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Context: Software testing is an important task in software product quality assurance. Alternatives approach for teaching and training students and professionals have been addressed in many studies, recently. In this article, peer testing is investigated as one alternative approach to mitigate the current lack of well-trained professionals. Objective: To verify the efficiency and efficacy of peer testing in order to create test cases to promote software testing education and training. Method: Conduct a controlled experiment in which subjects design and implement test cases for three small software units. Results and conclusions: In this study, it has been observed that peer testing was significantly more efficient than individual testing (with t-Test). On the other hand, it has not been observed significant differences in the efficacy of peer testing.

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This paper proposes combining the mutation testing technique with evolutionary computing to improve the test data applied to SELECT instructions. From a heuristic perspective, this approach uses Genetic Algorithms to optimize tuples selection from an original database. In other words, generating a smaller amount of tuples able to detect faults in the instructions. Mutants are analyzed to evaluate each set of data tests selected during the evolutionary process. Once the appropriate reduced database was found, it can be used whenever the SQL statement test is necessary. The experimental results indicate that the metaheuristics outperform random methods and reach, in average, 80.3% of the optimal value.

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Currently, websites are mainly composed of web widgets, dynamic elements and updatable sections-like autosuggest list, carousel, slideshow etc. In order to contribute with the development of accessible rich internet applications, this work aims to better understand the interaction of severely visually impaired users with these pages, gathering their main barriers and difficulties.

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The present study aims (a) to translate and adapt the Igroup Presence Questionnaire (IPQ) to the Portuguese context (semantic equivalence/ conceptual and content validity) and (b) to examine its psychometric properties (reliability and factorial validity). The sample consisted of 478 subjects (285 males and 193 females). The fidelity of the factors varied between 0.53 and 0.83. The confirmatory factor analysis results produced a 14-item version of IPQ-PT, accepting covariance between residual errors of some items of the instrument, as the best structural representation of the data analyzed. The CFA was conducted based on a three-variable model. The fit indexes obtained were X-2/df = 2.647, GFI = .948, CFI = .941, RSMEA = .059, and AIC = 254. These values demonstrate that the proposed Portuguese translation of the IPQ maintains its original validity, demonstrating it to be a robust questionnaire to measure the sense of presence in virtual reality studies. It is therefore recommended for use in presence research when using Portuguese samples.