Software development effort and cost estimation (SDECE) is one of the most important tasks
in the field of software engineering. A large number of research papers have been published …

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 …

Heart disease, alternatively known as cardiovascular disease, encases various conditions
that impact the heart and is the primary basis of death worldwide over the span of the past …

The value of using static code attributes to learn defect predictors has been widely debated.
Prior work has explored issues like the merits of" McCabes versus Halstead versus lines of …

Decision trees have proved to be valuable tools for the description, classification and
generalization of data. Work on constructing decision trees from data exists in multiple …

We propose a practical defect prediction approach for companies that do not track defect
related data. Specifically, we investigate the applicability of cross-company (CC) data for …

Explicitly stated program invariants can help programmers by identifying program properties
that must be preserved when modifying code. In practice, however, these invariants are …

In the software engineering, estimation of the effort, time and cost required for the
development of software projects is an important issue. It is a very difficult task for project …

Context Due to the complex nature of software development process, traditional parametric
models and statistical methods often appear to be inadequate to model the increasingly …

Building quality software is expensive and software quality assurance (QA) budgets are
limited. Data miners can learn defect predictors from static code features which can be used …