Elicitation Techniques for Dynamic Parameterization of Feature Extraction Algorithms in Image Processing: A Survey. in C Ouma (ed.), 2018 Open Innovations Conference, OI 2018., 8535620, 2018 Open Innovations Conference, OI 2018, Institute of Electrical and Electronics Engineers Inc., pp. 87-95, 2018 Open Innovations Conference, OI 2018, Johannesburg, South Africa, 3/10/18. https://doi.org/10.1109/OI.2018.8535620

Requirements Elicitation Techniques for Dynamic Parameterization of Feature Extraction Algorithms in Image Processing: A Survey. / Chikohora, Edmore; Esiefarienrhe, Bokuhwo M.; Chikohora, Teressa T.
2018 Open Innovations Conference, OI 2018. ed. / Cecil Ouma. Institute of Electrical and Electronics Engineers Inc., 2018. p. 87-95 8535620 (2018 Open Innovations Conference, OI 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Requirements Elicitation (RE) is a formal practice focusing on collecting users' needs, whereas dynamic parameterization (DP) is the process of finding parametric equivalence of an algorithm whose state evolves with time. Traditional data acquisition methods such as interviews, observations and questionnaires are faced with challenges especially when it comes to eliciting requirements for dynamic algorithms unambiguously. In this study, we did a comprehensive survey on contemporary RE approaches for dynamic parameterization and the factors to consider when selecting an approach to use in Feature Extraction Algorithms (FEA). Based on our findings we proposed a model that optimizes the process of RE for dynamic algorithms. A case study approach was used to evaluate the implementation our proposal.

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KW - Ontology

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Chikohora E, Esiefarienrhe BM, Chikohora TT. Requirements Elicitation Techniques for Dynamic Parameterization of Feature Extraction Algorithms in Image Processing: A Survey. In Ouma C, editor, 2018 Open Innovations Conference, OI 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 87-95. 8535620. (2018 Open Innovations Conference, OI 2018). doi: 10.1109/OI.2018.8535620

Requirements Elicitation Techniques for Dynamic Parameterization of Feature Extraction Algorithms in Image Processing: A Survey

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

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