On the prevalence, impact, and evolution of sql code smells in data-intensive systems

BA Muse, MM Rahman, C Nagy, A Cleve… - Proceedings of the 17th …, 2020 - dl.acm.org
Code smells indicate software design problems that harm software quality. Data-intensive
systems that frequently access databases often suffer from SQL code smells besides the …

A longitudinal study of the impact of refactoring in android applications

O Hamdi, A Ouni, MÓ Cinnéide, MW Mkaouer - Information and Software …, 2021 - Elsevier
Context: Mobile applications have to continuously evolve in order to meet new user
requirements and technological changes. Addressing these constraints may lead to poor …

On the impact of single and co-occurrent refactorings on quality attributes in android applications

A Ouni, EA AlOmar, O Hamdi, MÓ Cinnéide… - Journal of Systems and …, 2023 - Elsevier
Android applications must evolve quickly to meet new user requirements, to facilitate bug
fixing or to adapt to technological changes. This evolution can lead to various software …

Association mining-based method for enterprise's technological innovation intelligent decision making under big data

Q Zhang, G Geng, Q Tu - International Journal of Computers …, 2023 - univagora.ro
Technological innovation is vital for the survival and development of enterprises. In the era
of intelligent information interconnection and knowledge-driven economy, there is a growing …

Analysis of influencing factors and enterprise strategy of online consumer behavior decision based on association rules and mobile computing

B Xiao, G Piao - Wireless Communications and Mobile …, 2022 - Wiley Online Library
Consumers are constantly generating a large amount of data, thanks to the arrival of the big
data era and the advancement of mobile edge computing capabilities. Massive behavioral …

[HTML][HTML] Analytical Engineering for Data Stream

R Rossi, K Hirama - Journal of Computer and Communications, 2022 - scirp.org
The analytical capacity of massive data has become increasingly necessary, given the high
volume of data that has been generated daily by different sources. The data sources are …

Ordering policy estimation for high utility item-sets considering negative item values in large databases

R Agarwal - International Journal of Decision Support System …, 2022 - igi-global.com
Utility mining with negative item values has recently received interest in the data mining field
due to its practical considerations. Previously, the values of utility item-sets have been taken …

Decision-making with temporal association rule mining and clustering in supply chains

R Agarwal - Optimization and Inventory Management, 2020 - Springer
Timely identification of recently rising patterns is required in business process. Data mining
methods are most appropriate for the characterization, valuable examples extraction, and …

An empirical study on the impact of refactoring in Android applications

O Hamdi - 2021 - espace.etsmtl.ca
Android applications (apps) are becoming complex software that must be developed quickly
while continuously evolving to meet new user needs as well as regular updates. This rapid …

A Review of Artificial Intelligence used in Assortment Planning: A Suggested Approach Applied in the Fast Fashion Industry

A Kosovic, J Peebo - 2021 - diva-portal.org
The short life cycles and highly variable demand in the fast fashion market causes various
challenges in a retailer's supply chain management processes. The essential task at hand is …