Tahvili (14 Ergebnisse)

Paperback. Zustand: Fair. A readable copy of the book which may include some defects such as highlighting and notes. Cover and pages may be creased and show discolouration.

Zustand: New.

Paperback. Zustand: Brand New. 40 pages. Spanish language. 8.25x8.00x0.25 inches. In Stock. Tahvili, Nazli (illustrator).

Zustand: As New. Unread book in perfect condition. Tahvili, Nazli (illustrator).

Taschenbuch. Zustand: Neu. Neuware - Un libro poético para pensar el espacio geométrico y para ejercitar los sentidos. Una niña y un niño juegan en el Parque de las Formas. Se zambullen en el círculo, retan al viento en la pista del óvalo, prueban la miel del hexágono. Sienten las formas hasta que las reconocen por las canciones que el viento toca en ellas. ENGLISH DESCRIPTION A poetic book to think about geometric space and to exercise the senses. A girl and a boy play in the Park of Shapes. They dive into the circle, challenge the wind on the oval track, taste the honey of the hexagon. They feel the shapes until they recognize them by the songs that the wind plays in them. Tahvili, Nazli (illustrator).…

Zustand: NEW.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Master's Thesis from the year 2014 in the subject Mathematics - Applied Mathematics, grade: A+, Mälardalen University, language: English, abstract: The main goal of this project is to explore the use of stochastic simulation, genetic algorithms, fuzzy decision making and other tools for solving complex maintenance planning optimization problems. We use two different maintenance activities, corrective maintenance and preventive maintenance. Since the evaluation of specifc candidate maintenance policies can take a long time to execute and the problem of finding the optimal policy is both non-linear and non-convex, we propose the use of genetic algorithms (GA) for the optimization. The main task of the GA is to find the optimal maintenance policy, which involves: (1) the probability of breakdown, (2) calculation of the cost of corrective maintenance, (3) calculation of the cost of preventive maintenance and (4) calculation of ROI (Return On Investment). Another goal of this project is to create a decision making model for multi-criteria systems. To find a near-optimal maintenance policy, we need to have an overview over the health status of the system components. To model the health of a component we should find all the operational criteria that affect it. We also need to analyze alternative maintenance activities in order to make the best maintenance decisions. In order to do that, the TOPSIS method and fuzzy decision making has been used. To evaluate the proposed methodology, internal combustion engine cooling of a typical Scania truck was used as a case study.…

Zustand: As New. Unread book in perfect condition.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Doctoral Thesis / Dissertation from the year 2018 in the subject Computer Science - Software, grade: Excellence, Mälardalen University (The school of Innovation, design and engineering), language: English, abstract: Optimizing the software testing process has received much attention over the last few decades. Test optimization is typically seen as a multi-criteria decision making problem. One aspect of test optimization involves test selection, prioritization and execution scheduling. Having an efficient test process can result in the satisfaction of many objectives such as cost and time minimization. It can also lead to on-time delivery and better quality of the final software product.To achieve the goal of test efficiency, a set of criteria, having an impact on the test cases, needs to be identified. The analysis of several industrial case studies and also state of the art in this thesis, indicate that the dependency between integration test cases is one such criterion, which has a direct impact on test execution results. Other criteria of interest include requirement coverage and test execution time. In this doctoral thesis, we introduce, apply and evaluate a set of approaches and tools for test execution optimization at industrial integration testing level in embedded software development. Furthermore, ESPRET (Estimation and Prediction of Execution Time) and sOrTES (Stochastic Optimizing of Test Case Scheduling) are our proposed supportive tools for predicting the execution time and the scheduling of manual integration test cases, respectively.All proposed methods and tools in this thesis, have been evaluated at industrial testing projects at Bombardier Transportation (BT) in Sweden. As a result of the scientific contributions made in this doctoral thesis, employing the proposed approaches has led to an improvement in terms of reducing redundant test execution failures of up to 40% with respect to the current test execution approach at BT. Moreover, an increase in the requirements coverage of up to 9.6% is observed at BT. In summary, the application of the proposed approaches in this doctoral thesis has shown to give considerable gains by optimizing test schedules in system integration testing of embedded software development. …

Hardcover. Zustand: Brand New. Italian language. 11.81x8.27x0.39 inches. In Stock.

Taschenbuch. Zustand: Neu. Using GA and MCFDM to Find the Optimal Maintenance Planning | Sahar Tahvili | Taschenbuch | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659622434 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

Taschenbuch. Zustand: Neu. Artificial Intelligence Methods for Optimization of the Software Testing Process | With Practical Examples and Exercises | Sahar Tahvili (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2022 | Elsevier Inc | EAN 9780323919135 | Verantwortliche Person für die EU: Elsevier B.V., Radarweg 29, 1043 NX AMSTERDAM, NIEDERLANDE, productsafety[at]elsevier[dot]com | Anbieter: preigu.…

Zustand: As New. Unread book in perfect condition.

Zustand: New. Presents one of the first empirical studies in the field, contrasting theoretical assumptions on innovations in a real industrial environment with a large set of use cases from developed and developing testing processes at various large industries.