Application of cognitive theories and knowledge management to requirements engineering

White, S.

doi:10.1109/systems.2010.5482489

Cited by 5 publications

(7 citation statements)

References 10 publications

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“…In [28] the author(s) emphasizes on the need of knowledge modelling in requirement engineering process. They claim that the requirement engineers should be able to understand the human's action in which the developed system will be implemented.…”

Section: Related Workmentioning

confidence: 99%

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Towards Knowledge Management in RE Practices to Support Software Development

Humayoun¹,

Qazi²

2015

JSEA

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Requirement engineering in any software development is the most important phase to ensure the success or failure of software. Knowledge modeling and management are helping tools to learn the software organizations. The traditional Requirements engineering practices are based upon the interaction of stakeholders which causes iteratively changes in requirements and difficulties in communication and understanding problem domain etc. So, to resolve such issues we use knowledge based techniques to support the RE practices as well as software development process. Our technique is based on two prospective, theoretical and practical implementations. In this paper, we described the need of knowledge management in software engineering and then proposed a model based on knowledge management to support the software development process. To verify our results, we used controlled experiment approach. We have implemented our model, and verify results by using and without using proposed knowledge based RE process. Our resultant proposed model can save the overall cost and time of requirement engineering process as well as software development.

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Section: Related Workmentioning

confidence: 99%

“…A knowledge has four dimensions; current situation of environment, experienced knowledge, group knowledge and cultural knowledge [30]. So by focusing all these pre requisites authors of [28] compare the cognitive theories and examine the improvements in the requirement engineering process.…”

Section: Related Workmentioning

confidence: 99%

Towards Knowledge Management in RE Practices to Support Software Development

Humayoun¹,

Qazi²

2015

JSEA

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“…When engineers construct models, they have to answer three questions: (1) what elements should be included in the model, (2) how should the elements they decide to include be represented, and (3) how should the relationships between the elements be represented? Stephane Leduc wrote that "Classes, divisions, and separations are all artificial, made not by nature but by man" [3].…”

Section: The Constructivist View Of Modelsmentioning

confidence: 99%

“…Even when presented with the information, few have skills in seeing horizontal connections, especially when the technical work of the "other" department or division is not familiar. Problem definition is a highly cognitive task requiring good investigative and communication skills, see [1]. It is important that the problem is defined adequately, or the system as designed will not solve the problem.…”

Section: Introductionmentioning

confidence: 99%

Using cybernetics with Soft Systems Methodology in complex system development

White

2012

2012 IEEE International Systems Conference SysCon 2012

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Our research investigates application of cybernetic concepts to problem definition which is often considered a project's most important and difficult phase. The addition of cybernetic principles can make existing problem definition methods even more powerful. This is explained and demonstrated by enhancing Soft Systems Methodology (SSM) with several cybernetic concepts, and applying the resulting methods to a case study.

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“…The use of knowledge management techniques to support RE activities also helps in augmenting the knowledge of team members participating in the RE project and facilitates the task of knowledge sharing between team members (White, ). We empirically validate how the framework and tool was used to effectively support the requirements elicitation and prioritization activities through a case study addressing an intranet portal development project at the University of Manchester.…”

Section: Introductionmentioning

confidence: 99%

Eliciting and prioritizing quality requirements supported by ontologies: a case study using the ElicitO framework and tool

2012

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As software complexity grows and clients demand higher quality software, quality requirements can no longer be considered to be of secondary importance. Thus, eliciting, specifying, prioritizing and validating quality requirements is a prerequisite to the development of effective and efficient information systems. Despite the critical importance of quality requirements, there is a considerable gap in the breadth and depth of quality requirements engineering (RE) support in most RE approaches. In practice, it is often the case to have quality requirements considered as an afterthought in the systems development process. While there is a wealth of modelling techniques and tools for functional requirements, there is very limited support for quality requirements in RE. Support for quality requirements is usually ad‐hoc, without clear guidelines on how to capture, specify and manage quality requirements and also without proper usage of standardized terminologies based on established quality models such as the ISO/IEC 9126 quality model. In this paper, we discuss a quality‐driven RE framework and tool that applies knowledge management techniques and quality ontologies to support RE activities. The ontology implements the quality characteristics and metrics prescribed by the ISO/9126 quality model, providing a common vocabulary to address quality concerns/aspects across RE activities. We empirically validate how the framework and tool can be used to effectively support the requirements elicitation and prioritization activities through a case study addressing the development of an intranet portal project at the University of Manchester.

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Application of cognitive theories and knowledge management to requirements engineering

Cited by 5 publications

References 10 publications

Towards Knowledge Management in RE Practices to Support Software Development

Towards Knowledge Management in RE Practices to Support Software Development

Using cybernetics with Soft Systems Methodology in complex system development

Eliciting and prioritizing quality requirements supported by ontologies: a case study using the ElicitO framework and tool

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