Natural Language Processing for Requirements Engineering (NLP4RE) is an area of
research and development that seeks to apply natural language processing (NLP) …

Context: Several tertiary studies have criticized the reporting of software engineering
secondary studies. Objective: Our objective is to identify guidelines for reporting software …

Abstract Context: A Machine Learning based System (MLS) is a software system including
one or more components that learn how to perform a task from a given data set. The …

Predicting crimes before they occur can save lives and losses of property. With the help of
machine learning, many researchers have studied predicting crimes extensively. In this …

Software defect prediction, which predicts defective code regions, can assist developers in
finding bugs and prioritizing their testing efforts. Traditional defect prediction features often …

Background: Cross project defect prediction (CPDP) recently gained considerable attention,
yet there are no systematic efforts to analyse existing empirical evidence. Objective: To …

Context The technical debt metaphor describes the effect of immature artifacts on software
maintenance that bring a short-term benefit to the project in terms of increased productivity …

Abstract Context Systematic Literature Reviews (SLRs) have been adopted within Software
Engineering (SE) for more than a decade to provide meaningful summaries of evidence on …

BACKGROUND: A software engineering systematic map is a defined method to build a
classification scheme and structure a software engineering field of interest. The analysis of …

CONTEXT: We are strong advocates of evidence-based software engineering (EBSE) in
general and systematic literature reviews (SLRs) in particular. We believe it is essential that …