Global ETD Search

21	Mitteilungen des URZ 3/2002 Brose, Clauß, Grunewald, Heide, Heik, Richter, Riedel, Schmidt, Wegener 03 December 2002 (has links) Mitteilungen des URZ 3/2002 IMP-WebMail, PDF, Red Hat Linux 7.3 info:eu-repo/classification/ddc/004 ddc:004 Benutzungsordnung; LaTeX
22	Mitteilungen des URZ 4/2002 Becher, Fischer, Grunewald, Junghänel, Müller, Richter, Riedel 17 December 2002 (has links) Mitteilungen des URZ 4/2002 Spam-Mails, Software-News info:eu-repo/classification/ddc/000 ddc:000 info:eu-repo/classification/ddc/620 ddc:620 Zertifizierung
23	Mitteilungen des URZ 1/2003 Ziegler, Richter, Riedel, Hille 10 March 2003 (has links) Mitteilungen des URZ 1/2003 info:eu-repo/classification/ddc/050 ddc:050 info:eu-repo/classification/ddc/004 ddc:004 Browser; Software
24	Tuning of machine learning algorithms for automatic bug assignment Artchounin, Daniel January 2017 (has links) In software development projects, bug triage consists mainly of assigning bug reports to software developers or teams (depending on the project). The partial or total automation of this task would have a positive economic impact on many software projects. This thesis introduces a systematic four-step method to find some of the best configurations of several machine learning algorithms intending to solve the automatic bug assignment problem. These four steps are respectively used to select a combination of pre-processing techniques, a bug report representation, a potential feature selection technique and to tune several classifiers. The aforementioned method has been applied on three software projects: 66 066 bug reports of a proprietary project, 24 450 bug reports of Eclipse JDT and 30 358 bug reports of Mozilla Firefox. 619 configurations have been applied and compared on each of these three projects. In production, using the approach introduced in this work on the bug reports of the proprietary project would have increased the accuracy by up to 16.64 percentage points. bug triage bug assignment bug mining bug report activity-based approach issue tracking bug repository bug tracker pre-processing feature extraction feature selection tuning model selection hyper-parameter optimization text mining text classification classifier supervised learning machine learning information retrieval bugzilla eclipse jdt mozilla firefox open source software proprietary project accuracy mean reciprocal rank software development software maintenance software engineering Computer and Information Sciences Data- och informationsvetenskap
25	Automatické testování projektu JavaScript Restrictor / Automatic Testing of JavaScript Restrictor Project Bednář, Martin January 2020 (has links) The aim of the thesis was to design, implement and evaluate the results of automatic tests for the JavaScript Restrictor project, which is being developed as a web browser extension. The tests are divided into three levels - unit, integration, and system. The Unit Tests verify the behavior of individual features, the Integration Tests verify the correct wrapping of browser API endpoints, and the System Tests check that the extension does not suppress the desired functionality of web pages. The System Tests are implemented for parallel execution in a distributed environment which has succeeded in achieving an almost directly proportional reduction in time with respect to the number of the tested nodes. The benefit of this work is detection of previously unknown errors in the JavaScript Restrictor extension and provision of the necessary information that allowed to fix some of the detected bugs.

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