Identifying knowledge components in software requirement elicitation

Taheri, Laleh; Pa, Noraini Che; Abdullah, Rusli; Abdullah, Salfarina; Shafazand, Mohammad Yaser

doi:10.1109/ieem.2014.7058645

Cited by 6 publications

(3 citation statements)

References 22 publications

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“…Based on the theoretical study, an initial model was proposed; this model was described in Taheri, Pa, Abdullah, and Abdullah (). The KA components and their relationships were verified based on the results of a survey that is presented in Taheri, Pa, Abdullah, Abdullah, and Shafazand (). The model was refined in accordance to the results of the survey to illustrate it in a more understandable way.…”

Section: Knowledge Audit Model For Requirements Elicitation Processmentioning

confidence: 99%

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A knowledge audit model for requirement elicitation: A case study to assess knowledge in requirement elicitation

Taheri

Shafazand

et al. 2017

Knowl Process Manag

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This paper aims to develop a knowledge audit (KA) model with the focus on knowledge assessment in the requirements elicitation process (REP) to allay the problems of REP regarding knowledge communication. The principal problems with REP are knowledge conflict and the failure to mention a variety of knowledge and requirements changes. Despite of many existing studies relating to KA, inadequate effort has been directed towards investigating the full part played by the KA process in REP. The purpose of this paper is to bridge this gap using a software prototype that uses the KA model in the REP. This study proposes a KA model using an iterative triangulation method. The proposed model is validated through a case study by using a software prototype developed based on the proposed KA model to see if this KA model is effective for software developers in REP by improving the completeness, correctness, and understandability of the elicited requirements knowledge. Research findings are based on responses of 40 respondents from software development organizations. The results of case study confirmed the effectiveness of KA model for REP with respect to completeness, correctness, and understandability. This research answers the call to assess knowledge in REP by developing a KA model and prototype to fill the existing gap in this area. Overall, a KA model for REP is introduced and validated to identify and assess knowledge that supports knowledge communication in REP.

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Section: Knowledge Audit Model For Requirements Elicitation Processmentioning

confidence: 99%

“…The KA components and their relationships were verified based on the results of a survey that is presented in Taheri, Pa, Abdullah, Abdullah, and Shafazand (2014). The model was refined in accordance to the results of the survey to illustrate it in a more understandable way.…”

Section: Knowledge Audit Model For Requirements Elicitation Processmentioning

confidence: 99%

A knowledge audit model for requirement elicitation: A case study to assess knowledge in requirement elicitation

Taheri

Shafazand

et al. 2017

Knowl Process Manag

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“…Basically, these processes are bound to vary at different levels depending on the kind of people that will be involved, organisational requirements and the application domain that is being employed. RE-E is a process that is used to determine and discover the needs of the clients or customers to find application domain [4], RA declares exactly what the software project is aimed to achieve [5], RS is used to document and presents a blueprint to the stakeholders for the process of software development [6], RVV acts as a proof that the software product may meet the needs of the stakeholders or customers [2] and finally RM is responsible for ensuring the existing requirements' modification are done in a controlled manner [7]. Figure 1 shows the activities involved in RE.…”

Section: Requirement Engineeringmentioning

confidence: 99%

Onto-Engineering: A Conceptual framework for Integrating Requirement Engineering Process with scientifically tuned Digital Forensics Ontologies

Kebande¹,

Maake²

2017

IJCSDF

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A framework for integrating Requirement Engineering (RE) with scientifically tuned Digital Forensics Ontologies (SDFO) envisages a semantic web-driven approach that is able to provide a shared understanding of unifying RE techniques coupled with digital investigation techniques that are tuned from an ontological perspective. In the context of this paper, RE has been portrayed as a discipline that can not only be able to validate, specify, analyse and provide elicitation of the requirements but also to manage them effectively. Nevertheless, SDFO have been employed as bodies of knowledge that provides a shared understanding of knowledge or discipline within the Digital Forensic (DF) domain that helps to solve some given problems. Mainly, this requires the mapping/integrating of RE processes to DF tuned ontologies. The objective of the work presented in this paper, therefore, is to show how RE can be integrated into SDFO with the aim of identifying the most effective scientific approaches using an OntoTuning Matcher (OTM) that has been proposed in this paper. This paper was able to represent a scientifically tuned approach using the Automatic Semantic Mapping of Ontologies (ASMOV) approach. ASMOV provides an approach that is able to align ontologies with other systems such that inconsistencies are eliminated and the accuracy is increased. The contribution of the paper is presented in two folds: Firstly, the author identifies a high-level Onto-Engineered framework for integrating RE and SDFO, thereafter, a more detailed Onto-Engineered framework is discussed. The Onto-Engineered framework that has been discussed in this paper will help to clarify different diversification aspects that exists between RE and SDFO.

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A knowledge audit model to assess the knowledge in requirement elicitation process

Taheri

Abdullah

et al. 2015

2015 9th Malaysian Software Engineering Conference (MySEC)

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There is a great deal of knowledge in requirement elicitation process (REP), because there are different stakeholders with various knowledge backgrounds. Different backgrounds of knowledge lead to different ways of knowledge expression that negatively affect knowledge understandability and cause ambiguity. Knowledge ambiguity results in incorrect interpretation of knowledge and requirements. On the other hand, different stakeholders have different needs and expectations from the software to be developed. This problem causes conflicting information and also negatively affects the correctness of knowledge. Furthermore, stakeholders may ignore mentioning some knowledge because they think it is obvious or their requirements change over time, this negatively affects completeness of knowledge in REP. To mitigate these problems, it is necessary to identify and assess the knowledge in REP. Knowledge Audit (KA) is the process of knowledge analysis and assessment. Therefore, this research introduces a KA model to support knowledge communication among stakeholders through objectively assessing the knowledge in REP.

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Identifying knowledge components in software requirement elicitation

Cited by 6 publications

References 22 publications

A knowledge audit model for requirement elicitation: A case study to assess knowledge in requirement elicitation

A knowledge audit model for requirement elicitation: A case study to assess knowledge in requirement elicitation

Onto-Engineering: A Conceptual framework for Integrating Requirement Engineering Process with scientifically tuned Digital Forensics Ontologies

A knowledge audit model to assess the knowledge in requirement elicitation process

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