Laboratory of Software Comprehension, Analytics and Mining


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

November-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!!! 

November-2018. 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 ElderSobrinho, Andrea De Lucia, and Marcelo Maia !!!!

September-2018. 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_A_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 has started a internship with prof. Chancal Roy, University of Saskatchewan, Canada. .

July-2018. @Klerisson has been approved in his Qualifying PhD exam. 

July-2018. The paper Towards an automated approach for bug fix pattern detectionhas 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.

February-11-2018: RENE paper accepted at SANER'2018: Duplicate Question Detection in Stack Overflow: A Reproducibility Study, with Rodrigo Silva, Klérisson Paixão, and Marcelo Maia.

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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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