Javascript must be enabled to continue!
Understanding of Requirements Engineering using The Three Dimensions of Requirements Engineering Method in Platform Development
View through CrossRef
Requirements engineering is a critical activity in a development system project, the increasing need for complexity of software development and the heterogeneity of stakeholders in motivating the development of methods and the need to evaluate the engineering requirements needed and aim to lead to a large scale. This study presents a paper in an empirical form that aims to identify and understand the characteristics of the advantages and limitations of the developed platform so that we can know the challenges that will be faced, such as expectations and input from experts for the development of the platform that we develop so that it can be in accordance with what users expect. We conducted this research with the aim of understanding the engineering requirements in the research we developed by utilizing the three dimensions of the requirements engineering method, which consists of requirement elicitation, requirement specification, and requirement validation and verification. The research we conducted managed to understand the stages of needs engineering by producing many documents that help the platform development process. We get the most important UI value from attractiveness, clarity, efficiency, accuracy, stimulation, and novelty, which is 63.2% with a very interest rating, 55.6 with a very interest rating, 57.9% with a very interest rating, 44.4% with a balanced rating between interesting and very interest, 52.6% with an interesting rating, 42.1% with a very interesting rating. We get product values consisting of attractiveness, clarity, efficiency, accuracy, stimulation, and novelty, namely 68.4% with a very interest rating, 52.6% with an interest ng rating, 52.6% with a very interest rating, 47.4% with a balanced rating between interesting and very interest, 47.4% with a balanced rating between interesting and very interest, 47.4% with a balanced rating between interesting and very interest
Title: Understanding of Requirements Engineering using The Three Dimensions of Requirements Engineering Method in Platform Development
Description:
Requirements engineering is a critical activity in a development system project, the increasing need for complexity of software development and the heterogeneity of stakeholders in motivating the development of methods and the need to evaluate the engineering requirements needed and aim to lead to a large scale.
This study presents a paper in an empirical form that aims to identify and understand the characteristics of the advantages and limitations of the developed platform so that we can know the challenges that will be faced, such as expectations and input from experts for the development of the platform that we develop so that it can be in accordance with what users expect.
We conducted this research with the aim of understanding the engineering requirements in the research we developed by utilizing the three dimensions of the requirements engineering method, which consists of requirement elicitation, requirement specification, and requirement validation and verification.
The research we conducted managed to understand the stages of needs engineering by producing many documents that help the platform development process.
We get the most important UI value from attractiveness, clarity, efficiency, accuracy, stimulation, and novelty, which is 63.
2% with a very interest rating, 55.
6 with a very interest rating, 57.
9% with a very interest rating, 44.
4% with a balanced rating between interesting and very interest, 52.
6% with an interesting rating, 42.
1% with a very interesting rating.
We get product values consisting of attractiveness, clarity, efficiency, accuracy, stimulation, and novelty, namely 68.
4% with a very interest rating, 52.
6% with an interest ng rating, 52.
6% with a very interest rating, 47.
4% with a balanced rating between interesting and very interest, 47.
4% with a balanced rating between interesting and very interest, 47.
4% with a balanced rating between interesting and very interest.
Related Results
Deepwater Platform Design
Deepwater Platform Design
ABSTRACT
Results of preliminary platform design studies enable engineers"to identify and appraise major variables affecting deepwater platform capabilities. Trans...
Functional Requirements for Medical Data Integration in Knowledge Management Environments: A Systematic Literature Analysis (Preprint)
Functional Requirements for Medical Data Integration in Knowledge Management Environments: A Systematic Literature Analysis (Preprint)
BACKGROUND
In patient care, data are historically generated and stored in heterogeneous databases that are domain specific and are often non-interoperable o...
An ontology-based approach to engineering ethicality requirements
An ontology-based approach to engineering ethicality requirements
AbstractIn a world where Artificial Intelligence (AI) is pervasive, humans may feel threatened or at risk by giving up control to machines. In this context, ethicality becomes a ma...
Development Of The Beryl A Field
Development Of The Beryl A Field
Abstract
Development drilling from the Beryl 'A' Platform has been in progress for over two years. A total of twelve wells nave been completed with two more neari...
The Removal of the Maureen Steel Gravity Platform
The Removal of the Maureen Steel Gravity Platform
Abstract
The Maureen drilling, production and oil storage platform is located in 95.6m of water in block 16/29 of the U.K. Continental Shelf, and consists of a la...
Requirements Engineering Approaches for Big Data Project Development
Requirements Engineering Approaches for Big Data Project Development
Context: Today’s digital world with millions of users results in vast amounts of data. This ‘big data’, characterized according to its volume, variety, velocity, and veracity, is i...
Anchored Inferential Learning: Platform-Specific Uncertainty, Venture Capital Investments by the Platform Owner, and the Impact on Complementors
Anchored Inferential Learning: Platform-Specific Uncertainty, Venture Capital Investments by the Platform Owner, and the Impact on Complementors
Platform owners increasingly make corporate venture capital investments in complementors (e.g., app developers) to stimulate value creation, a practice we refer to as platform vent...
Requirements Engineering
Requirements Engineering
This chapter introduces requirements engineering for sociotechnical systems. Requirements engineering for sociotechnical systems is a complex process that considers product demands...

