1,721,033 research outputs found
Fault Classification Using Formal Modeling and Mutation Testing with Deep Learning
No full textA Master of Science thesis in Computer Engineering by Yara Kaddoura entitled, “Fault Classification Using Formal Modeling and Mutation Testing with Deep Learning”, submitted in January 2023. Thesis advisors are Dr. Khaled El-Fakih and Dr. Imran Zualkernan. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).College of EngineeringDepartment of Computer Science and EngineeringMaster of Science in Computer Engineering (MSCoE
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
A Survey on Testing for Cyber Physical System
No full textPart 4: Model and System TestingInternational audienceCyber Physical Systems (CPS) bridge the cyber-world of computing and communications with the physical world and require development of secure and reliable software. It asserts a big challenge not only on testing and verifying the correctness of all physical and cyber components of such big systems, but also on integration of these components. This paper develops a categorization of multiple levels of testing required to test CPS and makes a comparison of these levels with the levels of software testing based on the V-model. It presents a detailed state-of-the-art survey on the testing approaches performed on the CPS. Further, it provides challenges in CPS testing
Test-Data Generation for Testing Parallel Real-Time Systems
No full textPart 5: Real-Time SystemsInternational audienceThe Worst-Case Execution Time (WCET) of real-time systems is mainly influenced by the program design, its execution environment and the input data. To cover the last factor in the context of WCET estimation, the objective of this work is to generate the test-data that maximize the execution times of the parallel real-time systems. In this paper, a test-data generation technique is proposed that uses Genetic Algorithms to automatically generate the input data, to be used for testing of parallel real-time systems. The proposed technique was applied to a parallel embedded application – Stringsearch. The result was an analysis that took as input the parallel program and generated the test-data that cause maximal execution times. The generated test-data showed improvements by exercising long execution times in comparison to randomly generated input data
PROGRESSIVE SOLUTIONS TO FSM EQUATIONS
Get PDFAbstract. The equation solving problem is to derive the behavior of the unknown component X knowing the joint behavior of the other components (or the context) C and the specification of the overall system S. The component X can be derived by solving the Finite State Machine (FSM) equation C ◊ X ∼ S, where ◊ is the parallel composition operator and ∼ is the trace equivalence or the trace reduction relation. A solution X to an FSM equation is called progressive if for every external input sequence the composition C ◊ X does not fall into a livelock without an exit. In this paper, we formally define the notion of a progressive solution to a parallel FSM equation and present an algorithm that derives a largest progressive solution (if a progressive solution exists). In addition, we generalize the work to a system of FSM equations. Application examples are provided
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
mu2: A Refactoring-Based Mutation Testing Framework for Erlang
No full textPart 4: Model and System TestingInternational audienceWe present a mutation testing framework for the Erlang functional programming language. Mutation testing evaluates a test set by mutating the original System Under Test (SUT) and measuring the test set’s ability to detect the change. Designing mutation operators can be difficult, since they must modify the original program in a way that is both semantically significant, and a realistic simulation of a potential fault (either a fault with the system in its real context, or a common programmer error). The principal contribution of this work is the mu2 framework, which leverages the Wrangler refactoring API to allow users to specify their own mutation operators. The framework makes it possible to quickly and clearly define mutation operators that can have complex and subtle effects on the SUT. This allows users to define domain-specific operators that can simulate faults that are of particular relevance to their project, rather than relying on standard operators. The mutation testing framework was evaluated in an industrial setting and compared to code coverage test adequacy metrics. It was found to be a valuable compliment to code coverage techniques, since it was able to uncover additional testing limitations that could not be easily identified by coverage alone
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