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Regression testing is an important process for software quality. Test case reduction is one of the widely used techniques for regression testing, which can dramatically decrease the testing costs. However, it is an NP-complete problem and big test cases cannot be accomplished in reasonable amount of time. For this reason, we propose a test suite reduction approach by using greedy and genetic algorithms...
In software development, the most time consuming phase is maintenance. Regression testing, which is a part of maintenance, deals with test case prioritization that aims to increase rate of fault detection with less number of tests. In our study, we used 100 tests and 1000 faults; however, faults are detected by tests using genetic algorithm and improved genetic algorithm. After test case prioritization,...
Software risks can be defined as uncertainty and loss in project process. Software risk management consists of risk identification, estimation, refinement, mitigation, monitoring and maintenance steps. In our study we focus on prediction of project problem effects that can cause loss in software project in terms of their values on risk factors and also we want to rank our risk factors to observe how...
Discovering noisy data and classification of noisy data sets are problematic issues associated with noisy data sets. In our work, we used 36 UCI data sets that consist of differeent rates of noisy data to measure robustness of five ensemble learners and two basic classifiers to noisy data. According to classification success ratesof our study, Random Subspace and Bagging are more robust to noisy data...
Emergence of Web 2.0, internet users can share their contents with other users using social networks. In this paper microbloggers' contents are evaluated with respect to how they reflect their categories. Migrobloggers' category information, which is one of the four categories that are economy sport, entertainment or technology, is taken from wefollow.com application. 2105 RSS news feeds, whose category...
Recent advancements in Web 2.0, people can't be regarded as simple content reader, they can also contribute content as writers. This work consists of microblogging and text categorization. Text categorization steps were used in microblogs to find out users whose contributions are more valuable for its related category. 2015 RSS news feeds were taken for training and users' tweets were used as test...
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