Submitted by JÚLIO HEBER SILVA (julioheber@yahoo.com.br) on 2016-12-05T15:46:39Z No. of bitstreams: 2 Dissertação - Daniel Gomes de Oliveira - 2016.pdf: 1447085 bytes, checksum: f382ec268ae42480adeee8f03e5ccda2 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) / Approved for entry into archive by Jaqueline Silva (jtas29@gmail.com) on 2016-12-13T15:32:34Z (GMT) No. of bitstreams: 2 Dissertação - Daniel Gomes de Oliveira - 2016.pdf: 1447085 bytes, checksum: f382ec268ae42480adeee8f03e5ccda2 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) / Made available in DSpace on 2016-12-13T15:32:34Z (GMT). No. of bitstreams: 2 Dissertação - Daniel Gomes de Oliveira - 2016.pdf: 1447085 bytes, checksum: f382ec268ae42480adeee8f03e5ccda2 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Previous issue date: 2016-09-29 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES / Considering the high cost and large amount of time demanded by the activity generation tests in the software development process, the need a proposal to reduce both the time spent as the related costs testing activities is necessary. In this context, the use of tools or processes that make the activities of generation of more agile testing, less costly and meet demands for precision are key to companies operating in software development market can achieve their goals. Based on these information comes to questions regarding how to go about adopting a process that makes possible the achievement of objectives in order to meet the results mentioned previously, even with the difficulties of generating test data as a result of of programs input areas are infinite. There are different tools that use various strategies for generating test data, however, lacks evidence as the quality of these tools. In this context, the aim of this work is conducting an experimental evaluation of some automatic test data generators to identify which one offers the best cost / benefit in terms of effective in detecting defects number of generated test data, code coverage demanded by test data, and generation time of testing. At second step a third tool was included along manually generated tests. New test sets using three automatic generators and included the manually -generated sets project were generated. Finally, results were presented in terms of effectiveness and efficiency through the comparison between the four test sets . / Considerando o alto custo e a grande quantidade de tempo demandada pela atividade de criação de casos de testes dentro do processo de desenvolvimento de software. A utilização de ferramentas ou procedimentos que tornem o processo de geração de dados de testes mais ágil, menos oneroso e que atendam demandas por precisão se tornam fundamentais para que as empresas atuantes no mercado de desenvolvimento de software possam atingir seus objetivos. Com base nessas informações, surge a dúvida relacionada a como proceder para adotar um processo de desenvolvimento e teste de software que tornem possíveis o alcance dos objetivos de forma a atender os resultados mencionados anteriormente, mesmo com as dificuldades de gerar dados de teste em decorrência dos domínios de entrada dos programas serem em geral infinitos. O objetivo do presente trabalho é conduzir uma avaliação experimental de geradores automáticos de dados de teste visando identificar qual deles apresenta a melhor relação custo/benefício em termos de eficácia em detectar defeitos, número de dados de teste gerados e cobertura de código determinada pelos conjuntos de teste. A pesquisa foi dirigida em duas etapas: na primeira, dois geradores foram avaliados em relação a um conjunto de 32 programas Java e os resultados obtidos indicam que, de maneira geral, o gerador CodePro foi o que apresentou a melhor relação custo benefício frente ao Randoop; na segunda, foi inclusa uma terceira ferramenta, juntamente a testes gerados de forma manual. Foram gerados novos conjuntos de teste utilizando os três geradores automáticos e incluso ao projeto conjuntos gerados de forma manual. Ao final, foram apresentados os resultados em termos de eficácia e eficiência por meio dos comparativos entre os quatro conjuntos de teste.

The software industry is expanding at a rapid rate. To keep up with the fast-growing and ever-changing technologies, it has become necessary to produce high-quality software in a short time and at an affordable cost. This research aims to demonstrate to Java developers the use of Automated Test Case Generation (ATCG) tools by presenting the tools that exist today, their usefulness, and their effectiveness. The main focus is on the automated testing tools for the Java industry, which can help developers achieve their goals faster and make better software. Moreover, the discussion covers the availability, features, prerequisites, effectiveness, and limitations of the automated testing tools. Among these tools, the most widely used are Evosuite, JUnit, TestNG, and Selenium. Each tool has its advantages and purpose. Furthermore, these ATCG-tools were compared to provide a clear picture to Java developers, answer the research questions, and show strengths and limitations of each selected tool. Results show that there is no single ultimate tool that can do all kinds of testing independently. It all depends on what the developer aims to achieve. If one tool is good at generating unit test cases for Java classes, another tool is good at testing the code security through penetration testing. Therefore, the Java developers may choose a tool/s based on their requirements. This study has revealed captivating findings regarding the ATCG-tools, which ought to be explored in the future.