CoordenaÃÃo de AperfeÃoamento de Pessoal de NÃvel Superior / This work is contextualized in the problem of plagiarism detection among source codes in programming classes. Despite the wide set of tools available for the detection of plagiarism, only few tools are able to effectively identify all lexical and semantic similarities between pairs of codes, because of the complexity inherent to this type of analysis. Therefore to the problem and the scenario in question, it was made a study about the main approaches discussed in the literature on detecting plagiarism in source code and as a main contribution, conceived to be a relevant tool in the field of laboratory practices. The tool is based on Sherlock algorithm, which has been enhanced as of two perspectives: firstly, with changes in the similarity coefficient used by the algorithm in order to improve its sensitivity for comparison of signatures; secondly, proposing intrusive techniques preprocessing that, besides eliminating irrelevant information, are also able to overemphasize structural aspects of the programming language, or gathering separating strings whose meaning is more significant for the comparison or even eliminating sequences less relevant to highlight other enabling better inference about the degree of similarity. The tool, called Sherlock N-Overlap was subjected to rigorous evaluation methodology, both in simulated scenarios as classes in programming, with results exceeding tools currently highlighted in the literature on plagiarism detection. / Este trabalho se contextualiza no problema da detecÃÃo de plÃgio entre cÃdigos-fonte em turmas de programaÃÃo. Apesar da ampla quantidade de ferramentas disponÃveis para a detecÃÃo de plÃgio, poucas sÃo capazes de identificar, de maneira eficaz, todas as semelhanÃas lÃxicas e semÃnticas entre pares de cÃdigos, o que se deve à complexidade inerente a esse tipo de anÃlise. Fez-se, portanto, para o problema e o cenÃrio em questÃo, um estudo das principais abordagens discutidas na literatura sobre detecÃÃo de plÃgio em cÃdigo-fonte e, como principal contribuiÃÃo, concebeu-se uma ferramenta aplicÃvel no domÃnio de prÃticas laboratoriais. A ferramenta tem por base o algoritmo Sherlock, que foi aprimorado sob duas perspectivas: a primeira, com modificaÃÃes no coeficiente de similaridade usado pelo algoritmo, de maneira a melhorar a sua sensibilidade para comparaÃÃo de assinaturas; a segunda, propondo tÃcnicas de prÃ-processamento invasivas que, alÃm de eliminar informaÃÃo irrelevante, sejam tambÃm capazes de sobrevalorizar aspectos estruturais da linguagem de programaÃÃo, reunindo ou separando sequÃncias de caracteres cujo significado seja mais expressivo para a comparaÃÃo ou, ainda, eliminando sequÃncias menos relevantes para destacar outras que permitam melhor inferÃncia sobre o grau de similaridade. A ferramenta, denominada Sherlock N-Overlap, foi submetida a rigorosa metodologia de avaliaÃÃo, tanto em cenÃrios simulados como em turmas de programaÃÃo, apresentando resultados superiores a ferramentas atualmente em destaque na literatura sobre detecÃÃo de plÃgio.

Programming practices are used to improve various attributes of the coding process. Pair and Mob Programming are two practices that involve multiple developers collaboratively working on the same tasks and share multiple advantages and disadvantages. The aim of this project is to identify common advantages and disadvantages of the two practices as well as some attributes that differentiate the two and help in the process of deciding which programming practice should be used for a task. The first method used to answer the research questions was a literature review that should find and list the pros and cons of Mob and Pair Programming. A second method used were interviews with industry practitioners, whose perspectives and experiences will validate the previous results, add new attributes to the practices and identify differences and factors that encourage the use of one or the other practice. The findings of the project consist of positive and negative aspects of using any of the two programming practices and a set of attributes that should be considered when deciding whether to adopt Mob or Pair Programming for the task at hand.