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Mário Farias

  • Assistent Professor
  • Federal Institute of Sergipe
  • 2h-indexImpact measure calculated using publication and citation counts. Updated daily.
  • 15CitationsNumber of citations received by Mário's publications. Updated daily.

Other IDs

Research interests

Technical DebtSoftware EvolutionText MiningSoftware EngineeringSoftware DevelopmentComputer Science

About

I have been a Ph.D. student at the Federal University of Bahia (Bahia-BR) since 2013, and I have been a professor at the Federal Institute of Sergipe (www.ifs.edu.br) since 2007. I have also been a Secretary of the Brazilian Computer Society - Region of Sergipe - since 2015 (http://www.sbc.org.br/29-secretarias-regionais/1527-sergipe). Additionally, I am an ERBASE steering committee member. ERBASE is a regional computer science congress in Brazil, aimed at undergraduate and postgraduate students. My master’s degree at the Federal University of Alagoas (Maceió-BR) was finished in 2011; my specialization was completed, in System Analysis, at Candido Mendes University (Rio de Janeiro-BR) in 2003, and my undergraduate course (bachelor’s) at the Tiradentes University (Sergipe-BR) in 2001. I was a professor at the Sergipana College (http://www.faser-se.edu.br) from 2003 until 2009, and at the Tiradentes University (www.unit.br) from 2006 until 2007. I have worked in the software industry for more than ten years in a variety of roles, such as Software Developer, System Analyst, and Project Manager. I have experience in Computer Science, mainly in the Software Development area, focusing on Software Engineering, Text Mining, Software Evolution, and Technical Debt. I received a best student paper award and a best Ph.D. Project Award at the 18th ICEIS in 2016. Both awards are related to the internship project described below.

Co-authors (11)

  • Gau Boechat
  • Jaziel Lobo
  • Ivan Machado

Publications (5)

  • A Systematic Mapping Study on Software Comments Analysis

    • Passos F
    • Farias M
    • Lima C
    • et al.
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  • Investigating the Identification of Technical Debt through Code Comment Analysis

    • Farias M
    • Santos J
    • Kalinowski M
    • et al.
    N/AReaders
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  • Procedural x OO - A Corporative Experiment on Source Code Clone Mining

    • Torres J
    • Junior M
    • Farias M
    N/AReaders
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  • Identifying Technical Debt through Code Comment Analysis

    • Farias M
    • Colaço M
    • Spínola R
    • et al.
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  • Investigating the Use of a Contextualized Vocabulary in the Identification of Technical Debt : A Controlled Experiment

    • Farias M
    • Silva A
    • Mendonça M
    • et al.
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Professional experience

Assistent Professor

Federal Institute of Sergipe

February 2007 - Present