Laboratory of Software Comprehension, Analytics and Mining

Welcome to LASCAM

LASCAM aims at producing knowledge on how to improve software development practice based on past experience and evidences elaborated from data recorded in software repositories. 
 

Recent news:

Marcelo Maia has been awarded within the Programa Pesquisador Mineiro XII-2018!!!

The paper "Bears: an Extensible Java Bug Benchmark for Automatic Program Repair Studies" has been accepted at SANER'2019 in the research track, with Fernanda Madeiral, Simon Urli, Marcelo Maia and Martin Monperrus!!! Preprint soon!

The paper "A systematic literature review on bad smells: 5 W's: which, when, what, who, where" has been accepted at IEEE Transactions on Software Engineering - TSE with Elder Sobrinho, Andrea De Lucia, and Marcelo Maia!!!!

Marcus Adriano, former undergraduate student, presented his scientific initiation work at the National Science and Technology Week 2018 at UFU: A study on mining patches for Android fragmentation issues.

The paper Towards an automated approach for bug fix pattern detection has been awarded as the BEST PAPER at VEM'2018 with Fernanda Madeiral, Thomas Durieux, Victor Sobreira, and Marcelo Maia. September, 2018.

@Marcelo  Maia has opened VEM'2018 with the Keynote: "The promises and perils of mining...". The talk reported the history of LASCAM on the land of minng software repositories, and the related challenges to strategically organize the team on that theme. September, 2018.

@Rodrigo  Fernandes has started a internship with prof. Chanchal Roy, University of Saskatchewan, Canada. September, 2018.

The paper Towards an automated approach for bug fix pattern detection has been accepted at VEM'2018 with Fernanda Madeiral, Thomas Durieux, Victor Sobreira, and Marcelo Maia. July, 2018.

The paper Uma Análise da Produção Científica Brasileira em Conferências de Manutenção e Evolução de Software has been accepted at VEM'2018 with Klérisson Paixão, Marcelo Maia, and Marco Tulio Valente. July, 2018.

RENE paper accepted at SANER'2018: Duplicate Question Detection in Stack Overflow: A Reproducibility Study with Rodrigo Silva, Klérisson Paixão and Marcelo Maia. February, 2018.


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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

Defects4J Dissection

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

Google Research Award Latin America

The PhD thesis proposal "Automated construction of tutorials from Q&A sites" from Adriano Rocha has been awarded in August 03, 2016. 

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