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 …
A 20‐year map** of Bayesian belief networks in software project management
In recent years, more software engineering researchers have focussed on methods,
techniques, tools, and processes to support software project management (SPM) addressing …
techniques, tools, and processes to support software project management (SPM) addressing …
On the proposal and evaluation of a benchmark-based threshold derivation method
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 …
developers need better support for measuring and controlling the software quality. In this …
Evaluating domain-specific metric thresholds: an empirical study
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 …
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 …
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 …
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
Measures are essential resources to improve quality and control costs during software
development. One of the main factors for having successful software measurement …
development. One of the main factors for having successful software measurement …
Towards visual exploration of large temporal datasets
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 …
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.
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 …
support decision-making and, consequently, reduce costs, improve the productivity of the …
A Domain-Sensitive Threshold Derivation Method
Software metrics provide means to quantify several attributes of information systems. The
effective measurement is dependent of appropriate metric thresholds as they allow …
effective measurement is dependent of appropriate metric thresholds as they allow …