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 …

A systematic literature review of istar extensions

E Gonçalves, J Castro, J Araújo, T Heineck - Journal of Systems and …, 2018 - Elsevier
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 …

Knowledge commoning: Scaffolding and technoficing to overcome challenges of knowledge curation

I Qureshi, B Bhatt, R Parthiban, R Sun… - Information and …, 2022 - Elsevier
Extant approaches to information provisioning to farmers to improve agricultural productivity,
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 …

IoT for predictive assets monitoring and maintenance: An implementation strategy for the UK rail industry

AQ Gbadamosi, LO Oyedele, JMD Delgado… - Automation in …, 2021 - Elsevier
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 …

Business-driven data analytics: A conceptual modeling framework

S Nalchigar, E Yu - Data & Knowledge Engineering, 2018 - Elsevier
The effective development of advanced data analytics solutions requires tackling challenges
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

S Nalchigar, E Yu, K Keshavjee - Requirements Engineering, 2021 - Springer
Implementing machine learning in an enterprise involves tackling a wide range of
complexities with respect to requirements elicitation, design, development, and deployment …

Specification and derivation of key performance indicators for business analytics: A semantic approach

A Maté, J Trujillo, J Mylopoulos - Data & Knowledge Engineering, 2017 - Elsevier
Abstract Key Performance Indicators (KPI) measure the performance of an enterprise
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

M Golfarelli, S Rizzi - A comprehensive guide through the Italian database …, 2017 - Springer
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 …

User requirement analysis in data warehouse design: a review

NHZ Abai, JH Yahaya, A Deraman - Procedia Technology, 2013 - Elsevier
User requirement analysis is crucial in data warehouse design. It effects almost every
decision throughout implementation of data warehouse or business intelligence system …