CONTEXT: Software development effort estimation (SDEE) is the process of predicting the
effort required to develop a software system. In order to improve estimation accuracy, many …

This paper aims to provide a basis for the improvement of software-estimation research
through a systematic review of previous work. The review identifies 304 software cost …

We introduce a bi-objective effort estimation algorithm that combines Confidence Interval
Analysis and assessment of Mean Absolute Error. We evaluate our proposed algorithm on …

Many risks are involved in software development and risk management has become one of
the key activities in software development. Bayesian networks (BNs) have been explored as …

As the number of object-oriented software systems increases, it becomes more important for
organizations to maintain those systems effectively. However, currently only a small number …

Context Software effort estimation (SEE) is most crucial activity in the field of software
engineering. Vast research has been conducted in SEE resulting into a tremendous …

The purpose of this study is to construct a valid and rigorous fraudulent financial statement
detection model. The research objects are companies which experienced both fraudulent …

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 …

CONTEXT: Software productivity measurement is essential in order to control and improve
the performance of software development. For example, by identifying role models (eg …