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 …

A 20‐year map** of Bayesian belief networks in software project management

ALR de Sousa, CRB de Souza, RQ Reis - IET Software, 2022 - Wiley Online Library
In recent years, more software engineering researchers have focussed on methods,
techniques, tools, and processes to support software project management (SPM) addressing …

On the proposal and evaluation of a benchmark-based threshold derivation method

G Vale, E Fernandes, E Figueiredo - Software Quality Journal, 2019 - Springer
Software-intensive systems have been growing in both size and complexity. Consequently,
developers need better support for measuring and controlling the software quality. In this …

Evaluating domain-specific metric thresholds: an empirical study

A Mori, G Vale, M Viggiato, J Oliveira… - Proceedings of the …, 2018 - dl.acm.org
Software metrics and thresholds provide means to quantify several quality attributes of
software systems. Indeed, they have been used in a wide variety of methods and tools for …

Measuring developers' contribution in source code using quality metrics

PR De Bassi, GMP Wanderley… - 2018 IEEE 22nd …, 2018 - ieeexplore.ieee.org
People involved in software development seek better ways of develo** quality software.
As software development is a collaborative activity dependent on technology and performed …

Research on the integrated system of case-based reasoning and Bayesian network

Y Guo, W Chen, YX Zhu, YQ Guo - ISA transactions, 2019 - Elsevier
With the arrival of big data era, the integration of Case-Based Reasoning (CBR) and
Bayesian Network (BN) has become increasingly a promising technology in implementing …

A Bayesian networks-based method to analyze the validity of the data of software measurement programs

R Saraiva, A Medeiros, M Perkusich, D Valadares… - IEEE …, 2020 - ieeexplore.ieee.org
Measures are essential resources to improve quality and control costs during software
development. One of the main factors for having successful software measurement …

Towards visual exploration of large temporal datasets

M Ali, M Jones, X **e, M Williams - … International Symposium on …, 2018 - ieeexplore.ieee.org
We address the problem of visualizing and interacting with large multi-dimensional time-
series data. We propose a visual analytics system and approach which aims to visualize …

[PDF][PDF] A Process to Calculate the Uncertainty of Software Metrics-based Models Using Bayesian Networks.

RM Saraiva, MB Perkusich, HO Almeida, A Perkusich - SEKE, 2017 - researchgate.net
Software metrics are essential resources in software enterprises. They can be used to
support decision-making and, consequently, reduce costs, improve the productivity of the …

A Domain-Sensitive Threshold Derivation Method

A Mori, G Vale, E Cirilo, E Figueiredo - … of the XV Brazilian Symposium on …, 2019 - dl.acm.org
Software metrics provide means to quantify several attributes of information systems. The
effective measurement is dependent of appropriate metric thresholds as they allow …