activity
20202024
most citedCADV: A software visualization approach for code annotations distribution

18 citations · 77 across the 11 of their papers we have counts for

collaborators

11 papers

cs.SE2024★ 4 cited

MADE-WIC: Multiple Annotated Datasets for Exploring Weaknesses In Code

Moritz Mock, Jorge Melegati, Max Kretschmann +2

In this paper, we present MADE-WIC, a large dataset of functions and their comments with multiple annotations for technical debt and code weaknesses leveraging different state-of-t…

cs.SE2024★ 6 cited

Some things never change: how far generative AI can really change software engineering practice

Aline de Campos, Jorge Melegati, Nicolas Nascimento +3

Generative Artificial Intelligence (GenAI) has become an emerging technology with the availability of several tools that could impact Software Engineering (SE) activities. As any o…

cs.SE2023

Experimentation in Early-Stage Video Game Startups: Practices and Challenges

Henry Edison, Jorge Melegati, Elizabeth Bjarnason

Experimentation has been considered critical for successful software product and business development, including in video game startups. Video game startups need "wow" qualities th…

cs.SE2023★ 13 cited

Generative Artificial Intelligence for Software Engineering -- A Research Agenda

Anh Nguyen-Duc, Beatriz Cabrero-Daniel, Adam Przybylek +12

Generative Artificial Intelligence (GenAI) tools have become increasingly prevalent in software development, offering assistance to various managerial and technical project activit…

cs.SE2023

DAnTE: a taxonomy for the automation degree of software engineering tasks

Jorge Melegati, Eduardo Guerra

Software engineering researchers and practitioners have pursued manners to reduce the amount of time and effort required to develop code and increase productivity since the emergen…

cs.SE2022★ 3 cited

Digital Mentor: towards a conversational bot to identify hypotheses for software startups

Jorge Melegati, Xiaofeng Wang

Software startups develop innovative, software-intensive product and services. This context leads to uncertainty regarding the software they are building. Experimentation, a proces…

cs.SE2022

Work-from-home and its implication for project management, resilience and innovation -- a global survey on software companies

Anh Nguyen-Duc, Dron Khanna, Des Greer +16

[Context] The COVID-19 pandemic has had a disruptive impact on how people work and collaborate across all global economic sectors, including the software business. While remote wor…

cs.SE2021★ 18 cited

CADV: A software visualization approach for code annotations distribution

Phyllipe Lima, Jorge Melegati, Everaldo Gomes +3

Code annotations is a widely used feature in Java systems to configure custom metadata on programming elements. Their increasing presence creates the need for approaches to assess…

cs.SE2021★ 9 cited

Business Model Canvas Should Pay More Attention to the Software Startup Team

Kai-Kristian Kemell, Atte Elonen, Mari Suoranta +12

Business Model Canvas (BMC) is a tool widely used to describe startup business models. Despite the various business aspects described, BMC pays a little emphasis on team-related fa…

cs.CY2021★ 12 cited

HyMap: eliciting hypotheses in early-stage software startups using cognitive mapping

Jorge Melegati, Eduardo Guerra, Xiaofeng Wang

Context: Software startups develop innovative, software-intensive products. Given the uncertainty associated with such an innovative context, experimentation is a valuable approach…

cs.SE2020★ 12 cited

Case Survey Studies in Software Engineering Research

Jorge Melegati, Xiaofeng Wang

Background: Given the social aspects of Software Engineering (SE), in the last twenty years, researchers from the field started using research methods common in social sciences suc…