Defining the required productivity in order to complete successfully and within time and
budget constraints a software development project is actually a reasoning problem that …

Software defect prediction is an important area in software engineering because it helps
developers identify and fix problems before they become costly and hard-to-fix bugs. Early …

Though it is widely accepted that uncertainty influences software development it is rarely
captured explicitly in software models. Despite the emphasis on artifact uncertainties …

While Bayesian network (BN) can achieve accurate predictions even with erroneous or
incomplete evidence, explaining the inferences remains a challenge. Existing approaches …

Accurate prediction of software defects is of crucial importance in software engineering.
Software defect prediction comprises two major procedures:(i) Design of appropriate …

Objective The fields of medicine and public health are undergoing a data revolution. An
increasing availability of data has brought about a growing interest in machine-learning …

Most documented Bayesian network (BN) applications have been built through knowledge
elicitation from domain experts (DEs). The difficulties involved have led to growing interest in …

In many complex, real‐world situations, problem solving and decision making require
effective reasoning about causation and uncertainty. However, human reasoning in these …

The search for a useful explanatory model based on a Bayesian Network (BN) now has a
long and successful history. However, when the dependence structure between the …

Research into design rationale in the past has focused on argumentation-based design
deliberations. These approaches cannot be used to support change impact analysis …