Recommendation systems in software engineering (SE) should be designed to integrate
evidence into practitioners experience. Bayesian networks (BNs) provide a natural statistical …

In recent years, more software engineering researchers have focussed on methods,
techniques, tools, and processes to support software project management (SPM) addressing …

This chapter provides an introduction to the use of Bayesian Network (BN) models in
Software Engineering. A short overview of the theory of BNs is included, together with an …

Bayesian Networks (BN) have been used for decision making in software engineering for
many years. We investigate the current status of BNs in predicting software quality in three …

A recent survey indicates that 53% of software development projects are over budget,
behind schedule, or deliver fewer features than originally specified. Statistics also show that …

Bayesian networks (BN) have been used for decision making in software engineering for
many years. In other fields such as bioinformatics, BNs are rigorously evaluated in terms of …

This paper reviews the use of Bayesian networks (BNs) in predicting software defects and
software reliability. The approach allows analysts to incorporate causal process factors as …

An important decision in software projects is when to stop testing. Decision support tools for
this have been built using causal models represented by Bayesian Networks (BNs) …

Recently, Bayesian probabilistic models have been used for predicting software
development effort. One of the reasons for the interest in the use of Bayesian probabilistic …

Bayesian networks (BNs) model problems that involve uncertainty. A BN is a directed graph,
whose nodes are the uncertain variables and whose edges are the causal or influential links …