App reviews found in app stores can provide critically valuable information to help software
engineers understand user requirements and to design, debug, and evolve software …

Opinion mining, sometimes referred to as sentiment analysis, has gained increasing
attention in software engineering (SE) studies. SE researchers have applied opinion mining …

Requirements engineering has traditionally been stakeholder-driven. In addition to domain
knowledge, widespread digitalization has led to the generation of vast amounts of data (Big …

In recent years there has been a noticeable shift in attention from those who use agile
software development toward lean software development, often labelled as a shift “from …

Automatic text summarization attempts to provide an effective solution to today's
unprecedented growth of textual data. This paper proposes an innovative graph-based text …

Natural Language Processing (NLP) is widely used to support the automation of different
Requirements Engineering (RE) tasks. Most of the proposed approaches start with various …

User reviews obtained from mobile application (app) stores contain technical feedback that
can be useful for app developers. Recent research has been focused on mining and …

In this paper, we study the app store as a phenomenon from the developers' perspective to
investigate the extent to which app stores affect software engineering tasks. Through …

Context A hairy requirements engineering (RE) task involving natural language (NL)
documents is (1) a non-algorithmic task to find all relevant answers in a set of documents …

Predictive models are one of the most important techniques that are widely applied in many
areas of software engineering. There have been a large number of primary studies that …