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 …

Predictive models in software engineering: Challenges and opportunities

Y Yang, X Xia, D Lo, T Bi, J Grundy… - ACM Transactions on …, 2022 - dl.acm.org
Predictive models are one of the most important techniques that are widely applied in many
areas of software engineering. There have been a large number of primary studies that …

A machine learning decision-support system improves the internet of things' smart meter operations

J Siryani, B Tanju, TJ Eveleigh - IEEE Internet of Things Journal, 2017 - ieeexplore.ieee.org
An Internet of Things'(IoT) connected society and system represents a tremendous paradigm
shift. We present a framework for a decision-support system (DSS) that operates within the …

The realist approach for evaluation of computational intelligence in software engineering

RR Althar, D Samanta - Innovations in Systems and Software Engineering, 2021 - Springer
Secured software development must employ a security mindset across software engineering
practices. Software security must be considered during the requirements phase so that it is …

Design and development of artificial intelligence knowledge processing system for optimizing security of software system

RR Althar, D Samanta, S Purushotham, SS Sengar… - SN Computer …, 2023 - Springer
Software security vulnerabilities are significant for the software development industry.
Exploration is conducted for software development industry landscape, software …

Comprehending reality-practical barriers to industrial adoption of software maintenance automation

JR Cordy - 11th IEEE International Workshop on Program …, 2003 - ieeexplore.ieee.org
Recent years have seen many significant advances in program comprehension and
software maintenance automation technology. In spite of the enormous potential savings in …

[图书][B] The art and science of analyzing software data

C Bird, T Menzies, T Zimmermann - 2015 - books.google.com
The Art and Science of Analyzing Software Data provides valuable information on analysis
techniques often used to derive insight from software data. This book shares best practices …

Evaluation module based on Bayesian networks to Intelligent Tutoring Systems

A Ramírez-Noriega, R Juárez-Ramírez… - International Journal of …, 2017 - Elsevier
Assessing knowledge acquisition by the student is the primary task of an Intelligent Tutoring
System (ITS). Assessment is needed to adapt learning materials and activities to student's …

An adaptive decision-making method with fuzzy Bayesian reinforcement learning for robot soccer

H Shi, Z Lin, S Zhang, X Li, KS Hwang - Information Sciences, 2018 - Elsevier
A robot soccer system is a typical complex time-sequence decision-making system.
Problems of uncertain knowledge representation and complex models always exist in robot …

BARD: A structured technique for group elicitation of Bayesian networks to support analytic reasoning

EP Nyberg, AE Nicholson, KB Korb, M Wybrow… - Risk …, 2022 - Wiley Online Library
In many complex, real‐world situations, problem solving and decision making require
effective reasoning about causation and uncertainty. However, human reasoning in these …