Laboratory of Software Comprehension, Analytics and Mining

About LASCAM

The Laboratory of Software Comprehension, Analytics and Mining aggregates researchers interested in investigating solutions to Software Engineering problems leveraging data available in "software repositories". The laboratory is under the Graduate Program in Computer Science at Federal University of Uberlândia.

LASCAM is headed by Prof. Marcelo de Almeida Maia and this site is the workplace for publicity of research work related to our graduate students' theses and related research.

Feel free to contact LASCAM members to know more about our results and ongoing work.

In the publications' page, you can find preprints, presentations, and some companion sites for papers, such as, crowd cookbooks.


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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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