Requirements elicitation techniques: a systematic literature review based on the maturity of the techniques
C Pacheco, I García, M Reyes - IET Software, 2018 - Wiley Online Library
Requirements elicitation is a critical activity that forms part of the requirements engineering
process because it has to discover what the software must do through a solid understanding …
process because it has to discover what the software must do through a solid understanding …
A systematic literature review of istar extensions
Abstract iStar is a general-purpose goal-based modelling language used to model
requirements at early and late phases of software development. It has been used in …
requirements at early and late phases of software development. It has been used in …
Knowledge commoning: Scaffolding and technoficing to overcome challenges of knowledge curation
Extant approaches to information provisioning to farmers to improve agricultural productivity,
and thereby alleviate poverty have relied on top-down external expert-driven knowledge …
and thereby alleviate poverty have relied on top-down external expert-driven knowledge …
Prioritising data items for business analytics: Framework and application to human resources
T Pape - European Journal of Operational Research, 2016 - Elsevier
The popularity of business intelligence (BI) systems to support business analytics has
tremendously increased in the last decade. The determination of data items that should be …
tremendously increased in the last decade. The determination of data items that should be …
IoT for predictive assets monitoring and maintenance: An implementation strategy for the UK rail industry
With about 100% increase in rail service usage over the last 20 years, it is pertinent that rail
infrastructure continues to function at an optimal level to avoid service disruptions …
infrastructure continues to function at an optimal level to avoid service disruptions …
Business-driven data analytics: A conceptual modeling framework
The effective development of advanced data analytics solutions requires tackling challenges
such as eliciting analytical requirements, designing the machine learning solution, and …
such as eliciting analytical requirements, designing the machine learning solution, and …
Modeling machine learning requirements from three perspectives: a case report from the healthcare domain
Implementing machine learning in an enterprise involves tackling a wide range of
complexities with respect to requirements elicitation, design, development, and deployment …
complexities with respect to requirements elicitation, design, development, and deployment …
Specification and derivation of key performance indicators for business analytics: A semantic approach
Abstract Key Performance Indicators (KPI) measure the performance of an enterprise
relative to its objectives thereby enabling corrective action where there are deviations. In …
relative to its objectives thereby enabling corrective action where there are deviations. In …
From Star Schemas to Big Data: 20 Years of Data Warehouse Research
Data Warehouses are the core of the modern systems for decision making. They store
integrated information extracted from various and heterogeneous data sources, making it …
integrated information extracted from various and heterogeneous data sources, making it …
User requirement analysis in data warehouse design: a review
User requirement analysis is crucial in data warehouse design. It effects almost every
decision throughout implementation of data warehouse or business intelligence system …
decision throughout implementation of data warehouse or business intelligence system …