Intelligent software engineering in the context of agile software development: A systematic literature review

M Perkusich, LC e Silva, A Costa, F Ramos… - Information and …, 2020 - Elsevier
Abstract CONTEXT: Intelligent Software Engineering (ISE) refers to the application of
intelligent techniques to software engineering. We define an “intelligent technique” as a …

[HTML][HTML] Applications of AI in classical software engineering

M Barenkamp, J Rebstadt, O Thomas - AI Perspectives, 2020 - Springer
Abstract Although Artificial Intelligence (AI) has become a buzzword for self-organizing IT
applications, its relevance to software engineering has hardly been analyzed systematically …

[PDF][PDF] Implication of Artificial Intelligence in Software Development Life Cycle: A state of the art review

PH Padmanaban, YK Sharma - 2019 IJRRA all rights reserved, 2019 - researchgate.net
Artificial Intelligence (AI) is the more youthful field in software engineering prepared to
acknowledge difficulties. Programming designing (SE) is the commanding mechanical field …

(AIAM2019) artificial intelligence in software engineering and inverse

M Shehab, L Abualigah, MI Jarrah… - … Journal of Computer …, 2020 - Taylor & Francis
ABSTRACT Artificial Intelligence (AI) and Software Engineering are considered as
significant fields to solve various problems. However, there are weaknesses in certain …

Bayesian networks for evidence-based decision-making in software engineering

AT Misirli, AB Bener - IEEE Transactions on Software …, 2014 - ieeexplore.ieee.org
Recommendation systems in software engineering (SE) should be designed to integrate
evidence into practitioners experience. Bayesian networks (BNs) provide a natural statistical …

Artificial intelligence techniques in software engineering for automated software reuse and design

DP Wangoo - 2018 4th International conference on computing …, 2018 - ieeexplore.ieee.org
Mining of software engineering data have proved successful for reusability of components in
software development. Artificial Intelligence improves a large application domain of software …

A survey on artificial intelligence techniques in cognitive radio networks

R Ganesh Babu, V Amudha - Emerging Technologies in Data Mining and …, 2019 - Springer
Cognitive radio (CR) is the solution for the current spectral underutilized problems, Context
awareness and environment awareness are the key functions of CR nowadays. A software …

Automatically classifying non-functional requirements using deep neural network

B Li, X Nong - Pattern Recognition, 2022 - Elsevier
Non-functional requirements are property that software products must have in order to meet
the user's business requirements, and are additional constraints on the quality and …

Identification and classification of architecturally significant functional requirements

R Chatterjee, A Ahmed, PR Anish - 2020 IEEE Seventh …, 2020 - ieeexplore.ieee.org
Architecturally Significant Functional Requirements (ASFRs) are those functional
requirements that have a significant impact on the architecture of the software system …

[HTML][HTML] A Comparison of Recent Requirements Gathering and Management Tools in Requirements Engineering for IoT-Enabled Sustainable Cities

MA Nadeem, SUJ Lee, MU Younus - Sustainability, 2022 - mdpi.com
The Internet of Things (IoT) is a paradigm that facilitates the proliferation of different devices
such as sensors and Radio Frequency Identification (RFIDs) for real-time applications such …