Big Data analytics in Agile software development: A systematic mapping study

K Biesialska, X Franch, V Muntés-Mulero - Information and Software …, 2021 - Elsevier
Context: Over the last decade, Agile methods have changed the software development
process in an unparalleled way and with the increasing popularity of Big Data, optimizing …

[HTML][HTML] Critical analysis of Big Data challenges and analytical methods

U Sivarajah, MM Kamal, Z Irani… - Journal of business …, 2017 - Elsevier
Big Data (BD), with their potential to ascertain valued insights for enhanced decision-making
process, have recently attracted substantial interest from both academics and practitioners …

Synthesizing qualitative research in software engineering: A critical review

X Huang, H Zhang, X Zhou, MA Babar… - Proceedings of the 40th …, 2018 - dl.acm.org
Synthesizing data extracted from primary studies is an integral component of the
methodologies in support of Evidence Based Software Engineering (EBSE) such as System …

Big data technology: developments in current research and emerging landscape

N Singh - Enterprise Information Systems, 2019 - Taylor & Francis
In this study, big data studies (01/2015–6/2018) are reviewed and several highly cited
papers are identified, which indicates a growing interest in the area of big data. The papers …

Fast and curious: A model for building efficient monitoring-and decision-making frameworks based on quantitative data

I Figalist, C Elsner, J Bosch, HH Olsson - Information and Software …, 2021 - Elsevier
Context: Nowadays, the hype around artificial intelligence is at its absolute peak. Large
amounts of data are collected every second of the day and a variety of tools exists to enable …

Software development process mining: Discovery, conformance checking and enhancement

J Caldeira, FB e Abreu - … on the Quality of Information and …, 2016 - ieeexplore.ieee.org
Software development has become a fundamental process on any business or organization.
As a consequence, together with other emergent technologies, new development platforms …

Automatic recall of software lessons learned for software project managers

TM Abdellatif, LF Capretz, D Ho - Information and Software Technology, 2019 - Elsevier
Context Lessons learned (LL) records constitute the software organization memory of
successes and failures. LL are recorded within the organization repository for future …

[HTML][HTML] Data-Oriented Software Development: The Industrial Landscape through Patent Analysis

K Georgiou, N Mittas, A Ampatzoglou… - Information, 2022 - mdpi.com
Τhe large amounts of information produced daily by organizations and enterprises have led
to the development of specialized software that can process high volumes of data. Given that …

Towards automated data integration in software analytics

S Martínez-Fernández, P Jovanovic, X Franch… - Proceedings of the …, 2018 - dl.acm.org
Software organizations want to be able to base their decisions on the latest set of available
data and the real-time analytics derived from them. In order to support" real-time enterprise" …

Evidence-based quality-aware agile software development process: Design and evaluation

P Karhapää, W Behutiye, P Seppänen… - IEEE …, 2024 - ieeexplore.ieee.org
Context: Agile software development (ASD) aims to deliver high-quality software. However,
software quality often receives less attention in ASD due to focus on functionality. Objective …