Laboratory of Software Comprehension, Analytics and Mining

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March-2019. The paper "Bootstrapping Cookbooks for APIs from Crowd Knowledge on Stack Overflow" has been accepted at the Information and Software Technology, with Lucas Souza, Eduardo Campos, Fernanda Madeiral, Klérisson Paixão, Adriano Rocha and Marcelo Maia!!!! March 18.

March-2019. The paper "Co-Change Patterns: A Large Scale Empirical Study" has been accepted at the Journal of Systems and Software, with Luciana Silva, Marco Túlio Valente e Marcelo Maia! March 14.

March-2019. Fernanda Madeiral has defended her PhD thesis entitled: On Benchmarks of Bugs for Studies in Automatic Program Repair. March 11.

March-2019. The paper Recommending Comprehensive Solutions for Programming Tasks by Mining Crowd Knowledge with Rodrigo Fernandes, Chanchal Roy, Masudur Rahman, Kevin Schneider, Klérisson Paixão, and Marcelo Maia has been accepted as *a full paper* for inclusion in the Technical Research Track of ICPC 2019 in Montreal!!!.  March 07.

January-2019. Our journal-first systematic literature review on bad smells published at IEEE TSE with Elder Sobrinho, Andrea De Lucia, and Marcelo Maia has been accepted for presentation at ICSE'2019 in Montreal!!!!

January-2019. Marcelo Maia has been awarded with a Productivity Scholarship from CNPq 2018... Bolsa PQ - Produtividade em Pesquisa!

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Bad Smells: Which, When, What, Who, Where

This most comprehensive systematic literature review ever on bad smells includes 351 papers ranging from 1992 to 2017. We show the prevalence of smells in studies, the chronology, the main findings, the shape of collaborations, challenges and much ...more

Bears - A Bug Benchmark for Automatic Repair Studies

The Bears-Benchmark, or just Bears, is a benchmark of bugs collected from Java open-source projects hosted on GitHub through a process that scans pairs of builds from Travis Continuous Integration and reproduces bugs (by test failure) and their patches (passing test suite). ...more

Defects4J Dissection

Defects4J Dissection presents data to help researchers and practitioners to better understand the Defects4J bug dataset. ...more

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