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The Global ETD Search service is a free service for researchers
to find electronic theses and dissertations. This service is
provided by the
Networked Digital Library of Theses and Dissertations.
Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
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Showing 1 to 7 of 7 (0.024 seconds)Spelling suggestions: "subject:"senzilla"" "subject:"mozilla""
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Managing bug reports in free/open source software (FOSS) communitiesMohan, Nitin 09 March 2012 (has links)
Free/Open Source Software (FOSS) communities often use open bug reporting to allow users to participate by reporting bugs. This practice can lead to more duplicate reports, as inexperienced users can be less rigorous about researching existing bug reports. The purpose of this research is to determine the extent of this problem, and how FOSS projects deal with duplicate bug reports. We examined 12 FOSS projects: 4 small, 4 medium and 4 large, where size was determined by number of code contributors. First, we found that contrary to what has been reported from studies of individual large projects like Mozilla and Eclipse, duplicate bug reports are a problem for FOSS projects, especially medium-sized projects. These medium sized projects struggle with a large number of submissions and duplicates without the resources large projects use for dealing with these. Second, we found that the focus of a project does not affect the number of duplicate bug reports. Our findings point to a need for additional scaffolding and training for bug reporters of all types. Finally, we examine the impact that automatic crash reporting has on these bug repositories. These systems are quickly gaining in popularity and aim to help end-users submit vital bug information to the developers. These tools generate stack traces and memory dumps from software crashes and package these up so end-users can submit them to the project with a single mouse-click. We examined Mozilla's automatic crash reporting systems, Breakpad and Socorro, to determine how these integrate with the open bug reporting process, and whether they add to the confusion of duplicate bug reports. We found that though initial adoption exhibited teething troubles, these systems add significant value and knowledge, though the signal to noise ratio is high and the number of bugs identified per thousand reports is low. / Graduation date: 2012
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Snadná instalace a konfigurace informačního systému pro správu projektů / Simple Installation and Configuration of Information System for Project ManagementHoskovec, Dušan January 2009 (has links)
This master's thesis is focused on a development of tool for simple installation and configuration of information system for project management. This piece of work consists of four chapters. First part implies a technology study, used for making project home websites. The second chapter gives an analysis of requirements for an information system. There is a suggestion of implementation of analyzed system in the third chapter. The fourth chapter deals with implementation details of developed system.
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Implementation of the Integrated Development Platform (IDP) / Implementation of the Integrated Development Platform (IDP)Dvořák, Petr January 2012 (has links)
The aim of the thesis was to design and develop a unified application for installation and integration of the software management tools into a single comprehensive and functional unit. The application should also allow export of the project metadata via the RESTful API. The goals of the thesis were fulfilled relatively well. A set of installation scripts was created, as well as a functional web application built using the JavaEE platform. The application can be deployed in a small company after performing minor modifications. Less common deployment scenarios for CGI based applications on Apache Tomcat were also examined. Minor enhancements in the open-source project NetBeans were implemented as well. Also, a branded version of Bugzilla was created and deployed in an existing small software company.
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Systém pro správu výsledků testů doplňující nástroj tmt / Test Results Management System Complementing the tmt ToolDubaj, Ondrej January 2021 (has links)
This diploma thesis deals with the area of software testing, more precisely with the topic of managing test results. The aim of this work is to find, set up and implement a system that complements the missing functionality of the TMT tool, which is going to replace the Nitrate tool in Red Hat as a test management system. The content of this work is a basic introduction to the tools Nitrate, TMT and other technologies used in Red Hat. Furthermore, the work presents the current state of the test infrastructure and collected user requirements for a new system for managing test results. Subsequently, the ReportPortal tool is introduced as a system for test results management and the missing functionality is defined. The rest of the work is devoted to setting up the system itself and implementing the missing functionality, along with implementing the infrastructure needed to import test results into ReportPortal. The work describes the method of deploying the system in use and feedback from users. The deployed system is evaluated and its further possible improvements are discussed.
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Design of information tree for support related queries: Axis Communications AB : An exploratory research study in debug suggestions with machine learning at Axis Communications, Lund / Utformning av informationsträd för supportrelaterade frågor: Axis Communications AB : En utforskande forskningsstudie i felsökningsförslag med maskininlärning vid Axis Communications, LundRangavajjula, Santosh Bharadwaj January 2017 (has links)
Context: In today's world, we have access to so much data than at any time in the past with more and more data coming from smartphones, sensors networks, and business processes. But, most of this data is meaningless, if it's not properly formatted and utilized. Traditionally, in service support teams, issues raised by customers are processed locally, made reports and sent over in the support line for resolution. The resolution of the issue then depends on the expertise of the technicians or developers and their experience in handling similar issues which limits the size, speed, and scale of the problems that can be resolved. One solution to this problem is to make relevant information tailored to the issue under investigation to be easily available. Objectives: The focus of the thesis is to improve turn around time of customer queries using recommendations and evaluate by defining metrics in comparison to existing workflow. As Artificial Intelligence applications can have a broad spectrum, we confine the scope with a relevance in software service and Issue Tracking Systems. Software support is a complicated process as it involves various stakeholders with conflicting interests. During the course of this literary work, we are primarily interested in evaluating different AI solutions specifically in the customer support space customize and compare them. Methods: The following thesis work has been carried out by making controlled experiments using different datasets and Machine learning models. Results: We classified Axis data and Bugzilla (eclipse) using Decision Trees, K Nearest Neighbors, Neural Networks, Naive Bayes and evaluated them using precision, recall rate, and F-score. K Nearest Neighbors was having precision 0.11, recall rate 0.11, Decision Trees had precision 0.11, recall rate 0.11, Neural Networks had precision 0.13, recall rate 0.11 and Naive Bayes had precision 0.05, recall rate 0.11. The result shows too many false positives and true negatives for being able to recommend. Conclusions: In this Thesis work, we have gone through 33 research articles and synthesized them. Existing systems in place and the current state of the art is described. A debug suggestion tool was developed in python with SKlearn. Experiments with different Machine Learning models are run on the tool and highest 0.13 (precision), 0.10 (f-score), 0.11 (recall) are observed with MLP Classification Neural Network.
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Webový systém pro bugtracking / Web Bugtracking SystemPreuss, Jan January 2012 (has links)
Text describes some of the most common tools used for project management and bug/issue tracking. Describes advantages and possibilities of connecting them to more complex systems of administration and version control. It also describe analysis and design of new FITkit specific system, and ways to catch errors in QDevKit application. The rest of text describes whole implementation including examples of applied constructions and logical layout.
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Tuning of machine learning algorithms for automatic bug assignmentArtchounin, 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.
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