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Intelligent software engineering in the context of agile software development: A systematic literature review
Abstract CONTEXT: Intelligent Software Engineering (ISE) refers to the application of
intelligent techniques to software engineering. We define an “intelligent technique” as a …
intelligent techniques to software engineering. We define an “intelligent technique” as a …
Applications of AI in classical software engineering
Abstract Although Artificial Intelligence (AI) has become a buzzword for self-organizing IT
applications, its relevance to software engineering has hardly been analyzed systematically …
applications, its relevance to software engineering has hardly been analyzed systematically …
A decade of progress: A systematic literature review on the integration of ai in software engineering phases and activities (2013-2023)
The synergy between software engineering (SE) and artificial intelligence (AI) catalyzes
software development, as numerous recent studies illustrate an intensified intersection …
software development, as numerous recent studies illustrate an intensified intersection …
(AIAM2019) artificial intelligence in software engineering and inverse
ABSTRACT Artificial Intelligence (AI) and Software Engineering are considered as
significant fields to solve various problems. However, there are weaknesses in certain …
significant fields to solve various problems. However, there are weaknesses in certain …
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 …
the user's business requirements, and are additional constraints on the quality and …
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 …
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 …
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 …
awareness and environment awareness are the key functions of CR nowadays. A software …
A multinomial naïve Bayes classifier for identifying actors and use cases from software requirement specification documents
KV Vineetha, P Samuel - 2022 2nd International Conference …, 2022 - ieeexplore.ieee.org
A software Requirements Specification (SRS) document is an NL (Natural Language) written
textual specification that documents the functional and non-functional requirements of the …
textual specification that documents the functional and non-functional requirements of the …
A comparison of recent requirements gathering and management tools in requirements engineering for IoT-Enabled sustainable Cities
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 …
such as sensors and Radio Frequency Identification (RFIDs) for real-time applications such …