104 citations · 235 across the 11 of their papers we have counts for
11 papers
How do Developers Improve Code Readability? An Empirical Study of Pull Requests
Carlos Eduardo C. Dantas, Adriano M. Rocha, Marcelo A. Maia
Readability models and tools have been proposed to measure the effort to read code. However, these models are not completely able to capture the quality improvements in code as per…
Readability and Understandability of Snippets Recommended by General-purpose Web Search Engines: a Comparative Study
Carlos Eduardo C. Dantas, Marcelo A. Maia
Developers often search for reusable code snippets on general-purpose web search engines like Google, Yahoo! or Microsoft Bing. But some of these code snippets may have poor qualit…
On the Interplay of Smells Large Class, Complex Class and Duplicate Code
Elder Vicente de Paulo Sobrinho, Marcelo de Almeida Maia
Bad smells have been defined to describe potential problems in code, possibly pointing out refactoring opportunities. Several empirical studies have highlighted that smells have a…
Towards a question answering assistant for software development using a transformer-based language model
Liliane do Nascimento Vale, Marcelo de Almeida Maia
Question answering platforms, such as Stack Overflow, have impacted substantially how developers search for solutions for their programming problems. The crowd knowledge content av…
Bootstrapping Cookbooks for APIs from Crowd Knowledge on Stack Overflow
Lucas B. L. Souza, Eduardo C. Campos, Fernanda Madeiral +3
Well established libraries typically have API documentation. However, they frequently lack examples and explanations, possibly making difficult their effective reuse. Stack Overflo…
Recommending Comprehensive Solutions for Programming Tasks by Mining Crowd Knowledge
Rodrigo F. G. Silva, Chanchal K. Roy, Mohammad Masudur Rahman +3
Developers often search for relevant code examples on the web for their programming tasks. Unfortunately, they face two major problems. First, the search is impaired due to a lexic…